{"title":"Dell GPUs","description":"\u003cp\u003eDell GPUs from Alo Tech: 231 products — data-center and workstation GPUs, AI accelerators and GPU cables\/brackets. Popular families include 256-BIT, WX5100, 384-BIT, R750XA, WX9100. Every unit ships worldwide DDP (Delivered Duty Paid) — duties and taxes are included, so there are no surprises at customs. B2B buyers get a formal quote within 24 hours and can pay by purchase order.\u003c\/p\u003e\u003cp\u003eNeed a part that is not listed? We source across the full Dell GPUs catalogue — \u003ca href=\"\/pages\/contact-us\"\u003esend us the part number\u003c\/a\u003e and we will confirm availability and lead time.\u003c\/p\u003e\u003cp class=\"seo-links\"\u003eBrowse: \u003ca href=\"\/collections\/dell-parts\"\u003eAll Dell parts\u003c\/a\u003e · \u003ca href=\"\/collections\/gpus-accelerators\"\u003eAll GPUs\u003c\/a\u003e · \u003ca href=\"\/collections\/dell-solid-state-drives-ssd\"\u003eDell SSDs\u003c\/a\u003e · \u003ca href=\"\/collections\/dell-hard-drives-hdd\"\u003eDell hard drives\u003c\/a\u003e · \u003ca href=\"\/collections\/dell-servers-systems\"\u003eDell servers\u003c\/a\u003e · \u003ca href=\"\/collections\/dell-power-supplies\"\u003eDell power supplies\u003c\/a\u003e · \u003ca href=\"\/collections\/dell-riser-backplane-boards\"\u003eDell risers \u0026amp; boards\u003c\/a\u003e\u003c\/p\u003e","products":[{"product_id":"dell-nvidia-tesla-v100-32gb-hmb2-pcie-x16-gpu-accelerator-server-0hr5wd-hr5wd","title":"Dell NVidia Tesla V100 32GB HMB2 PCIe x16 GPU Accelerator Server 0HR5WD HR5WD","description":"\u003cp style=\"text-align: justify;\"\u003e\u003c!--StartFragment--\u003e\u003cmeta content=\"text\/html; charset=us-ascii\" http-equiv=\"Content-Type\"\u003e\n\u003cstyle type=\"text\/css\"\u003ea {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003c\/p\u003e\n\n\u003ch2 style=\"text-align: justify;\"\u003eDell NVIDIA Tesla V100 32GB HBM2 PCIe GPU Accelerator (0HR5WD \/ HR5WD)\u003c\/h2\u003e\n\n\u003cp style=\"text-align: justify;\"\u003ePower your data center with the Dell NVIDIA Tesla V100 32GB GPU Accelerator, designed for extreme performance in AI, deep learning, and high-performance computing (HPC) environments. Built on NVIDIA’s advanced Volta architecture, this enterprise-grade GPU delivers exceptional compute power and memory bandwidth for demanding workloads.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003ch3 style=\"text-align: justify;\"\u003eKey Specifications\u003c\/h3\u003e\n\n\u003ch4 style=\"text-align: justify;\"\u003eArchitecture \u0026amp; Processing\u003c\/h4\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eGPU Architecture: NVIDIA Volta\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eGPU Model: GV100 (12nm FinFET)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCUDA Cores: 5,120\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eTensor Cores: 640\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eBase Clock: 1230 MHz\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eBoost Clock: 1380 MHz\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch4 style=\"text-align: justify;\"\u003eMemory\u003c\/h4\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCapacity: 32GB HBM2\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMemory Interface: 4096-bit\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMemory Bandwidth: Up to 900 GB\/s\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eECC Support: Yes (enabled by default)\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch4 style=\"text-align: justify;\"\u003ePerformance\u003c\/h4\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eTensor Performance: Up to 112 TFLOPS\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eFP32 Performance: 14 TFLOPS\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eFP64 Performance: 7 TFLOPS\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch4 style=\"text-align: justify;\"\u003eSystem Interface\u003c\/h4\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eBus Type: PCIe 3.0 x16\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eBandwidth: 32 GB\/s\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eForm Factor: Full-Height, Full-Length (FHFL), Dual Slot\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCooling: Passive (requires server airflow)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDisplay Outputs: None (compute-only GPU)\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch4 style=\"text-align: justify;\"\u003ePower \u0026amp; Thermal\u003c\/h4\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMax Power Consumption: 250W\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePower Connectors: 2x 8-pin\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eRecommended PSU: 600W or higher\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch3 style=\"text-align: justify;\"\u003eCompatibility \u0026amp; Applications\u003c\/h3\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eDesigned for Dell PowerEdge servers, this GPU is ideal for:\u003c\/p\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eArtificial Intelligence (AI) and deep learning\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMachine learning training and inference\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eScientific computing and HPC\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eData analytics and simulations\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch3 style=\"text-align: justify;\"\u003ePart Numbers\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDell P\/N: 0HR5WD \/ HR5WD\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eOther P\/Ns: 699-2G500-0216-400, 900-2G500-0150-000\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003ch3 style=\"text-align: justify;\"\u003eImportant Notes\u003c\/h3\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePassive cooling requires proper server airflow (not suitable for desktop use)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNo video outputs; this is a compute-only GPU\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePlease confirm system compatibility before purchase\u003c\/li\u003e\n\u003c\/ul\u003e\n","brand":"Dell","offers":[{"title":"Default Title","offer_id":48889694322944,"sku":"HR5WD","price":1214.09,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/9d84b89a-70d8-5bd9-b759-301c57402ddd.png?v=1782417027"},{"product_id":"nvidia-a2-ampere-16gb-gddr6-graphic-card-pg179-900-2g179-2720-001","title":"NVIDIA A2 Ampere 16GB GDDR6 Graphic Card PG179 900-2G179-2720-001","description":"\u003ch2 data-end=\"328\" data-start=\"232\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"328\" data-start=\"235\"\u003eNVIDIA A2 Ampere 16GB GDDR6 GPU Accelerator | PG179 | 900-2G179-2720-001\u003c\/strong\u003e\u003c\/h2\u003e\n\n\u003cp data-end=\"703\" data-start=\"330\" style=\"text-align: justify;\"\u003eThe \u003cstrong data-end=\"377\" data-start=\"334\"\u003eNVIDIA A2 Ampere GPU Accelerator\u003c\/strong\u003e is a compact, power-efficient \u003cstrong data-end=\"427\" data-start=\"408\"\u003eTensor Core GPU\u003c\/strong\u003e engineered for \u003cstrong data-end=\"517\" data-start=\"443\"\u003eAI inference, edge computing, and virtual desktop infrastructure (VDI)\u003c\/strong\u003e deployments. Built on \u003cstrong data-end=\"572\" data-start=\"540\"\u003eNVIDIA’s Ampere architecture\u003c\/strong\u003e, the A2 delivers exceptional performance-per-watt, making it ideal for dense server environments and low-power enterprise systems.\u003c\/p\u003e\n\n\u003cp data-end=\"968\" data-start=\"705\" style=\"text-align: justify;\"\u003eIdentified by NVIDIA part numbers \u003cstrong data-end=\"759\" data-start=\"750\"\u003ePG179\u003c\/strong\u003e, and \u003cstrong data-end=\"800\" data-start=\"778\"\u003e900-2G179-2720-001\u003c\/strong\u003e, this professional-grade accelerator provides \u003cstrong data-end=\"885\" data-start=\"847\"\u003e16GB of ECC-protected GDDR6 memory\u003c\/strong\u003e and advanced Tensor Core acceleration without requiring external power connectors.\u003c\/p\u003e\n\n\u003chr data-end=\"973\" data-start=\"970\"\u003e\n\u003ch3 data-end=\"1001\" data-start=\"975\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1001\" data-start=\"979\"\u003eKey Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"1257\" data-start=\"1003\"\u003e\n\t\u003cli data-end=\"1042\" data-start=\"1003\"\u003e\n\t\u003cp data-end=\"1042\" data-start=\"1005\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1026\" data-start=\"1005\"\u003eGPU Architecture:\u003c\/strong\u003e NVIDIA Ampere\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1068\" data-start=\"1043\"\u003e\n\t\u003cp data-end=\"1068\" data-start=\"1045\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1060\" data-start=\"1045\"\u003eCUDA Cores:\u003c\/strong\u003e 1,280\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1110\" data-start=\"1069\"\u003e\n\t\u003cp data-end=\"1110\" data-start=\"1071\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1088\" data-start=\"1071\"\u003eTensor Cores:\u003c\/strong\u003e 40 (3rd Generation)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1148\" data-start=\"1111\"\u003e\n\t\u003cp data-end=\"1148\" data-start=\"1113\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1126\" data-start=\"1113\"\u003eRT Cores:\u003c\/strong\u003e 10 (2nd Generation)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1188\" data-start=\"1149\"\u003e\n\t\u003cp data-end=\"1188\" data-start=\"1151\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1166\" data-start=\"1151\"\u003eGPU Memory:\u003c\/strong\u003e 16GB GDDR6 with ECC\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1222\" data-start=\"1189\"\u003e\n\t\u003cp data-end=\"1222\" data-start=\"1191\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1212\" data-start=\"1191\"\u003eMemory Interface:\u003c\/strong\u003e 128-bit\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1257\" data-start=\"1223\"\u003e\n\t\u003cp data-end=\"1257\" data-start=\"1225\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1246\" data-start=\"1225\"\u003eMemory Bandwidth:\u003c\/strong\u003e 200 GB\/s\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"1262\" data-start=\"1259\"\u003e\n\u003ch3 data-end=\"1294\" data-start=\"1264\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1294\" data-start=\"1268\"\u003ePerformance Highlights\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"1621\" data-start=\"1296\"\u003e\n\t\u003cli data-end=\"1343\" data-start=\"1296\"\u003e\n\t\u003cp data-end=\"1343\" data-start=\"1298\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1324\" data-start=\"1298\"\u003ePeak FP32 Performance:\u003c\/strong\u003e Up to 4.5 TFLOPS\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1417\" data-start=\"1344\"\u003e\n\t\u003cp data-end=\"1417\" data-start=\"1346\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1374\" data-start=\"1346\"\u003eTF32 Tensor Performance:\u003c\/strong\u003e Up to 9 TFLOPS (18 TFLOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1492\" data-start=\"1418\"\u003e\n\t\u003cp data-end=\"1492\" data-start=\"1420\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1448\" data-start=\"1420\"\u003eFP16 Tensor Performance:\u003c\/strong\u003e Up to 18 TFLOPS (36 TFLOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1556\" data-start=\"1493\"\u003e\n\t\u003cp data-end=\"1556\" data-start=\"1495\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1516\" data-start=\"1495\"\u003eINT8 Performance:\u003c\/strong\u003e Up to 36 TOPS (72 TOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1621\" data-start=\"1557\"\u003e\n\t\u003cp data-end=\"1621\" data-start=\"1559\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1580\" data-start=\"1559\"\u003eINT4 Performance:\u003c\/strong\u003e Up to 72 TOPS (144 TOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"1626\" data-start=\"1623\"\u003e\n\u003ch3 data-end=\"1660\" data-start=\"1628\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1660\" data-start=\"1632\"\u003ePhysical \u0026amp; Power Details\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"2030\" data-start=\"1662\"\u003e\n\t\u003cli data-end=\"1744\" data-start=\"1662\"\u003e\n\t\u003cp data-end=\"1744\" data-start=\"1664\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1680\" data-start=\"1664\"\u003eForm Factor:\u003c\/strong\u003e Single-slot, low-profile PCIe (full-height bracket supported)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1775\" data-start=\"1745\"\u003e\n\t\u003cp data-end=\"1775\" data-start=\"1747\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1761\" data-start=\"1747\"\u003eInterface:\u003c\/strong\u003e PCIe 4.0 x8\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1815\" data-start=\"1776\"\u003e\n\t\u003cp data-end=\"1815\" data-start=\"1778\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1805\" data-start=\"1778\"\u003eInterconnect Bandwidth:\u003c\/strong\u003e 32 GB\/s\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1875\" data-start=\"1816\"\u003e\n\t\u003cp data-end=\"1875\" data-start=\"1818\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1830\" data-start=\"1818\"\u003eCooling:\u003c\/strong\u003e Passive heatsink (requires server airflow)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1927\" data-start=\"1876\"\u003e\n\t\u003cp data-end=\"1927\" data-start=\"1878\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1900\" data-start=\"1878\"\u003ePower Consumption:\u003c\/strong\u003e Configurable 40W–60W TDP\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1981\" data-start=\"1928\"\u003e\n\t\u003cp data-end=\"1981\" data-start=\"1930\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1950\" data-start=\"1930\"\u003ePower Connector:\u003c\/strong\u003e None required (slot-powered)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2030\" data-start=\"1982\"\u003e\n\t\u003cp data-end=\"2030\" data-start=\"1984\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2004\" data-start=\"1984\"\u003eDisplay Outputs:\u003c\/strong\u003e None (compute-only GPU)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"2035\" data-start=\"2032\"\u003e\n\u003ch3 data-end=\"2075\" data-start=\"2037\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2075\" data-start=\"2041\"\u003eEnterprise Features \u0026amp; Benefits\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"2365\" data-start=\"2077\"\u003e\n\t\u003cli data-end=\"2130\" data-start=\"2077\"\u003e\n\t\u003cp data-end=\"2130\" data-start=\"2079\" style=\"text-align: justify;\"\u003eOptimized for \u003cstrong data-end=\"2128\" data-start=\"2093\"\u003eAI inference and edge workloads\u003c\/strong\u003e\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2191\" data-start=\"2131\"\u003e\n\t\u003cp data-end=\"2191\" data-start=\"2133\" style=\"text-align: justify;\"\u003eExcellent \u003cstrong data-end=\"2167\" data-start=\"2143\"\u003eperformance per watt\u003c\/strong\u003e for dense deployments\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2237\" data-start=\"2192\"\u003e\n\t\u003cp data-end=\"2237\" data-start=\"2194\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2216\" data-start=\"2194\"\u003eECC memory support\u003c\/strong\u003e for data integrity\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2308\" data-start=\"2238\"\u003e\n\t\u003cp data-end=\"2308\" data-start=\"2240\" style=\"text-align: justify;\"\u003eIdeal for \u003cstrong data-end=\"2306\" data-start=\"2250\"\u003eVDI, machine learning, analytics, and cloud services\u003c\/strong\u003e\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2365\" data-start=\"2309\"\u003e\n\t\u003cp data-end=\"2365\" data-start=\"2311\" style=\"text-align: justify;\"\u003eCertified for \u003cstrong data-end=\"2363\" data-start=\"2325\"\u003eLenovo enterprise server platforms\u003c\/strong\u003e\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"2370\" data-start=\"2367\"\u003e\n\u003ch3 data-end=\"2395\" data-start=\"2372\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2395\" data-start=\"2376\"\u003eIdeal Use Cases\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"2612\" data-start=\"2397\"\u003e\n\t\u003cli data-end=\"2434\" data-start=\"2397\"\u003e\n\t\u003cp data-end=\"2434\" data-start=\"2399\" style=\"text-align: justify;\"\u003eAI and machine learning inference\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2475\" data-start=\"2435\"\u003e\n\t\u003cp data-end=\"2475\" data-start=\"2437\" style=\"text-align: justify;\"\u003eVirtual desktop infrastructure (VDI)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2512\" data-start=\"2476\"\u003e\n\t\u003cp data-end=\"2512\" data-start=\"2478\" style=\"text-align: justify;\"\u003eEdge computing and IoT analytics\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2570\" data-start=\"2513\"\u003e\n\t\u003cp data-end=\"2570\" data-start=\"2515\" style=\"text-align: justify;\"\u003eEnterprise virtualization and containerized workloads\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2612\" data-start=\"2571\"\u003e\n\t\u003cp data-end=\"2612\" data-start=\"2573\" style=\"text-align: justify;\"\u003ePower-constrained server environments\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"2617\" data-start=\"2614\"\u003e\n\u003cp data-end=\"2897\" data-is-last-node=\"\" data-is-only-node=\"\" data-start=\"2619\" style=\"text-align: justify;\"\u003eThe \u003cstrong data-end=\"2698\" data-start=\"2623\"\u003eNVIDIA A2 Ampere 16GB GPU (PG179 \/ 03GX831 \/ 900-2G179-2720-001)\u003c\/strong\u003e delivers \u003cstrong data-end=\"2782\" data-start=\"2708\"\u003eenterprise-class AI acceleration in a compact, energy-efficient design\u003c\/strong\u003e, making it a smart choice for organizations seeking scalable AI performance without high power or cooling demands.\u003c\/p\u003e\n","brand":"Dell","offers":[{"title":"Default Title","offer_id":48889736626432,"sku":"03GX831-NVIDIA","price":674.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/391dd2af-2bdd-5a48-ac85-61ebb1b60da6_86dcb049-4f55-4e1f-9151-ecc71cbc9bec.png?v=1782418048"},{"product_id":"lenovo-nvidia-a2-ampere-16gb-gddr6-graphic-card-pg179-900-2g179-2720-001-03gx831","title":"Lenovo Nvidia A2 Ampere 16GB GDDR6 Graphic Card PG179 900-2G179-2720-001 03GX831","description":"\u003ch2 data-end=\"328\" data-start=\"232\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"328\" data-start=\"235\"\u003eLenovo NVIDIA A2 Ampere 16GB GDDR6 GPU Accelerator | PG179 | 03GX831 | 900-2G179-2720-001\u003c\/strong\u003e\u003c\/h2\u003e\n\n\u003cp data-end=\"703\" data-start=\"330\" style=\"text-align: justify;\"\u003eThe \u003cstrong data-end=\"377\" data-start=\"334\"\u003eLenovo NVIDIA A2 Ampere GPU Accelerator\u003c\/strong\u003e is a compact, power-efficient \u003cstrong data-end=\"427\" data-start=\"408\"\u003eTensor Core GPU\u003c\/strong\u003e engineered for \u003cstrong data-end=\"517\" data-start=\"443\"\u003eAI inference, edge computing, and virtual desktop infrastructure (VDI)\u003c\/strong\u003e deployments. Built on \u003cstrong data-end=\"572\" data-start=\"540\"\u003eNVIDIA’s Ampere architecture\u003c\/strong\u003e, the A2 delivers exceptional performance-per-watt, making it ideal for dense server environments and low-power enterprise systems.\u003c\/p\u003e\n\n\u003cp data-end=\"968\" data-start=\"705\" style=\"text-align: justify;\"\u003eIdentified by Lenovo and NVIDIA part numbers \u003cstrong data-end=\"759\" data-start=\"750\"\u003ePG179\u003c\/strong\u003e, \u003cstrong data-end=\"772\" data-start=\"761\"\u003e03GX831\u003c\/strong\u003e, and \u003cstrong data-end=\"800\" data-start=\"778\"\u003e900-2G179-2720-001\u003c\/strong\u003e, this professional-grade accelerator provides \u003cstrong data-end=\"885\" data-start=\"847\"\u003e16GB of ECC-protected GDDR6 memory\u003c\/strong\u003e and advanced Tensor Core acceleration without requiring external power connectors.\u003c\/p\u003e\n\n\u003chr data-end=\"973\" data-start=\"970\"\u003e\n\u003ch3 data-end=\"1001\" data-start=\"975\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1001\" data-start=\"979\"\u003eKey Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"1257\" data-start=\"1003\"\u003e\n\t\u003cli data-end=\"1042\" data-start=\"1003\"\u003e\n\t\u003cp data-end=\"1042\" data-start=\"1005\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1026\" data-start=\"1005\"\u003eGPU Architecture:\u003c\/strong\u003e NVIDIA Ampere\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1068\" data-start=\"1043\"\u003e\n\t\u003cp data-end=\"1068\" data-start=\"1045\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1060\" data-start=\"1045\"\u003eCUDA Cores:\u003c\/strong\u003e 1,280\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1110\" data-start=\"1069\"\u003e\n\t\u003cp data-end=\"1110\" data-start=\"1071\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1088\" data-start=\"1071\"\u003eTensor Cores:\u003c\/strong\u003e 40 (3rd Generation)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1148\" data-start=\"1111\"\u003e\n\t\u003cp data-end=\"1148\" data-start=\"1113\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1126\" data-start=\"1113\"\u003eRT Cores:\u003c\/strong\u003e 10 (2nd Generation)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1188\" data-start=\"1149\"\u003e\n\t\u003cp data-end=\"1188\" data-start=\"1151\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1166\" data-start=\"1151\"\u003eGPU Memory:\u003c\/strong\u003e 16GB GDDR6 with ECC\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1222\" data-start=\"1189\"\u003e\n\t\u003cp data-end=\"1222\" data-start=\"1191\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1212\" data-start=\"1191\"\u003eMemory Interface:\u003c\/strong\u003e 128-bit\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1257\" data-start=\"1223\"\u003e\n\t\u003cp data-end=\"1257\" data-start=\"1225\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1246\" data-start=\"1225\"\u003eMemory Bandwidth:\u003c\/strong\u003e 200 GB\/s\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"1262\" data-start=\"1259\"\u003e\n\u003ch3 data-end=\"1294\" data-start=\"1264\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1294\" data-start=\"1268\"\u003ePerformance Highlights\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"1621\" data-start=\"1296\"\u003e\n\t\u003cli data-end=\"1343\" data-start=\"1296\"\u003e\n\t\u003cp data-end=\"1343\" data-start=\"1298\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1324\" data-start=\"1298\"\u003ePeak FP32 Performance:\u003c\/strong\u003e Up to 4.5 TFLOPS\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1417\" data-start=\"1344\"\u003e\n\t\u003cp data-end=\"1417\" data-start=\"1346\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1374\" data-start=\"1346\"\u003eTF32 Tensor Performance:\u003c\/strong\u003e Up to 9 TFLOPS (18 TFLOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1492\" data-start=\"1418\"\u003e\n\t\u003cp data-end=\"1492\" data-start=\"1420\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1448\" data-start=\"1420\"\u003eFP16 Tensor Performance:\u003c\/strong\u003e Up to 18 TFLOPS (36 TFLOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1556\" data-start=\"1493\"\u003e\n\t\u003cp data-end=\"1556\" data-start=\"1495\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1516\" data-start=\"1495\"\u003eINT8 Performance:\u003c\/strong\u003e Up to 36 TOPS (72 TOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1621\" data-start=\"1557\"\u003e\n\t\u003cp data-end=\"1621\" data-start=\"1559\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1580\" data-start=\"1559\"\u003eINT4 Performance:\u003c\/strong\u003e Up to 72 TOPS (144 TOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"1626\" data-start=\"1623\"\u003e\n\u003ch3 data-end=\"1660\" data-start=\"1628\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1660\" data-start=\"1632\"\u003ePhysical \u0026amp; Power Details\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"2030\" data-start=\"1662\"\u003e\n\t\u003cli data-end=\"1744\" data-start=\"1662\"\u003e\n\t\u003cp data-end=\"1744\" data-start=\"1664\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1680\" data-start=\"1664\"\u003eForm Factor:\u003c\/strong\u003e Single-slot, low-profile PCIe (full-height bracket supported)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1775\" data-start=\"1745\"\u003e\n\t\u003cp data-end=\"1775\" data-start=\"1747\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1761\" data-start=\"1747\"\u003eInterface:\u003c\/strong\u003e PCIe 4.0 x8\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1815\" data-start=\"1776\"\u003e\n\t\u003cp data-end=\"1815\" data-start=\"1778\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1805\" data-start=\"1778\"\u003eInterconnect Bandwidth:\u003c\/strong\u003e 32 GB\/s\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1875\" data-start=\"1816\"\u003e\n\t\u003cp data-end=\"1875\" data-start=\"1818\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1830\" data-start=\"1818\"\u003eCooling:\u003c\/strong\u003e Passive heatsink (requires server airflow)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1927\" data-start=\"1876\"\u003e\n\t\u003cp data-end=\"1927\" data-start=\"1878\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1900\" data-start=\"1878\"\u003ePower Consumption:\u003c\/strong\u003e Configurable 40W–60W TDP\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1981\" data-start=\"1928\"\u003e\n\t\u003cp data-end=\"1981\" data-start=\"1930\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1950\" data-start=\"1930\"\u003ePower Connector:\u003c\/strong\u003e None required (slot-powered)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2030\" data-start=\"1982\"\u003e\n\t\u003cp data-end=\"2030\" data-start=\"1984\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2004\" data-start=\"1984\"\u003eDisplay Outputs:\u003c\/strong\u003e None (compute-only GPU)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"2035\" data-start=\"2032\"\u003e\n\u003ch3 data-end=\"2075\" data-start=\"2037\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2075\" data-start=\"2041\"\u003eEnterprise Features \u0026amp; Benefits\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"2365\" data-start=\"2077\"\u003e\n\t\u003cli data-end=\"2130\" data-start=\"2077\"\u003e\n\t\u003cp data-end=\"2130\" data-start=\"2079\" style=\"text-align: justify;\"\u003eOptimized for \u003cstrong data-end=\"2128\" data-start=\"2093\"\u003eAI inference and edge workloads\u003c\/strong\u003e\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2191\" data-start=\"2131\"\u003e\n\t\u003cp data-end=\"2191\" data-start=\"2133\" style=\"text-align: justify;\"\u003eExcellent \u003cstrong data-end=\"2167\" data-start=\"2143\"\u003eperformance per watt\u003c\/strong\u003e for dense deployments\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2237\" data-start=\"2192\"\u003e\n\t\u003cp data-end=\"2237\" data-start=\"2194\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2216\" data-start=\"2194\"\u003eECC memory support\u003c\/strong\u003e for data integrity\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2308\" data-start=\"2238\"\u003e\n\t\u003cp data-end=\"2308\" data-start=\"2240\" style=\"text-align: justify;\"\u003eIdeal for \u003cstrong data-end=\"2306\" data-start=\"2250\"\u003eVDI, machine learning, analytics, and cloud services\u003c\/strong\u003e\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2365\" data-start=\"2309\"\u003e\n\t\u003cp data-end=\"2365\" data-start=\"2311\" style=\"text-align: justify;\"\u003eCertified for \u003cstrong data-end=\"2363\" data-start=\"2325\"\u003eLenovo enterprise server platforms\u003c\/strong\u003e\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"2370\" data-start=\"2367\"\u003e\n\u003ch3 data-end=\"2395\" data-start=\"2372\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2395\" data-start=\"2376\"\u003eIdeal Use Cases\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"2612\" data-start=\"2397\"\u003e\n\t\u003cli data-end=\"2434\" data-start=\"2397\"\u003e\n\t\u003cp data-end=\"2434\" data-start=\"2399\" style=\"text-align: justify;\"\u003eAI and machine learning inference\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2475\" data-start=\"2435\"\u003e\n\t\u003cp data-end=\"2475\" data-start=\"2437\" style=\"text-align: justify;\"\u003eVirtual desktop infrastructure (VDI)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2512\" data-start=\"2476\"\u003e\n\t\u003cp data-end=\"2512\" data-start=\"2478\" style=\"text-align: justify;\"\u003eEdge computing and IoT analytics\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2570\" data-start=\"2513\"\u003e\n\t\u003cp data-end=\"2570\" data-start=\"2515\" style=\"text-align: justify;\"\u003eEnterprise virtualization and containerized workloads\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2612\" data-start=\"2571\"\u003e\n\t\u003cp data-end=\"2612\" data-start=\"2573\" style=\"text-align: justify;\"\u003ePower-constrained server environments\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"2617\" data-start=\"2614\"\u003e\n\u003cp data-end=\"2897\" data-is-last-node=\"\" data-is-only-node=\"\" data-start=\"2619\" style=\"text-align: justify;\"\u003eThe \u003cstrong data-end=\"2698\" data-start=\"2623\"\u003eLenovo NVIDIA A2 Ampere 16GB GPU (PG179 \/ 03GX831 \/ 900-2G179-2720-001)\u003c\/strong\u003e delivers \u003cstrong data-end=\"2782\" data-start=\"2708\"\u003eenterprise-class AI acceleration in a compact, energy-efficient design\u003c\/strong\u003e, making it a smart choice for organizations seeking scalable AI performance without high power or cooling demands.\u003c\/p\u003e\n","brand":"Dell","offers":[{"title":"Default Title","offer_id":48889776931072,"sku":"03GX831","price":674.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/391dd2af-2bdd-5a48-ac85-61ebb1b60da6.png?v=1782418233"},{"product_id":"nvidia-tesla-k80-gpu-24gb-gddr5-pcie-30-gpu-accelerator-card-699-22080-0200-520","title":"Nvidia Tesla K80 GPU 24GB GDDR5 PCIe 3.0 GPU Accelerator Card 699-22080-0200-520","description":"\u003cp data-end=\"348\" data-start=\"160\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"348\" data-start=\"160\"\u003eNvidia Tesla K80 GPU 24GB GDDR5 PCI Express 3.0 x16 GPU Accelerator Graphic Card | Model P2080 | 699-22080-0200-520 | 900-22080-0000-000 — Dual-GPU High-Performance Compute Accelerator\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp data-end=\"776\" data-start=\"350\" style=\"text-align: justify;\"\u003eThe \u003cstrong data-end=\"374\" data-start=\"354\"\u003eNvidia Tesla K80\u003c\/strong\u003e is a powerful dual-GPU accelerator engineered for scientific computing, deep learning, HPC clusters, and large-scale data processing workloads. This enterprise-grade GPU—model \u003cstrong data-end=\"560\" data-start=\"551\"\u003eP2080\u003c\/strong\u003e, part numbers \u003cstrong data-end=\"597\" data-start=\"575\"\u003e699-22080-0200-520\u003c\/strong\u003e and \u003cstrong data-end=\"624\" data-start=\"602\"\u003e900-22080-0000-000\u003c\/strong\u003e—combines two Kepler GK210 GPUs on a single board, delivering massive parallel performance, advanced ECC protection, and exceptional compute throughput.\u003c\/p\u003e\n\n\u003cp data-end=\"974\" data-start=\"778\" style=\"text-align: justify;\"\u003eWith \u003cstrong data-end=\"807\" data-start=\"783\"\u003e24GB of GDDR5 memory\u003c\/strong\u003e, \u003cstrong data-end=\"828\" data-start=\"809\"\u003e4992 CUDA cores\u003c\/strong\u003e, and support for leading HPC frameworks, the Tesla K80 is ideal for data centers, AI research labs, and high-performance simulation environments.\u003c\/p\u003e\n\n\u003chr data-end=\"979\" data-start=\"976\"\u003e\n\u003ch3 data-end=\"1017\" data-start=\"981\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1017\" data-start=\"985\"\u003eKey Technical Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003ctable data-end=\"2051\" data-start=\"1019\"\u003e\n\t\u003cthead data-end=\"1046\" data-start=\"1019\"\u003e\n\t\t\u003ctr data-end=\"1046\" data-start=\"1019\"\u003e\n\t\t\t\u003cth data-col-size=\"sm\" data-end=\"1029\" data-start=\"1019\" style=\"text-align: justify;\"\u003eFeature\u003c\/th\u003e\n\t\t\t\u003cth data-col-size=\"md\" data-end=\"1046\" data-start=\"1029\" style=\"text-align: justify;\"\u003eSpecification\u003c\/th\u003e\n\t\t\u003c\/tr\u003e\n\t\u003c\/thead\u003e\n\t\u003ctbody data-end=\"2051\" data-start=\"1073\"\u003e\n\t\t\u003ctr data-end=\"1118\" data-start=\"1073\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1090\" data-start=\"1073\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1089\" data-start=\"1075\"\u003eModel Name\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1118\" data-start=\"1090\" style=\"text-align: justify;\"\u003eNvidia Tesla K80 (P2080)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1167\" data-start=\"1119\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1145\" data-start=\"1119\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1144\" data-start=\"1121\"\u003ePrimary Part Number\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1167\" data-start=\"1145\" style=\"text-align: justify;\"\u003e699-22080-0200-520\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1219\" data-start=\"1168\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1197\" data-start=\"1168\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1196\" data-start=\"1170\"\u003eAdditional Part Number\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1219\" data-start=\"1197\" style=\"text-align: justify;\"\u003e900-22080-0000-000\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1257\" data-start=\"1220\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1243\" data-start=\"1220\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1242\" data-start=\"1222\"\u003eGPU Architecture\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1257\" data-start=\"1243\" style=\"text-align: justify;\"\u003eKepler 2.0\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1293\" data-start=\"1258\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1274\" data-start=\"1258\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1273\" data-start=\"1260\"\u003eGPU Chips\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1293\" data-start=\"1274\" style=\"text-align: justify;\"\u003eDual GK210 GPUs\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1340\" data-start=\"1294\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1311\" data-start=\"1294\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1310\" data-start=\"1296\"\u003eCUDA Cores\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1340\" data-start=\"1311\" style=\"text-align: justify;\"\u003e4992 total (2496 per GPU)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1390\" data-start=\"1341\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1359\" data-start=\"1341\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1358\" data-start=\"1343\"\u003eMemory Size\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1390\" data-start=\"1359\" style=\"text-align: justify;\"\u003e24 GB GDDR5 (12 GB per GPU)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1450\" data-start=\"1391\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1414\" data-start=\"1391\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1413\" data-start=\"1393\"\u003eMemory Interface\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1450\" data-start=\"1414\" style=\"text-align: justify;\"\u003eDual 384-bit (768-bit aggregate)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1486\" data-start=\"1451\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1474\" data-start=\"1451\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1473\" data-start=\"1453\"\u003eMemory Bandwidth\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1486\" data-start=\"1474\" style=\"text-align: justify;\"\u003e480 GB\/s\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1515\" data-start=\"1487\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1504\" data-start=\"1487\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1503\" data-start=\"1489\"\u003eBase Clock\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1515\" data-start=\"1504\" style=\"text-align: justify;\"\u003e560 MHz\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1551\" data-start=\"1516\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1534\" data-start=\"1516\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1533\" data-start=\"1518\"\u003eBoost Clock\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1551\" data-start=\"1534\" style=\"text-align: justify;\"\u003eUp to 875 MHz\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1616\" data-start=\"1552\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1587\" data-start=\"1552\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1586\" data-start=\"1554\"\u003eSingle-Precision Performance\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1616\" data-start=\"1587\" style=\"text-align: justify;\"\u003eUp to 8.74 TFLOPS (board)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1681\" data-start=\"1617\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1652\" data-start=\"1617\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1651\" data-start=\"1619\"\u003eDouble-Precision Performance\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1681\" data-start=\"1652\" style=\"text-align: justify;\"\u003eUp to 2.91 TFLOPS (board)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1728\" data-start=\"1682\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1705\" data-start=\"1682\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1704\" data-start=\"1684\"\u003eSystem Interface\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1728\" data-start=\"1705\" style=\"text-align: justify;\"\u003ePCI Express 3.0 x16\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1766\" data-start=\"1729\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1757\" data-start=\"1729\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1756\" data-start=\"1731\"\u003eMax Power Consumption\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1766\" data-start=\"1757\" style=\"text-align: justify;\"\u003e300 W\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1808\" data-start=\"1767\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1789\" data-start=\"1767\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1788\" data-start=\"1769\"\u003ePower Connector\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1808\" data-start=\"1789\" style=\"text-align: justify;\"\u003e1 × 8-pin PCI-E\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1878\" data-start=\"1809\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1832\" data-start=\"1809\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1831\" data-start=\"1811\"\u003eCooling Solution\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1878\" data-start=\"1832\" style=\"text-align: justify;\"\u003ePassive heatsink (requires server airflow)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"1955\" data-start=\"1879\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1897\" data-start=\"1879\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1896\" data-start=\"1881\"\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"1955\" data-start=\"1897\" style=\"text-align: justify;\"\u003eDual-slot, full-height, full-length (4.4\" H × 10.5\" L)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"2020\" data-start=\"1956\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"1974\" data-start=\"1956\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1973\" data-start=\"1958\"\u003eAPI Support\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"2020\" data-start=\"1974\" style=\"text-align: justify;\"\u003eCUDA, DirectX 12, Direct3D, Vulkan, Mantle\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr data-end=\"2051\" data-start=\"2021\"\u003e\n\t\t\t\u003ctd data-col-size=\"sm\" data-end=\"2038\" data-start=\"2021\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2037\" data-start=\"2023\"\u003eECC Memory\u003c\/strong\u003e\u003c\/td\u003e\n\t\t\t\u003ctd data-col-size=\"md\" data-end=\"2051\" data-start=\"2038\" style=\"text-align: justify;\"\u003eSupported\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003chr data-end=\"2056\" data-start=\"2053\"\u003e\n\u003ch3 data-end=\"2091\" data-start=\"2058\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2091\" data-start=\"2062\"\u003eEnterprise-Grade Features\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"2777\" data-start=\"2093\"\u003e\n\t\u003cli data-end=\"2231\" data-start=\"2093\"\u003e\n\t\u003cp data-end=\"2231\" data-start=\"2095\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2121\" data-start=\"2095\"\u003eDual-GPU Architecture:\u003c\/strong\u003e Two GK210 processors deliver superior parallel throughput for HPC, deep learning, and simulation workloads.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2339\" data-start=\"2232\"\u003e\n\t\u003cp data-end=\"2339\" data-start=\"2234\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2262\" data-start=\"2234\"\u003eLarge 24GB GDDR5 Memory:\u003c\/strong\u003e Supports massive datasets, scientific models, and large batch AI training.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2434\" data-start=\"2340\"\u003e\n\t\u003cp data-end=\"2434\" data-start=\"2342\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2361\" data-start=\"2342\"\u003eECC Protection:\u003c\/strong\u003e Ensures data integrity and reliability for mission-critical workloads.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2557\" data-start=\"2435\"\u003e\n\t\u003cp data-end=\"2557\" data-start=\"2437\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2466\" data-start=\"2437\"\u003eHigh Compute Performance:\u003c\/strong\u003e Up to \u003cstrong data-end=\"2488\" data-start=\"2473\"\u003e8.74 TFLOPS\u003c\/strong\u003e single-precision and \u003cstrong data-end=\"2525\" data-start=\"2510\"\u003e2.91 TFLOPS\u003c\/strong\u003e double-precision performance.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2692\" data-start=\"2558\"\u003e\n\t\u003cp data-end=\"2692\" data-start=\"2560\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2586\" data-start=\"2560\"\u003eOptimized for Servers:\u003c\/strong\u003e Passive cooling requires chassis-level airflow, ideal for rackmount servers and GPU-compute appliances.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2777\" data-start=\"2693\"\u003e\n\t\u003cp data-end=\"2777\" data-start=\"2695\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2722\" data-start=\"2695\"\u003eScalable PCIe Solution:\u003c\/strong\u003e PCIe 3.0 x16 ensures high-bandwidth data throughput.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"2782\" data-start=\"2779\"\u003e\n\u003ch3 data-end=\"2810\" data-start=\"2784\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2810\" data-start=\"2788\"\u003eIdeal Applications\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"3109\" data-start=\"2812\"\u003e\n\t\u003cli data-end=\"2861\" data-start=\"2812\"\u003e\n\t\u003cp data-end=\"2861\" data-start=\"2814\" style=\"text-align: justify;\"\u003eScientific computing and numerical simulation\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2923\" data-start=\"2862\"\u003e\n\t\u003cp data-end=\"2923\" data-start=\"2864\" style=\"text-align: justify;\"\u003eDeep learning training (legacy and HPC-focused workflows)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2969\" data-start=\"2924\"\u003e\n\t\u003cp data-end=\"2969\" data-start=\"2926\" style=\"text-align: justify;\"\u003eHigh-performance computing (HPC) clusters\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"3015\" data-start=\"2970\"\u003e\n\t\u003cp data-end=\"3015\" data-start=\"2972\" style=\"text-align: justify;\"\u003eEngineering, modeling, and data analytics\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"3057\" data-start=\"3016\"\u003e\n\t\u003cp data-end=\"3057\" data-start=\"3018\" style=\"text-align: justify;\"\u003eGPU-accelerated research environments\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"3109\" data-start=\"3058\"\u003e\n\t\u003cp data-end=\"3109\" data-start=\"3060\" style=\"text-align: justify;\"\u003eVirtualization and parallel computing workloads\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"3114\" data-start=\"3111\"\u003e\n\u003cp data-end=\"3393\" data-is-last-node=\"\" data-is-only-node=\"\" data-start=\"3116\" style=\"text-align: justify;\"\u003eBoost your compute infrastructure with the \u003cstrong data-end=\"3200\" data-start=\"3159\"\u003eNvidia Tesla K80 24GB GPU Accelerator\u003c\/strong\u003e—a proven, high-performance solution built for demanding enterprise, research, and data center applications. Perfect for organizations needing reliable, scalable GPU power at exceptional value.\u003c\/p\u003e\n","brand":"Dell","offers":[{"title":"Default Title","offer_id":48889800786176,"sku":"699-22080-0200-520","price":134.89,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/0ddc0647-4668-5fc1-8699-0c6fc94ed235.png?v=1782418247"},{"product_id":"dell-nvidia-quadro-m2000-4gb-gddr5-4-port-video-graphics-card-0w2tp6-w2tp6","title":"Dell Nvidia Quadro M2000 4GB GDDR5 4 Port Video Graphics Card 0W2TP6 W2TP6","description":"\u003cdiv class=\"alo-desc\"\u003e\n\u003cp\u003eDell Nvidia Quadro M2000 4GB GDDR5 4 Port Video Graphics Card 0W2TP6 W2TP6 is a genuine Dell part in our GPUs range — data-center and workstation GPUs, AI accelerators and GPU cables\/brackets. Reference part numbers: M2000, GDDR5, 0W2TP6.\u003c\/p\u003e\n\u003cp\u003eGPU: Quadro M2000 CUDA Cores: 768 Memory Size: 4GB Memory Type: GDDR5 Display Port: 4 X DisplayPort 1.2\u003c\/p\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable class=\"alo-specs\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eBrand\u003c\/th\u003e\n\u003ctd\u003eDell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePart number(s)\u003c\/th\u003e\n\u003ctd\u003eM2000, GDDR5, 0W2TP6, W2TP6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCategory\u003c\/th\u003e\n\u003ctd\u003eGPUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ch2\u003eOrdering from Alo Tech\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eWorldwide DDP shipping — duties, taxes and customs clearance included in the quote.\u003c\/li\u003e\n\u003cli\u003eB2B pricing with a formal quote within 24 hours; purchase orders accepted.\u003c\/li\u003e\n\u003cli\u003eVolume and project pricing available for Dell deployments.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"alo-links\"\u003eBrowse: \u003ca href=\"\/collections\/dell-gpus-accelerators\"\u003eDell GPUs\u003c\/a\u003e · \u003ca href=\"\/collections\/gpus-accelerators\"\u003eAll GPUs\u003c\/a\u003e · \u003ca href=\"\/collections\/dell-parts\"\u003eAll Dell parts\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":48889809568000,"sku":"W2TP6","price":72.41,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/3b09bb64-241d-581f-8733-cf553126f951.png?v=1782418274"},{"product_id":"dell-nvidia-tesla-p100-16gb-pcie-hbm2-gpu-graphics-accelerator-card-0rgkp9-rgkp9","title":"Dell Nvidia Tesla P100 16GB PCIe HBM2 GPU Graphics Accelerator Card 0RGKP9 RGKP9","description":"\u003cp\u003eDell Nvidia Tesla P100 16GB PCIe HBM2 GPU Graphics Accelerator Card (Part #0RGKP9 \/ RGKP9) provides enterprise-grade GPU acceleration for compute-intensive workloads. With 16GB of high-bandwidth HBM2 memory and PCIe connectivity, this accelerator is ideal for machine learning, scientific computing, and data analytics applications in data centers.\u003c\/p\u003e\u003ch3\u003eSpecifications\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePart Numbers\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e0RGKP9, RGKP9\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBrand\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDell\/Nvidia\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModel\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTesla P100\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eType\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGPU Graphics Accelerator\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e16GB HBM2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInterface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePCIe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eAvailable new and refurbished — contact us for current stock and condition options.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"\/pages\/request-for-quote\"\u003e\u003cstrong\u003eRequest a Quote — Bulk \/ DDP Pricing\u003c\/strong\u003e\u003c\/a\u003e\u003c\/p\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":48889860325632,"sku":"RGKP9","price":1712.51,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/ae1001bc-e9cd-5931-9fee-d3402e7ee654.jpg?v=1782418444"},{"product_id":"dell-nvidia-p3651-a100-h100-2-slot-x16-nvlink-bridge-adapter-2-way-pn-rwj7y-0rwj7y","title":"Dell Nvidia P3651 A100 \/ H100 2-Slot x16 NVLink Bridge Adapter (2 WAY). P\/N: RWJ7Y, 0RWJ7Y.","description":"\u003cp\u003e\u003cstrong\u003eExport Control Notice\u003c\/strong\u003e — This item may be subject to export controls as an accessory to controlled GPUs (ECCN 3A090 or related). Availability and shipping are subject to export license approval and end-user \/ end-use review. Our standard worldwide DDP shipping does not apply to this product.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp\u003eThis is a genuine \u003cb\u003eDell Nvidia P3651 A100 \/ H100 2-Slot x16 NVLink Bridge Adapter\u003c\/b\u003e (P\/N: \u003cb\u003eRWJ7Y, 0RWJ7Y, 900-53651-0100-001, 900-53651-0000-000, 699-53651-0500-201\u003c\/b\u003e). Designed for high-performance computing (HPC) and artificial intelligence (AI) workloads, this NVLink bridge is a critical component for maximizing the performance of \u003cb\u003eNvidia A100 and H100 Tensor Core GPUs\u003c\/b\u003e in compatible Dell PowerEdge servers. It establishes a high-bandwidth, low-latency direct connection between two adjacent GPUs, bypassing the PCIe bus to enable unprecedented data transfer speeds between them. This \u003cb\u003e2-way, 2-slot x16 configuration\u003c\/b\u003e ensures that the GPUs can efficiently share data and memory at peak performance, which is essential for accelerating large-scale deep learning training, scientific simulations, and other compute-intensive tasks. By facilitating faster inter-GPU communication, the NVLink bridge unlocks the full potential of your Nvidia A100\/H100 setup.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp\u003e \u003c\/p\u003e\n\n\u003ch3\u003e\n\u003cb\u003eKey Features\u003c\/b\u003e \u003c\/h3\u003e\n\n\u003cp\u003e \u003c\/p\u003e\n\n\u003cul\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eGenuine Dell Nvidia Component:\u003c\/b\u003e Ensures full compatibility and validated performance with Dell PowerEdge servers and Nvidia A100\/H100 GPUs.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eA100 \/ H100 Compatibility:\u003c\/b\u003e Specifically designed to connect Nvidia A100 and H100 Tensor Core GPUs, leveraging their advanced NVLink technology.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003e2-Way, 2-Slot x16 NVLink Configuration:\u003c\/b\u003e Connects two adjacent GPUs located in x16 PCIe slots, providing a direct, high-speed link.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\u003cb\u003eHigh-Bandwidth, Low-Latency Interconnect:\u003c\/b\u003e Enables significantly faster GPU-to-GPU communication compared to PCIe, crucial for accelerating multi-GPU workloads.\u003c\/li\u003e\n\t\u003cli\u003e\n\u003cb\u003eEnhanced GPU Performance:\u003c\/b\u003e Maximizes the performance of interconnected GPUs by allowing them to share data and access each other's memory more efficiently.\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eEssential for Scalable AI\/HPC:\u003c\/b\u003e A vital component for deep learning training, scientific simulations, and other compute-intensive applications requiring massive parallel processing.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eImproved Data Throughput:\u003c\/b\u003e Bypasses PCIe bandwidth limitations for direct GPU communication, reducing bottlenecks and improving overall system throughput.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n","brand":"Dell","offers":[{"title":"Default Title","offer_id":48889878053120,"sku":"RWJ7Y","price":221.51,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/812c5dee-6cf7-58e6-b96b-2635fd7362eb.png?v=1782418595"},{"product_id":"dell-nvidia-t600-4gb-gddr6-professional-workstation-graphics-card-4x-mini-displayport-outputs-pn-699-5g172-0510-500-900-5g172-0120-000-180-1g172-daab-c41-04fkfp-4fkfp","title":"Dell NVIDIA T600 4GB GDDR6 Professional Workstation Graphics Card. 4x Mini DisplayPort Outputs. P\/N: 699-5G172-0510-500, 900-5G172-0120-000, 180-1G172-DAAB-C41, 04FKFP, 4FKFP.","description":"\u003cp\u003eThis is a genuine \u003cb\u003eDell NVIDIA T600 4GB GDDR6 Professional Workstation Graphics Card\u003c\/b\u003e (P\/N: \u003cb\u003e4FKFP\u003c\/b\u003e). This GPU is a powerful and compact solution designed to accelerate a wide range of professional workflows in desktop workstations. Based on the \u003cb\u003eNVIDIA Turing™ architecture\u003c\/b\u003e, the T600 provides the performance and features required for multi-display setups, 2D\/3D modeling, and video editing, making it an ideal choice for professionals in a variety of industries.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp\u003e \u003c\/p\u003e\n\n\u003ch3\u003e\u003cb\u003eKey Features\u003c\/b\u003e\u003c\/h3\u003e\n\n\u003cp\u003e \u003c\/p\u003e\n\n\u003cul\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eGenuine Dell Part:\u003c\/b\u003e Ensures perfect fit, firmware compatibility, and reliable performance within Dell Precision and other compatible workstations.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003e4GB GDDR6 Memory:\u003c\/b\u003e Equipped with \u003cb\u003e4GB of high-speed GDDR6 memory\u003c\/b\u003e, providing the bandwidth needed to work with large models, complex assemblies, and high-resolution video.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eQuad-Display Output:\u003c\/b\u003e A key feature is its ability to drive \u003cb\u003efour 4K or 5K displays\u003c\/b\u003e simultaneously from its four \u003cb\u003eMini DisplayPort 1.4\u003c\/b\u003e outputs, creating an expansive visual workspace.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eTuring Architecture:\u003c\/b\u003e Built on the powerful and efficient Turing GPU architecture, featuring \u003cb\u003e640 CUDA cores\u003c\/b\u003e for significant performance boosts in professional applications.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eSingle-Slot, Low-Power Design:\u003c\/b\u003e The card's single-slot, low-profile-ready design and low \u003cb\u003e40W power consumption\u003c\/b\u003e mean it requires no external power and fits into a wide range of compact and full-size workstation chassis.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n","brand":"Dell","offers":[{"title":"Default Title","offer_id":48889910558976,"sku":"4FKFP","price":362.09,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/107ae6b2-5c97-53fa-8ccc-1260075fd156.png?v=1782419201"},{"product_id":"dell-poweredge-c4130-cpu1-to-gpu-internal-nvlink-bridge-cable-0gm46t-gm46t","title":"Dell PowerEdge C4130 CPU1 to GPU Internal NVLink Bridge Cable 0GM46T GM46T","description":"\u003cp\u003eThis is a genuine \u003cb\u003eDell Internal NVLink Bridge Cable (P\/N: GM46T \/ 0GM46T)\u003c\/b\u003e, designed specifically for the \u003cb\u003eDell PowerEdge C4130\u003c\/b\u003e high-density GPU server. This cable provides the essential high-speed data connection between the CPU1 socket on the motherboard and the GPU accelerators within the chassis. As an authentic Dell OEM part, it is engineered to the precise length and specifications required to support the high-bandwidth, low-latency NVLink protocol.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp\u003e \u003c\/p\u003e\n\n\u003ch3\u003e\u003cb\u003eKey Features\u003c\/b\u003e\u003c\/h3\u003e\n\n\u003cp\u003e \u003c\/p\u003e\n\n\u003cul\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eGenuine Dell Part:\u003c\/b\u003e Ensures perfect fit, function, and signal integrity within the unique layout of the PowerEdge C4130 server.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eNVIDIA NVLink Protocol:\u003c\/b\u003e Enables the high-speed NVLink interconnect, which allows for significantly faster and more efficient communication between the CPU and GPU than a standard PCIe connection.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eDesigned for C4130:\u003c\/b\u003e This is the specific cable for connecting GPU accelerators linked to \u003cb\u003eCPU1\u003c\/b\u003e.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eCritical Component:\u003c\/b\u003e Required for enabling GPU acceleration in specific configurations of the C4130 server, making it an essential part for repairs or upgrades.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n","brand":"Dell","offers":[{"title":"Default Title","offer_id":48889942376704,"sku":"GM46T","price":59.63,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/7c4eccab-8481-512f-82c5-3c7ca92dd6a6.png?v=1782419824"},{"product_id":"dell-nvidia-a2-ampere-16gb-gddr6-graphics-card-pg179-0mg5jx-mg5jx","title":"Dell Nvidia A2 Ampere 16GB GDDR6 Graphics Card PG179 0MG5JX MG5JX","description":"\u003ch3 data-end=\"274\" data-start=\"163\"\u003e\u003cstrong data-end=\"272\" data-start=\"167\"\u003eDell NVIDIA A2 Tensor Core GPU Accelerator (MG5JX \/ 0MG5JX \/ 900-2G179-0120-101 \/ 699-2G179-0220-201)\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cp data-end=\"695\" data-start=\"276\"\u003eBoost your AI and edge computing performance with the \u003cstrong data-end=\"376\" data-start=\"330\"\u003eDell NVIDIA A2 Tensor Core GPU Accelerator\u003c\/strong\u003e, part numbers \u003cstrong data-end=\"400\" data-start=\"391\"\u003eMG5JX\u003c\/strong\u003e, \u003cstrong data-end=\"412\" data-start=\"402\"\u003e0MG5JX\u003c\/strong\u003e, \u003cstrong data-end=\"436\" data-start=\"414\"\u003e900-2G179-0120-101\u003c\/strong\u003e, and \u003cstrong data-end=\"464\" data-start=\"442\"\u003e699-2G179-0220-201\u003c\/strong\u003e. This compact, energy-efficient professional GPU is built on \u003cstrong data-end=\"558\" data-start=\"526\"\u003eNVIDIA’s Ampere architecture\u003c\/strong\u003e, offering powerful acceleration for \u003cstrong data-end=\"613\" data-start=\"595\"\u003eAI inferencing\u003c\/strong\u003e, \u003cstrong data-end=\"655\" data-start=\"615\"\u003evirtual desktop infrastructure (VDI)\u003c\/strong\u003e, and \u003cstrong data-end=\"692\" data-start=\"661\"\u003eedge computing applications\u003c\/strong\u003e.\u003c\/p\u003e\n\n\u003ch4 data-end=\"735\" data-start=\"697\"\u003e\u003cstrong data-end=\"735\" data-start=\"702\"\u003eKey Features \u0026amp; Specifications\u003c\/strong\u003e\u003c\/h4\u003e\n\n\u003cul data-end=\"980\" data-start=\"736\"\u003e\n\t\u003cli data-end=\"771\" data-start=\"736\"\u003e\n\t\u003cp data-end=\"771\" data-start=\"738\"\u003e\u003cstrong data-end=\"755\" data-start=\"738\"\u003eArchitecture:\u003c\/strong\u003e NVIDIA Ampere\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"797\" data-start=\"772\"\u003e\n\t\u003cp data-end=\"797\" data-start=\"774\"\u003e\u003cstrong data-end=\"789\" data-start=\"774\"\u003eCUDA Cores:\u003c\/strong\u003e 1,280\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"832\" data-start=\"798\"\u003e\n\t\u003cp data-end=\"832\" data-start=\"800\"\u003e\u003cstrong data-end=\"817\" data-start=\"800\"\u003eTensor Cores:\u003c\/strong\u003e 40 (3rd Gen)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"863\" data-start=\"833\"\u003e\n\t\u003cp data-end=\"863\" data-start=\"835\"\u003e\u003cstrong data-end=\"848\" data-start=\"835\"\u003eRT Cores:\u003c\/strong\u003e 10 (2nd Gen)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"911\" data-start=\"864\"\u003e\n\t\u003cp data-end=\"911\" data-start=\"866\"\u003e\u003cstrong data-end=\"881\" data-start=\"866\"\u003eGPU Memory:\u003c\/strong\u003e 16GB GDDR6 with ECC support\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"945\" data-start=\"912\"\u003e\n\t\u003cp data-end=\"945\" data-start=\"914\"\u003e\u003cstrong data-end=\"935\" data-start=\"914\"\u003eMemory Interface:\u003c\/strong\u003e 128-bit\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"980\" data-start=\"946\"\u003e\n\t\u003cp data-end=\"980\" data-start=\"948\"\u003e\u003cstrong data-end=\"969\" data-start=\"948\"\u003eMemory Bandwidth:\u003c\/strong\u003e 200 GB\/s\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch4 data-end=\"1002\" data-start=\"982\"\u003e\u003cstrong data-end=\"1002\" data-start=\"987\"\u003ePerformance\u003c\/strong\u003e\u003c\/h4\u003e\n\n\u003cul data-end=\"1298\" data-start=\"1003\"\u003e\n\t\u003cli data-end=\"1044\" data-start=\"1003\"\u003e\n\t\u003cp data-end=\"1044\" data-start=\"1005\"\u003e\u003cstrong data-end=\"1031\" data-start=\"1005\"\u003ePeak FP32 Performance:\u003c\/strong\u003e 4.5 TFLOPS\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1112\" data-start=\"1045\"\u003e\n\t\u003cp data-end=\"1112\" data-start=\"1047\"\u003e\u003cstrong data-end=\"1075\" data-start=\"1047\"\u003eTF32 Tensor Performance:\u003c\/strong\u003e 9 TFLOPS (18 TFLOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1181\" data-start=\"1113\"\u003e\n\t\u003cp data-end=\"1181\" data-start=\"1115\"\u003e\u003cstrong data-end=\"1143\" data-start=\"1115\"\u003eFP16 Tensor Performance:\u003c\/strong\u003e 18 TFLOPS (36 TFLOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1239\" data-start=\"1182\"\u003e\n\t\u003cp data-end=\"1239\" data-start=\"1184\"\u003e\u003cstrong data-end=\"1205\" data-start=\"1184\"\u003eINT8 Performance:\u003c\/strong\u003e 36 TOPS (72 TOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1298\" data-start=\"1240\"\u003e\n\t\u003cp data-end=\"1298\" data-start=\"1242\"\u003e\u003cstrong data-end=\"1263\" data-start=\"1242\"\u003eINT4 Performance:\u003c\/strong\u003e 72 TOPS (144 TOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch4 data-end=\"1333\" data-start=\"1300\"\u003e\u003cstrong data-end=\"1333\" data-start=\"1305\"\u003ePhysical \u0026amp; Power Details\u003c\/strong\u003e\u003c\/h4\u003e\n\n\u003cul data-end=\"1747\" data-start=\"1334\"\u003e\n\t\u003cli data-end=\"1424\" data-start=\"1334\"\u003e\n\t\u003cp data-end=\"1424\" data-start=\"1336\"\u003e\u003cstrong data-end=\"1352\" data-start=\"1336\"\u003eForm Factor:\u003c\/strong\u003e Single-slot, low-profile PCIe (configurable with full-height bracket)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1455\" data-start=\"1425\"\u003e\n\t\u003cp data-end=\"1455\" data-start=\"1427\"\u003e\u003cstrong data-end=\"1441\" data-start=\"1427\"\u003eInterface:\u003c\/strong\u003e PCIe 4.0 x8\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1495\" data-start=\"1456\"\u003e\n\t\u003cp data-end=\"1495\" data-start=\"1458\"\u003e\u003cstrong data-end=\"1485\" data-start=\"1458\"\u003eInterconnect Bandwidth:\u003c\/strong\u003e 32 GB\/s\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1557\" data-start=\"1496\"\u003e\n\t\u003cp data-end=\"1557\" data-start=\"1498\"\u003e\u003cstrong data-end=\"1510\" data-start=\"1498\"\u003eCooling:\u003c\/strong\u003e Passive thermal design (uses system airflow)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1617\" data-start=\"1558\"\u003e\n\t\u003cp data-end=\"1617\" data-start=\"1560\"\u003e\u003cstrong data-end=\"1582\" data-start=\"1560\"\u003ePower Consumption:\u003c\/strong\u003e Configurable TDP from 40W to 60W\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1690\" data-start=\"1618\"\u003e\n\t\u003cp data-end=\"1690\" data-start=\"1620\"\u003e\u003cstrong data-end=\"1640\" data-start=\"1620\"\u003ePower Connector:\u003c\/strong\u003e None required — draws directly from motherboard\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1747\" data-start=\"1691\"\u003e\n\t\u003cp data-end=\"1747\" data-start=\"1693\"\u003e\u003cstrong data-end=\"1713\" data-start=\"1693\"\u003eDisplay Outputs:\u003c\/strong\u003e None (compute-only accelerator)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch4 data-end=\"1791\" data-start=\"1749\"\u003e\u003cstrong data-end=\"1791\" data-start=\"1754\"\u003eWhy Choose the Dell NVIDIA A2 GPU\u003c\/strong\u003e\u003c\/h4\u003e\n\n\u003cp data-end=\"2124\" data-start=\"1792\"\u003eThe \u003cstrong data-end=\"1831\" data-start=\"1796\"\u003eDell NVIDIA A2 (MG5JX \/ 0MG5JX)\u003c\/strong\u003e is purpose-built for \u003cstrong data-end=\"1896\" data-start=\"1853\"\u003elow-power, high-efficiency AI inference\u003c\/strong\u003e in compact servers and edge systems. Its superior performance-per-watt ratio makes it ideal for businesses looking to accelerate \u003cstrong data-end=\"2039\" data-start=\"2026\"\u003eAI models\u003c\/strong\u003e, \u003cstrong data-end=\"2071\" data-start=\"2041\"\u003emachine learning workloads\u003c\/strong\u003e, and \u003cstrong data-end=\"2097\" data-start=\"2077\"\u003eVDI environments\u003c\/strong\u003e with minimal energy use.\u003c\/p\u003e\n","brand":"Dell","offers":[{"title":"Default Title","offer_id":48889958793472,"sku":"MG5JX","price":1118.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/9ce3ed11-59ef-5ea7-b1fe-2fdd65ee5dbb.png?v=1782420238"},{"product_id":"dell-nvidia-rtx-a4000-16gb-gddr6-pcie-40-x16-graphic-card-pg190-0hgp0f-hgp0f","title":"Dell Nvidia RTX A4000 16GB GDDR6 PCIe 4.0 x16 Graphic Card PG190 0HGP0F HGP0F","description":"\u003cdiv class=\"alo-desc\"\u003e\n\u003cp\u003eDell Nvidia RTX A4000 16GB GDDR6 PCIe 4.0 x16 Graphic Card PG190 0HGP0F HGP0F is a genuine Dell part in our GPUs range — data-center and workstation GPUs, AI accelerators and GPU cables\/brackets. Reference part numbers: A4000, GDDR6, PG190.\u003c\/p\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable class=\"alo-specs\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eBrand\u003c\/th\u003e\n\u003ctd\u003eDell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePart number(s)\u003c\/th\u003e\n\u003ctd\u003eA4000, GDDR6, PG190, 0HGP0F\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCategory\u003c\/th\u003e\n\u003ctd\u003eGPUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ch2\u003eOrdering from Alo Tech\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eWorldwide DDP shipping — duties, taxes and customs clearance included in the quote.\u003c\/li\u003e\n\u003cli\u003eB2B pricing with a formal quote within 24 hours; purchase orders accepted.\u003c\/li\u003e\n\u003cli\u003eVolume and project pricing available for Dell deployments.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"alo-links\"\u003eBrowse: \u003ca href=\"\/collections\/dell-gpus-accelerators\"\u003eDell GPUs\u003c\/a\u003e · \u003ca href=\"\/collections\/gpus-accelerators\"\u003eAll GPUs\u003c\/a\u003e · \u003ca href=\"\/collections\/dell-parts\"\u003eAll Dell parts\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":48889958859008,"sku":"HGP0F","price":1038.01,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/3ea88f60-943c-502b-8e06-e09fdeaec875.png?v=1782420244"},{"product_id":"dell-nvidia-quadro-p620-2gb-gddr5-pcie-gpu-graphics-card-073xt6-73xt6","title":"Dell Nvidia Quadro P620 2GB GDDR5 PCIe GPU Graphics Card 073XT6 73XT6","description":"\u003cp\u003eDell NVIDIA Quadro P620 2GB GDDR5 PCIe GPU Graphics Card (073XT6, 73XT6). Professional graphics accelerator for workstations and visualization applications.\u003c\/p\u003e\u003ch3\u003eSpecifications\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePart Number\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e073XT6, 73XT6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBrand\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eType\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGraphics Card\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU Model\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Quadro P620\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2GB GDDR5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eAvailable new and refurbished — contact us for current stock and condition options.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"\/pages\/request-for-quote\"\u003e\u003cstrong\u003eRequest a Quote — Bulk \/ DDP Pricing\u003c\/strong\u003e\u003c\/a\u003e\u003c\/p\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":48889959579904,"sku":"73XT6","price":85.19,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/6154164a-6eca-5b4f-8497-e3ccf07a6359.png?v=1782420251"},{"product_id":"dell-nvidia-tesla-t4-turing-16gb-gddr6-2560-cuda-cores-pcie-x16-gpu-0hckjm-hckjm","title":"Dell Nvidia Tesla T4 Turing 16GB GDDR6 2560 Cuda Cores PCIe x16 GPU 0HCKJM HCKJM","description":"\u003cp\u003eDell Nvidia Tesla T4 Turing 16GB GDDR6 2560 Cuda Cores PCIe x16 GPU accelerator.\u003c\/p\u003e\u003ch3\u003eSpecifications\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e16GB GDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCUDA Cores\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2560\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInterface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePCIe x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eArchitecture\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTuring\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eAvailable new and refurbished — contact us for current stock and condition options.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"\/pages\/request-for-quote\"\u003e\u003cstrong\u003eRequest a Quote — Bulk \/ DDP Pricing\u003c\/strong\u003e\u003c\/a\u003e\u003c\/p\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":48889974751488,"sku":"HCKJM","price":1145.93,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/fa168a78-03c4-5014-bba8-a70a03f3a07c.png?v=1782420566"},{"product_id":"dell-intel-flex-140-12gb-gddr6-16c-75w-pcie-g4-x8-gpu-aicatsm3-0dhg15-dhg15","title":"Dell Intel Flex 140 12GB GDDR6 16C 75W PCIe G4 x8 GPU AICATSM3 0DHG15 DHG15","description":"\u003cdiv class=\"alo-orig\"\u003e\u003cp\u003eMore Specification \u003ca href=\"https:\/\/www.intel.com\/content\/www\/us\/en\/products\/sku\/230020\/intel-data-center-gpu-flex-140\/specifications.html\" onclick=\"window.open(this.href, '', 'resizable=yes,status=no,location=no,toolbar=no,menubar=no,fullscreen=no,scrollbars=no,dependent=no'); return false;\"\u003eClick Here\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cdiv class=\"alo-desc\"\u003e\n\u003cp\u003eDell Intel Flex 140 12GB GDDR6 16C 75W PCIe G4 x8 GPU AICATSM3 0DHG15 DHG15 is a genuine Dell part in our GPUs range — data-center and workstation GPUs, AI accelerators and GPU cables\/brackets. Reference part numbers: GDDR6, AICATSM3, 0DHG15.\u003c\/p\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable class=\"alo-specs\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eBrand\u003c\/th\u003e\n\u003ctd\u003eDell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePart number(s)\u003c\/th\u003e\n\u003ctd\u003eGDDR6, AICATSM3, 0DHG15, DHG15\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCategory\u003c\/th\u003e\n\u003ctd\u003eGPUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ch2\u003eOrdering from Alo Tech\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eWorldwide DDP shipping — duties, taxes and customs clearance included in the quote.\u003c\/li\u003e\n\u003cli\u003eB2B pricing with a formal quote within 24 hours; purchase orders accepted.\u003c\/li\u003e\n\u003cli\u003eVolume and project pricing available for Dell deployments.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"alo-links\"\u003eBrowse: \u003ca href=\"\/collections\/dell-gpus-accelerators\"\u003eDell GPUs\u003c\/a\u003e · \u003ca href=\"\/collections\/gpus-accelerators\"\u003eAll GPUs\u003c\/a\u003e · \u003ca href=\"\/collections\/dell-parts\"\u003eAll Dell parts\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":48889975013632,"sku":"DHG15","price":2832.89,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/64f5ea28-ea2b-54dd-8feb-055171bec8e3.png?v=1782420562"},{"product_id":"dell-nvidia-a100-40gb-hbm2-pcie-gen4-x16-model-p1001b-cuda-core-gpu-699-21001-0200-400-900-21001-0100-030","title":"Dell NVIDIA A100 40GB HBM2 PCIe Gen4 x16 Model P1001B CUDA Core GPU 699-21001-0200-400 900-21001-0100-030","description":"\u003cp\u003e\u003cstrong\u003eExport Control Notice — ECCN 3A090.\u003c\/strong\u003e Export-controlled item. Availability and shipping are subject to export license approval and end-user \/ end-use review. Our standard worldwide DDP shipping does not apply to this product. Please contact us for a quote.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp\u003e\u003cstrong\u003eThe Most Powerful Compute Platform for Every Workload\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp\u003eThe NVIDIA A100 Tensor Core GPU is designed to deliver exceptional acceleration across various scales, powering the highest-performing elastic data centers for AI, data analytics, and high-performance computing (HPC) applications. Serving as the core of the NVIDIA data center platform, the A100 offers up to 20 times the performance of the previous NVIDIA Volta™ generation. It can efficiently scale or be divided into seven separate GPU instances using Multi-Instance GPU (MIG) technology, providing a flexible platform that enables data centers to adapt to changing workload requirements.\u003c\/p\u003e\n\n\u003cp\u003eThe NVIDIA A100 Tensor Core technology supports a wide range of mathematical precisions, offering a single accelerator for any workload. The newest A100 80GB model doubles GPU memory and introduces the world's fastest memory bandwidth at 2 terabytes per second (TB\/s), accelerating the processing time for the largest models and datasets.\u003c\/p\u003e\n\n\u003cp\u003eThe A100 is part of NVIDIA’s comprehensive data center solution, which includes components across hardware, networking, software, libraries, and optimized AI models and applications from the NVIDIA NGC™ catalog. As the most powerful end-to-end AI and HPC platform for data centers, it allows researchers to achieve real-world results and deploy solutions at scale.\u003c\/p\u003e\n\n\u003cp\u003eMore Info: \u003ca href=\"https:\/\/www.nvidia.com\/content\/dam\/en-zz\/Solutions\/Data-Center\/a100\/pdf\/nvidia-a100-datasheet-us-nvidia-1758950-r4-web.pdf\" onclick=\"window.open(this.href, '', 'resizable=yes,status=no,location=no,toolbar=no,menubar=no,fullscreen=no,scrollbars=no,dependent=no'); return false;\"\u003eClick here\u003c\/a\u003e\u003c\/p\u003e\n","brand":"Dell","offers":[{"title":"Dell NVIDIA A100 40GB HBM2 PCIe Gen4 x16 Model P1001B CUDA Core GPU Accelerator Graphics Card","offer_id":48889978913024,"sku":"900-21001-0100-030","price":17536.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/da2790fd-0db9-5851-bf7c-1c24d881d30f_75fb3e78-bf95-4f9b-abb2-6cb881b3eac1.png?v=1782420654"},{"product_id":"dell-nvidia-a100-40gb-hbm2-pcie-g4-x16-model-p1001b-cuda-core-gpu-0rh1x7-rh1x7","title":"Dell NVIDIA A100 40GB HBM2 PCIe G4 x16 Model P1001B CUDA Core GPU 0RH1X7 RH1X7","description":"\u003cp\u003e\u003cstrong\u003eExport Control Notice — ECCN 3A090.\u003c\/strong\u003e Export-controlled item. Availability and shipping are subject to export license approval and end-user \/ end-use review. Our standard worldwide DDP shipping does not apply to this product. Please contact us for a quote.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp\u003e\u003cstrong\u003eThe Most Powerful Compute Platform for Every Workload\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp\u003eThe NVIDIA A100 Tensor Core GPU is designed to deliver exceptional acceleration across various scales, powering the highest-performing elastic data centers for AI, data analytics, and high-performance computing (HPC) applications. Serving as the core of the NVIDIA data center platform, the A100 offers up to 20 times the performance of the previous NVIDIA Volta™ generation. It can efficiently scale or be divided into seven separate GPU instances using Multi-Instance GPU (MIG) technology, providing a flexible platform that enables data centers to adapt to changing workload requirements.\u003c\/p\u003e\n\n\u003cp\u003eThe NVIDIA A100 Tensor Core technology supports a wide range of mathematical precisions, offering a single accelerator for any workload. The newest A100 80GB model doubles GPU memory and introduces the world's fastest memory bandwidth at 2 terabytes per second (TB\/s), accelerating the processing time for the largest models and datasets.\u003c\/p\u003e\n\n\u003cp\u003eThe A100 is part of NVIDIA’s comprehensive data center solution, which includes components across hardware, networking, software, libraries, and optimized AI models and applications from the NVIDIA NGC™ catalog. As the most powerful end-to-end AI and HPC platform for data centers, it allows researchers to achieve real-world results and deploy solutions at scale.\u003c\/p\u003e\n\n\u003cp\u003eMore Info: \u003ca href=\"https:\/\/www.nvidia.com\/content\/dam\/en-zz\/Solutions\/Data-Center\/a100\/pdf\/nvidia-a100-datasheet-us-nvidia-1758950-r4-web.pdf\" onclick=\"window.open(this.href, '', 'resizable=yes,status=no,location=no,toolbar=no,menubar=no,fullscreen=no,scrollbars=no,dependent=no'); return false;\"\u003eClick here\u003c\/a\u003e\u003c\/p\u003e\n","brand":"Dell","offers":[{"title":"Default Title","offer_id":48889979011328,"sku":"RH1X7","price":17536.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/da2790fd-0db9-5851-bf7c-1c24d881d30f.png?v=1782420656"},{"product_id":"dell-nvidia-tesla-p40-pascal-gpu-accelerator-24gb-gddr5-graphics-card-km3c2","title":"Dell Nvidia Tesla P40 Pascal GPU Accelerator 24GB GDDR5 Graphics Card KM3C2","description":"\u003cp\u003eDell Nvidia Tesla P40 Pascal GPU Accelerator — 24GB GDDR5 graphics card for HPC and AI applications. Professional GPU accelerator for compute-intensive workloads.\u003c\/p\u003e\u003ch3\u003eSpecifications\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBrand\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eType\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGraphics Card\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModel\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTesla P40\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e24GB GDDR5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eArchitecture\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePascal\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eAvailable new and refurbished — contact us for current stock and condition options.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"\/pages\/request-for-quote\"\u003e\u003cstrong\u003eRequest a Quote — Bulk \/ DDP Pricing\u003c\/strong\u003e\u003c\/a\u003e\u003c\/p\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":48889982255360,"sku":"KM3C2","price":471.43,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/1a1a27d8-7d2f-5829-b83e-11f9ba41d690_efa95a69-d667-4e2a-98fc-fcaec8ddf4f9.png?v=1782420696"},{"product_id":"dell-nvidia-tesla-v100-16gb-hbm2-gpu-graphics-card-pci-e-30-x16-vfj45","title":"Dell Nvidia Tesla V100 16GB HBM2 GPU Graphics Card PCI-E 3.0 X16 VFJ45","description":"\u003cp\u003eDell Nvidia Tesla V100 16GB HBM2 GPU Graphics Card — PCIe 3.0 X16, part number VFJ45. Professional GPU accelerator for HPC and deep learning applications.\u003c\/p\u003e\u003ch3\u003eSpecifications\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePart Number\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eVFJ45\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBrand\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eType\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGraphics Card\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModel\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTesla V100\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e16GB HBM2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInterface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePCIe 3.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eAvailable new and refurbished — contact us for current stock and condition options.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"\/pages\/request-for-quote\"\u003e\u003cstrong\u003eRequest a Quote — Bulk \/ DDP Pricing\u003c\/strong\u003e\u003c\/a\u003e\u003c\/p\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":48889982451968,"sku":"VFJ45","price":1046.53,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/d40bdd4e-ec79-5b4c-9729-bea28370bd75.png?v=1782420710"},{"product_id":"dell-poweredge-c4130-nvlink-thermal-module-sxm2-gpu-cooling-heatsink-0jnmfw","title":"Dell PowerEdge C4130 NVLINK Thermal Module SXM2-GPU Cooling Heatsink (0JNMFW)","description":"\u003cp\u003eDell PowerEdge C4130 NVLINK thermal module SXM2-GPU cooling heatsink. Part number: 0JNMFW. GPU cooling module for dual-GPU configuration in HPC systems.\u003c\/p\u003e\u003ch3\u003eSpecifications\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePart Number\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e0JNMFW\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBrand\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eType\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eThermal Module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCompatibility\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePowerEdge C4130 NVLINK\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eAvailable new and refurbished — contact us for current stock and condition options.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"\/pages\/request-for-quote\"\u003e\u003cstrong\u003eRequest a Quote — Bulk \/ DDP Pricing\u003c\/strong\u003e\u003c\/a\u003e\u003c\/p\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":48890002276608,"sku":"0JNMFW","price":116.44,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/4e49f736-0219-577f-8668-a79dd3e48c27.png?v=1782421160"},{"product_id":"dell-nvidia-quadro-rtx-6000-turing-gpu-24gb-gdrr6-graphics-card-0gh07g","title":"Dell Nvidia Quadro RTX 6000 Turing GPU 24GB GDRR6 Graphics Card (0GH07G)","description":"\u003cp\u003eDell NVIDIA Quadro RTX 6000 Turing GPU Graphics Card (Part Number: 0GH07G). Professional-grade graphics accelerator with 24GB GDDR6 memory. 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Professional-grade GPU for advanced visualization and CAD applications.\u003c\/p\u003e\u003ch3\u003eSpecifications\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBrand\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePart Number\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e699-5G150-0510-508\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eType\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGPU Graphics Card\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e24GB GDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInterface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePCIe Turing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eAvailable new and refurbished — contact us for current stock and condition options.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"\/pages\/request-for-quote\"\u003e\u003cstrong\u003eRequest a Quote — Bulk \/ DDP Pricing\u003c\/strong\u003e\u003c\/a\u003e\u003c\/p\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":48890006143232,"sku":"699-5G150-0510-508","price":5513.86,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/cfc60416-00df-57e8-9ca5-64bdfe85bb4e.png?v=1782421265"},{"product_id":"dell-quadro-rtx-6000-turing-gpu-24gb-4608-cuda-384-bit-gddr6-pcie-graphics-card-0m1t16","title":"DELL Quadro RTX 6000 Turing GPU 24GB 4608 CUDA 384-bit GDDR6 PCIe Graphics Card (0M1T16)","description":"\u003cp\u003eDell NVIDIA Quadro RTX 6000 Turing GPU Graphics Card (Part Number: 0M1T16). 24GB GDDR6 professional graphics card with 4608 CUDA cores. 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PCIe graphics solution for professional workstations.\u003c\/p\u003e\u003ch3\u003eSpecifications\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBrand\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePart Number\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e699-5G150-0510-506\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eType\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGPU Graphics Card\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e24GB GDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCUDA Cores\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4608\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eAvailable new and refurbished — contact us for current stock and condition options.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"\/pages\/request-for-quote\"\u003e\u003cstrong\u003eRequest a Quote — Bulk \/ DDP Pricing\u003c\/strong\u003e\u003c\/a\u003e\u003c\/p\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":48890006274304,"sku":"699-5G150-0510-506","price":5513.86,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/e1be548f-8dee-56d8-b7ba-909495d79cac.png?v=1782421280"},{"product_id":"dell-quadro-rtx-6000-turing-gpu-24gb-4608-cuda-384-bit-gddr6-pcie-graphics-card-900-5g150-0150-000","title":"DELL Quadro RTX 6000 Turing GPU 24GB 4608 CUDA 384-bit GDDR6 PCIe Graphics Card (900-5G150-0150-000)","description":"\u003cp\u003eDell NVIDIA Quadro RTX 6000 Turing GPU Graphics Card (Part Number: 900-5G150-0150-000). 24GB GDDR6 GPU with 4608 CUDA cores. 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PCIe graphics solution for workstation visualization and design applications.\u003c\/p\u003e\u003ch3\u003eSpecifications\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBrand\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAMD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePart Number\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eWX 3100\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eType\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eProfessional GPU Graphics Card\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4GB GDDR5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eAvailable new and refurbished — contact us for current stock and condition options.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"\/pages\/request-for-quote\"\u003e\u003cstrong\u003eRequest a Quote — Bulk \/ DDP Pricing\u003c\/strong\u003e\u003c\/a\u003e\u003c\/p\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":48890009420032,"sku":"WX 3100","price":66.74,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/41943440-c5bd-5f68-bd15-696356a159f6.png?v=1782421383"},{"product_id":"dell-amd-radeon-pro-wx-2100-2gb-gddr5-video-graphics-card-radeon-pro-wx-2100","title":"Dell AMD Radeon Pro WX 2100 2GB GDDR5 Video Graphics Card (RADEON PRO WX 2100)","description":"\u003cp\u003eDell AMD Radeon Pro WX 2100 Graphics Card 2GB (Part Number: RADEON PRO WX 2100). 2GB GDDR5 professional GPU for entry-level workstation graphics. 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Title","offer_id":48890015645952,"sku":"K4200","price":106.5,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/d0ac3509-a799-51de-a59a-831c438cf94b_8fec011a-addd-4705-a18a-12353f011816.jpg?v=1782421539"},{"product_id":"dell-amd-firepro-w5100-4gb-quard-port-graphics-card-w5100","title":"Dell AMD FirePro W5100 4GB Quard Port Graphics Card (W5100)","description":"\u003cp\u003eDell AMD FirePro W5100 4GB Graphics Card (Part Number: W5100). 4GB GDDR5 professional GPU with quad display port output. PCIe graphics card for professional visualization.\u003c\/p\u003e\u003ch3\u003eSpecifications\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBrand\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAMD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePart Number\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eW5100\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eType\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eProfessional GPU Graphics Card\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4GB GDDR5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eAvailable new and refurbished — contact us for current stock and condition options.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"\/pages\/request-for-quote\"\u003e\u003cstrong\u003eRequest a Quote — Bulk \/ DDP Pricing\u003c\/strong\u003e\u003c\/a\u003e\u003c\/p\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":48890015940864,"sku":"W5100","price":48.27,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/07f23553-3ea2-5bf1-a12e-48824e1fe03f.jpg?v=1782421538"},{"product_id":"dell-amd-firepro-w5100-4gb-quard-port-graphics-card-amd-firepro-w5100-4gb","title":"Dell AMD FirePro W5100 4GB Quard Port Graphics Card (AMD FIREPRO W5100 4GB)","description":"\u003cp\u003eDell AMD FirePro W5100 4GB Graphics Card (Part Number: AMD FIREPRO W5100 4GB). 4GB GDDR5 professional GPU with multiple display outputs. High-end graphics solution for professional workstations.\u003c\/p\u003e\u003ch3\u003eSpecifications\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBrand\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAMD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePart Number\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAMD FIREPRO W5100 4GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eType\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eProfessional GPU Graphics Card\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4GB GDDR5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eAvailable new and refurbished — contact us for current stock and condition options.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"\/pages\/request-for-quote\"\u003e\u003cstrong\u003eRequest a Quote — Bulk \/ DDP Pricing\u003c\/strong\u003e\u003c\/a\u003e\u003c\/p\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":48890016039168,"sku":"AMD FIREPRO W5100 4GB","price":48.27,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/d3d3f9a7-1340-507c-b6c6-914b135b9a57.jpg?v=1782421539"},{"product_id":"dell-nvidia-quadro-2000-1gb-gddr5-pci-e-dvi-dual-display-video-card-02pnxf","title":"DELL NVIDIA QUADRO 2000 1GB GDDR5 PCI-E DVI DUAL DISPLAY VIDEO CARD (02PNXF)","description":"\u003cp\u003eOverview: Design, iterate and deliver higher quality results in less time with the Quadro 2000 mid-range professional graphics solution. Delivering the industryâ??s best-in-class performance across leading CAD and DCC applications, Quadro 2000 provides an affordable, high performance experience that can transform how engineers, designers and animators work every day.\u003cbr\u003e\nCUDA Core: 192\u003cbr\u003e\nOutputs: 1 Dual Link DVI-I, 2 Displayports\u003cbr\u003e\nProduct Manual: http:\/\/www.nvidia.com\/object\/product-quadro-2000-us.html\u003c\/p\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":48890016465152,"sku":"02PNXF","price":97.98,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/07406932-b921-53ad-a8be-0e2cfb9f9146.jpg?v=1782421553"},{"product_id":"dellamd-radeon-pro-w6800-32gb-gddr6-graphics-card","title":"DELL\/AMD Radeon PRO W6800 32GB GDDR6 Graphics Card","description":"\u003cp\u003eThe DELL\/AMD Radeon PRO W6800 is a 32GB GDDR6 professional graphics card delivering superior performance for CAD, visualization, and AI workloads. This workstation GPU provides native PCIe connectivity for demanding content creation and scientific applications.\u003c\/p\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eBrand\u003c\/th\u003e\n\u003ctd\u003eDell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCapacity\u003c\/th\u003e\n\u003ctd\u003e32GB GDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eType\u003c\/th\u003e\n\u003ctd\u003eAMD Radeon PRO W6800 Graphics Card\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eAvailable new and refurbished — contact us for current stock and condition options.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"\/pages\/request-for-quote\"\u003eRequest a Quote — Bulk \/ DDP Pricing\u003c\/a\u003e\u003c\/p\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":48890023379200,"sku":"53J93","price":1334.79,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/ae4fbf93-f4c3-5a2f-b405-70b348ff68bc_65749383-eabf-4cc3-b11a-f83033f9877e.png?v=1782421695"},{"product_id":"dell-nvidia-rtx-a2000-6gb-graphics-card-pci-e-40-x16-mini-ports","title":"Dell NVIDIA RTX A2000 6GB Graphics Card PCI-E 4.0 X16 Mini Ports","description":"\u003cp\u003eThe Dell NVIDIA RTX A2000 is a 6GB professional graphics card with PCIe 4.0 x16 support and mini DisplayPort outputs. This workstation GPU delivers superior performance for design, visualization, and AI-accelerated applications.\u003c\/p\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eBrand\u003c\/th\u003e\n\u003ctd\u003eDell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCapacity\u003c\/th\u003e\n\u003ctd\u003e6GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eType\u003c\/th\u003e\n\u003ctd\u003eNVIDIA RTX A2000 Graphics Card\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eForm Factor\u003c\/th\u003e\n\u003ctd\u003ePCIe 4.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eAvailable new and refurbished — contact us for current stock and condition options.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"\/pages\/request-for-quote\"\u003eRequest a Quote — Bulk \/ DDP Pricing\u003c\/a\u003e\u003c\/p\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":48890025181440,"sku":"W4KXH","price":404.69,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/57fa6c36-7255-55bf-9d6e-636ce3ab7b59.png?v=1782421705"},{"product_id":"dell-nvidia-tesla-m10-32gb-graphics-card-gpu-accelerator-0h56h0","title":"Dell NVIDIA Tesla M10 32GB Graphics Card \/ GPU Accelerator 0H56H0","description":"\u003cdiv class=\"alo-orig\"\u003e\u003cp\u003eMore Specs \u003ca href=\"https:\/\/gzhls.at\/blob\/ldb\/6\/1\/7\/e\/887e365d393dcb003e92e90c6a0c8d73671b.pdf\" onclick=\"window.open(this.href, '', 'resizable=yes,status=no,location=no,toolbar=no,menubar=no,fullscreen=no,scrollbars=no,dependent=no'); return false;\"\u003eClick Here\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cdiv class=\"alo-desc\"\u003e\n\u003cp\u003eDell NVIDIA Tesla M10 32GB Graphics Card \/ GPU Accelerator 0H56H0 is a genuine Dell part in our GPUs range — data-center and workstation GPUs, AI accelerators and GPU cables\/brackets. Reference part number: 0H56H0.\u003c\/p\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable class=\"alo-specs\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eBrand\u003c\/th\u003e\n\u003ctd\u003eDell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePart number(s)\u003c\/th\u003e\n\u003ctd\u003e0H56H0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCategory\u003c\/th\u003e\n\u003ctd\u003eGPUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ch2\u003eOrdering from Alo Tech\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eWorldwide DDP shipping — duties, taxes and customs clearance included in the quote.\u003c\/li\u003e\n\u003cli\u003eB2B pricing with a formal quote within 24 hours; purchase orders accepted.\u003c\/li\u003e\n\u003cli\u003eVolume and project pricing available for Dell deployments.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"alo-links\"\u003eBrowse: \u003ca href=\"\/collections\/dell-gpus-accelerators\"\u003eDell GPUs\u003c\/a\u003e · \u003ca href=\"\/collections\/gpus-accelerators\"\u003eAll GPUs\u003c\/a\u003e · \u003ca href=\"\/collections\/dell-parts\"\u003eAll Dell parts\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":48890155598080,"sku":"0H56H0","price":120.69,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/6b6c8065-1846-5872-afc6-b1011b636165.png?v=1782423586"},{"product_id":"dell-nvidia-tesla-m10-32gb-graphics-card-gpu-accelerator-h56h0","title":"Dell NVIDIA Tesla M10 32GB Graphics Card \/ GPU Accelerator H56H0","description":"\u003cdiv class=\"alo-orig\"\u003e\u003cp\u003eMore Specs \u003ca href=\"https:\/\/gzhls.at\/blob\/ldb\/6\/1\/7\/e\/887e365d393dcb003e92e90c6a0c8d73671b.pdf\" onclick=\"window.open(this.href, '', 'resizable=yes,status=no,location=no,toolbar=no,menubar=no,fullscreen=no,scrollbars=no,dependent=no'); return false;\"\u003eClick here\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cdiv class=\"alo-desc\"\u003e\n\u003cp\u003eDell NVIDIA Tesla M10 32GB Graphics Card \/ GPU Accelerator H56H0 is a genuine Dell part in our GPUs range — data-center and workstation GPUs, AI accelerators and GPU cables\/brackets. Reference part number: H56H0.\u003c\/p\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable class=\"alo-specs\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eBrand\u003c\/th\u003e\n\u003ctd\u003eDell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePart number(s)\u003c\/th\u003e\n\u003ctd\u003eH56H0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCategory\u003c\/th\u003e\n\u003ctd\u003eGPUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ch2\u003eOrdering from Alo Tech\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eWorldwide DDP shipping — duties, taxes and customs clearance included in the quote.\u003c\/li\u003e\n\u003cli\u003eB2B pricing with a formal quote within 24 hours; purchase orders accepted.\u003c\/li\u003e\n\u003cli\u003eVolume and project pricing available for Dell deployments.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"alo-links\"\u003eBrowse: \u003ca href=\"\/collections\/dell-gpus-accelerators\"\u003eDell GPUs\u003c\/a\u003e · \u003ca href=\"\/collections\/gpus-accelerators\"\u003eAll GPUs\u003c\/a\u003e · \u003ca href=\"\/collections\/dell-parts\"\u003eAll Dell parts\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":48890157203712,"sku":"H56H0","price":120.69,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/e183bb7c-c1ca-59ab-a094-d1433b152f2f.png?v=1782423609"},{"product_id":"dell-nvidia-rtx-a2000-6gb-pcie-40-x16-mini-ports-graphics-card-0ydngm-ydngm","title":"Dell Nvidia RTX A2000 6GB PCIe 4.0 x16 Mini Ports Graphics Card 0YDNGM YDNGM","description":"\u003cp\u003eDell NVIDIA RTX A2000 6GB professional graphics card with PCIe 4.0 x16 interface, part numbers 0YDNGM and YDNGM. Mini DisplayPort outputs for professional workstation and visualization applications.\u003c\/p\u003e\u003ch3\u003eSpecifications\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePart Number\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e0YDNGM \/ YDNGM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBrand\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDell\/NVIDIA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModel\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRTX A2000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInterface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePCIe 4.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOutputs\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMini Ports\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eAvailable new and refurbished — contact us for current stock and condition options.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"\/pages\/request-for-quote\"\u003e\u003cstrong\u003eRequest a Quote — Bulk \/ DDP Pricing\u003c\/strong\u003e\u003c\/a\u003e\u003c\/p\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":48890157236480,"sku":"YDNGM","price":617.69,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/b96a89ce-f30b-5c47-bcb4-ae9fcceab863.png?v=1782423609"},{"product_id":"dell-amd-radeon-pro-w6400-4gb-gddr6-pci-express-40-graphics-card-5gynf","title":"Dell AMD Radeon Pro W6400 4GB GDDR6 PCI Express 4.0 Graphics Card (5GYNF)","description":"\u003cp\u003eDell AMD Radeon Pro W6400 4GB professional graphics card with GDDR6 memory, model 5GYNF. PCI Express 4.0 interface for workstation graphics, CAD, and professional visualization workflows.\u003c\/p\u003e\u003ch3\u003eSpecifications\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePart Number\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5GYNF\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBrand\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDell\/AMD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModel\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRadeon Pro W6400\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4GB GDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInterface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePCI Express 4.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eType\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eProfessional Graphics Card\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eAvailable new and refurbished — contact us for current stock and condition options.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"\/pages\/request-for-quote\"\u003e\u003cstrong\u003eRequest a Quote — Bulk \/ DDP Pricing\u003c\/strong\u003e\u003c\/a\u003e\u003c\/p\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":48890157465856,"sku":"5GYNF","price":201.63,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/2078fd34-a199-5617-9ce1-58446c17cbb8.png?v=1782423615"}],"url":"https:\/\/alotechparts.com\/collections\/dell-gpus-accelerators.oembed?page=6","provider":"Alo Tech Solutions","version":"1.0","type":"link"}