{"title":"GPUs \u0026 Accelerators","description":"\u003cp\u003eGPUs \u0026amp; Accelerators at Alo Tech: 855 products from Dell, NVIDIA, PNY, Cisco, AMD, ASUS — data-center and workstation GPUs, AI accelerators and GPU cables\/brackets. All orders ship worldwide DDP — duties and taxes included — with a formal B2B quote within 24 hours and purchase orders accepted.\u003c\/p\u003e\u003cp class=\"seo-links\"\u003eBrowse by brand: \u003ca href=\"\/collections\/dell-gpus-accelerators\"\u003eDell GPUs\u003c\/a\u003e · \u003ca href=\"\/collections\/nvidia-gpus-accelerators\"\u003eNVIDIA GPUs\u003c\/a\u003e · \u003ca href=\"\/collections\/pny-gpus-accelerators\"\u003ePNY GPUs\u003c\/a\u003e · \u003ca href=\"\/collections\/cisco-gpus-accelerators\"\u003eCisco GPUs\u003c\/a\u003e · \u003ca href=\"\/collections\/amd-gpus-accelerators\"\u003eAMD GPUs\u003c\/a\u003e · \u003ca href=\"\/collections\/asus-gpus-accelerators\"\u003eASUS GPUs\u003c\/a\u003e\u003c\/p\u003e","products":[{"product_id":"nvidia-l40s-48gb-gddr6-pcie-x16-fhfl-accelerator-gpu-hpe-p68953-b21-p67869-001","title":"NVIDIA L40S 48GB GDDR6 PCIe x16 FHFL Accelerator GPU HPE P68953-B21 P67869-001","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 data-end=\"82\" data-start=\"0\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"82\" data-start=\"0\"\u003eNVIDIA L40S 48GB GDDR6 PCIe x16 FHFL Accelerator GPU HPE P68953-B21 P67869-001\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp data-end=\"423\" data-start=\"84\" style=\"text-align: justify;\"\u003eThe NVIDIA L40S 48GB PCIe Accelerator (HPE Spare Part: P67869-001) is a high-performance data center GPU built on the NVIDIA Ada Lovelace architecture. It is designed for demanding workloads such as generative AI, Large Language Model (LLM) inference, high-performance computing, and advanced graphics rendering in enterprise environments.\u003c\/p\u003e\n\n\u003chr data-end=\"428\" data-start=\"425\"\u003e\n\u003ch3 data-end=\"465\" data-section-id=\"yk79hc\" data-start=\"430\" style=\"text-align: justify;\"\u003eCore Technical Specifications\u003c\/h3\u003e\n\n\u003cp data-end=\"774\" data-start=\"466\" style=\"text-align: justify;\"\u003eGPU Model: NVIDIA L40S\u003cbr data-end=\"491\" data-start=\"488\"\u003e\nArchitecture: Ada Lovelace\u003cbr data-end=\"520\" data-start=\"517\"\u003e\nMemory: 48GB GDDR6\u003cbr data-end=\"541\" data-start=\"538\"\u003e\nMemory Bandwidth: 864 GB\/s\u003cbr data-end=\"570\" data-start=\"567\"\u003e\nInterface: PCIe Gen4 x16 (forward compatible with newer platforms)\u003cbr data-end=\"639\" data-start=\"636\"\u003e\nForm Factor: Full-Height, Full-Length (FHFL), dual-slot\u003cbr data-end=\"697\" data-start=\"694\"\u003e\nCooling: Passive (requires server-grade airflow)\u003cbr data-end=\"748\" data-start=\"745\"\u003e\nPower Consumption: ~350W\u003c\/p\u003e\n\n\u003chr data-end=\"779\" data-start=\"776\"\u003e\n\u003ch3 data-end=\"815\" data-section-id=\"yizl7r\" data-start=\"781\" style=\"text-align: justify;\"\u003eSpecialized Compute Features\u003c\/h3\u003e\n\n\u003cp data-end=\"921\" data-start=\"817\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"851\" data-start=\"817\"\u003eTensor Cores (4th Generation):\u003c\/strong\u003e\u003cbr data-end=\"854\" data-start=\"851\"\u003e\nOptimized for AI training, inference, and deep learning workloads\u003c\/p\u003e\n\n\u003cp data-end=\"1014\" data-start=\"923\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"953\" data-start=\"923\"\u003eRT Cores (3rd Generation):\u003c\/strong\u003e\u003cbr data-end=\"956\" data-start=\"953\"\u003e\nAccelerates real-time ray tracing and advanced rendering\u003c\/p\u003e\n\n\u003cp data-end=\"1113\" data-start=\"1016\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1042\" data-start=\"1016\"\u003eAI \u0026amp; LLM Optimization:\u003c\/strong\u003e\u003cbr data-end=\"1045\" data-start=\"1042\"\u003e\nBuilt for generative AI, large-scale inference, and data analytics\u003c\/p\u003e\n\n\u003chr data-end=\"1118\" data-start=\"1115\"\u003e\n\u003ch3 data-end=\"1138\" data-section-id=\"1sboupi\" data-start=\"1120\" style=\"text-align: justify;\"\u003eKey Features\u003c\/h3\u003e\n\n\u003cp data-end=\"1247\" data-start=\"1140\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1177\" data-start=\"1140\"\u003eHigh-Performance AI Acceleration:\u003c\/strong\u003e\u003cbr data-end=\"1180\" data-start=\"1177\"\u003e\nIdeal for AI model inference, machine learning, and HPC workloads\u003c\/p\u003e\n\n\u003cp data-end=\"1344\" data-start=\"1249\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1284\" data-start=\"1249\"\u003eEnterprise Graphics Capability:\u003c\/strong\u003e\u003cbr data-end=\"1287\" data-start=\"1284\"\u003e\nSupports rendering, simulation, and visualization tasks\u003c\/p\u003e\n\n\u003cp data-end=\"1446\" data-start=\"1346\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1382\" data-start=\"1346\"\u003eScalable Data Center Deployment:\u003c\/strong\u003e\u003cbr data-end=\"1385\" data-start=\"1382\"\u003e\nDesigned for multi-GPU configurations in enterprise servers\u003c\/p\u003e\n\n\u003chr data-end=\"1451\" data-start=\"1448\"\u003e\n\u003ch3 data-end=\"1472\" data-section-id=\"rkevhk\" data-start=\"1453\" style=\"text-align: justify;\"\u003eCompatibility\u003c\/h3\u003e\n\n\u003cp data-end=\"1566\" data-start=\"1474\" style=\"text-align: justify;\"\u003eThis GPU is validated for high-performance server platforms with adequate power and cooling:\u003c\/p\u003e\n\n\u003chr data-end=\"1571\" data-start=\"1568\"\u003e\n\u003ch4 data-end=\"1606\" data-start=\"1573\" style=\"text-align: justify;\"\u003eSupported Server Platforms\u003c\/h4\u003e\n\n\u003cp data-end=\"1658\" data-start=\"1608\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1626\" data-start=\"1608\"\u003eGen12 Systems:\u003c\/strong\u003e\u003cbr data-end=\"1629\" data-start=\"1626\"\u003e\nDL320, DL340, DL380, DL380a\u003c\/p\u003e\n\n\u003cp data-end=\"1724\" data-start=\"1660\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1678\" data-start=\"1660\"\u003eGen11 Systems:\u003c\/strong\u003e\u003cbr data-end=\"1681\" data-start=\"1678\"\u003e\nDL320, DL380, DL380a, DL385, DL145, ML350\u003c\/p\u003e\n\n\u003chr data-end=\"1729\" data-start=\"1726\"\u003e\n\u003ch4 data-end=\"1765\" data-start=\"1731\" style=\"text-align: justify;\"\u003eSpecialized \u0026amp; HPC Platforms\u003c\/h4\u003e\n\n\u003cp data-end=\"1910\" data-start=\"1767\" style=\"text-align: justify;\"\u003eEdge Servers: e920d Gen10 Plus, e930t Gen11\u003cbr data-end=\"1813\" data-start=\"1810\"\u003e\nScale-Up Systems: Scale-up Server 3200\u003cbr data-end=\"1854\" data-start=\"1851\"\u003e\nHPC Platforms: Cray XD295v, ProLiant XL675d Gen10 Plus\u003c\/p\u003e\n\n\u003chr data-end=\"1915\" data-start=\"1912\"\u003e\n\u003ch3 data-end=\"1953\" data-section-id=\"19pu4f3\" data-start=\"1917\" style=\"text-align: justify;\"\u003eCritical Hardware Requirements\u003c\/h3\u003e\n\n\u003cp data-end=\"2050\" data-start=\"1955\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1967\" data-start=\"1955\"\u003eCooling:\u003c\/strong\u003e\u003cbr data-end=\"1970\" data-start=\"1967\"\u003e\nRequires high-performance fan configurations; standard cooling is insufficient\u003c\/p\u003e\n\n\u003cp data-end=\"2140\" data-start=\"2052\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2062\" data-start=\"2052\"\u003ePower:\u003c\/strong\u003e\u003cbr data-end=\"2065\" data-start=\"2062\"\u003e\nRecommended 800W–1000W overhead per GPU; 2000W+ PSUs for multi-GPU setups\u003c\/p\u003e\n\n\u003cp data-end=\"2254\" data-start=\"2142\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2169\" data-start=\"2142\"\u003eExpansion Requirements:\u003c\/strong\u003e\u003cbr data-end=\"2172\" data-start=\"2169\"\u003e\nRequires PCIe x16 riser kits and auxiliary GPU power cables for proper operation\u003c\/p\u003e\n\n\u003chr data-end=\"2259\" data-start=\"2256\"\u003e\n\u003ch3 data-end=\"2291\" data-section-id=\"1ay9nip\" data-start=\"2261\" style=\"text-align: justify;\"\u003eOperating System Support\u003c\/h3\u003e\n\n\u003cp data-end=\"2446\" data-start=\"2293\" style=\"text-align: justify;\"\u003eWindows: Windows Server 2019, 2022, 2025\u003cbr data-end=\"2336\" data-start=\"2333\"\u003e\nLinux: RHEL, SUSE, Ubuntu, Oracle Linux\u003cbr data-end=\"2378\" data-start=\"2375\"\u003e\nVirtualization: VMware ESXi 7.x \/ 8.x (GPU pass-through supported)\u003c\/p\u003e\n\n\u003chr data-end=\"2451\" data-start=\"2448\"\u003e\n\u003ch3 data-end=\"2479\" data-section-id=\"7wg9vy\" data-start=\"2453\" style=\"text-align: justify;\"\u003eRelated Part Numbers\u003c\/h3\u003e\n\n\u003cp data-end=\"2524\" data-start=\"2481\" style=\"text-align: justify;\"\u003eP68953-B21\u003cbr data-end=\"2494\" data-start=\"2491\"\u003e\nP67869-001\u003cbr data-end=\"2507\" data-start=\"2504\"\u003e\nS2L70A\u003cbr data-end=\"2516\" data-start=\"2513\"\u003e\nS2L70C\u003c\/p\u003e\n\n\u003chr data-end=\"2529\" data-start=\"2526\"\u003e\n\u003cp data-end=\"2769\" data-is-last-node=\"\" data-is-only-node=\"\" data-start=\"2531\" style=\"text-align: justify;\"\u003eThe NVIDIA L40S 48GB GPU delivers cutting-edge AI acceleration, exceptional memory capacity, and enterprise-grade reliability, making it an ideal solution for modern data centers, AI workloads, and high-performance computing environments.\u003c\/p\u003e\n","brand":"HPE","offers":[{"title":"Default Title","offer_id":48889707856128,"sku":"P67869-001","price":10655.75,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/52fe5fb1-7ddd-56e0-9de8-31d302588643.png?v=1782417324"},{"product_id":"nvidia-tesla-v100-volta-32gb-hbm2-pcie-30-x16-passive-gpu-699-2g500-0202-460","title":"Nvidia Tesla V100 Volta 32GB HBM2 PCIe 3.0 x16 Passive GPU 699-2G500-0202-460","description":"\u003cp\u003eThe Nvidia Tesla V100 is a high-performance GPU with 32GB HBM2 memory and PCIe 3.0 x16 interface. This Volta-based GPU is designed for accelerated computing, deep learning, and scientific simulations in enterprise environments.\u003c\/p\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eBrand\u003c\/th\u003e\n\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePart Number\u003c\/th\u003e\n\u003ctd\u003e699-2G500-0202-460\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eType\u003c\/th\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eMemory\u003c\/th\u003e\n\u003ctd\u003e32GB HBM2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eSpeed\u003c\/th\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\"\u003eRequest a Quote — Bulk \/ DDP Pricing\u003c\/a\u003e\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":48889713852672,"sku":"699-2G500-0202-460","price":1348.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/f3879caa-3217-5540-8927-af6c56b72aa5.png?v=1782417473"},{"product_id":"rear-flat-extension-bracket-nvidia-quadro-k5200-k6000-tesla-k20-320-0867-001","title":"Rear Flat Extension Bracket NVidia Quadro K5200 K6000 Tesla K20 320-0867-001","description":"\u003cp\u003eRear Flat Extension Bracket for NVIDIA Quadro K5200, K6000, and Tesla K20 GPUs, part number 320-0867-001. Provides proper support and spacing for GPU installation in 1U servers.\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\u003e320-0867-001\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eType\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGPU Extension Bracket\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCompatibility\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eQuadro K5200, K6000, Tesla K20\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":"NVIDIA","offers":[{"title":"Default Title","offer_id":48889714508032,"sku":"320-0867-001","price":46.85,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/2d6fcbdd-7169-55ac-b50e-216a2aa282d7.png?v=1782417499"},{"product_id":"gigabyte-9nc4335nr-00-10b-gpu-riser-board-nc4335n-00","title":"Gigabyte 9NC4335NR-00-10B GPU Riser Board nC4335N-00","description":"\u003cp\u003eGigabyte 9NC4335NR-00-10B GPU Riser Board, model nC4335N-00. Support structure and power distribution for GPU expansion in multi-GPU server configurations.\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\u003eGigabyte\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePart Number\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e9NC4335NR-00-10B\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModel\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003enC4335N-00\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eType\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGPU Riser Board\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":"Gigabyte","offers":[{"title":"Default Title","offer_id":48889716769024,"sku":"nC4335N-00","price":336.53,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/fff64476-2467-5773-a136-2eb511d11662.png?v=1782417583"},{"product_id":"nvidia-evga-geforce-gtx-650-1gb-graphics-card-01g-p4-2650-kr","title":"NVIDIA EVGA GeForce GTX 650 1GB Graphics Card 01G-P4-2650-KR","description":"\u003cp\u003eNVIDIA EVGA GeForce GTX 650 1GB Graphics Card by NVIDIA\/EVGA. A compact GPU accelerator card designed for graphics rendering and compute applications. Part number: 01G-P4-2650-KR.\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\u003e01G-P4-2650-KR\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct Type\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGraphics Cards\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModel\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGeForce GTX 650\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":"NVIDIA","offers":[{"title":"Default Title","offer_id":48889733513472,"sku":"01G-P4-2650-KR","price":66.73,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/f1410d15-31b8-5fa1-8646-b590144897e5.png?v=1782418038"},{"product_id":"evga-geforce-gtx-1080-sc-gaming-acx-8gb-gddr5x-pci-e-30-gpu-8g-p4-6183-kr","title":"EVGA GeForce GTX 1080 SC GAMING ACX 8GB GDDR5X PCI-E 3.0 GPU 8G-P4-6183-KR","description":"\u003cp\u003eEVGA GeForce GTX 1080 SC GAMING ACX 8GB GDDR5X GPU by NVIDIA\/EVGA. A high-performance graphics accelerator card with SuperClocked boost and dual-slot cooling for demanding graphics and compute workloads. Part number: 8G-P4-6183-KR.\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\u003eEVGA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePart Number\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8G-P4-6183-KR\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct Type\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGraphics Cards\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8GB GDDR5X\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModel\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGeForce GTX 1080\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCooling\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eACX\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":"EVGA","offers":[{"title":"Default Title","offer_id":48889734037760,"sku":"8G-P4-6183-KR","price":269.79,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/b64bcbe6-2693-5b2c-94ed-45e2da83c4e1.png?v=1782418044"},{"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":"pny-nvidia-geforce-gtx-1080-8gb-gddr5x-graphics-card-gpu-gmx1080n3i8gs-ktmaafa","title":"PNY NVIDIA GeForce GTX 1080 8GB GDDR5X Graphics Card GPU GMX1080N3I8GS-KTMAAFA","description":"\u003cp\u003ePNY NVIDIA GeForce GTX 1080 8GB GDDR5X Graphics Card GPU by PNY. A high-performance graphics accelerator built on NVIDIA's GTX 1080 architecture with 8GB of video memory. Part number: GMX1080N3I8GS-KTMAAFA.\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\u003eGMX1080N3I8GS-KTMAAFA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct Type\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGraphics Cards\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8GB GDDR5X\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModel\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGeForce GTX 1080\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":"NVIDIA","offers":[{"title":"Default Title","offer_id":48889744752896,"sku":"GMX1080N3I8GS-KTMAAFA","price":194.53,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/a4880df8-8324-5a78-a826-51afe982c64b.png?v=1782418106"},{"product_id":"nvidia-geforce-gtx-680-2gb-gddr5-pci-express-30-gpu-699-12002-0000-301","title":"NVIDIA GeForce GTX 680 2GB GDDR5 PCI Express 3.0 GPU 699-12002-0000-301","description":"\u003cp\u003eNVIDIA GeForce GTX 680 2GB GDDR5 PCI Express 3.0 GPU by NVIDIA. A professional-class graphics accelerator card with 2GB of GDDR5 memory for graphics rendering and compute applications. Part number: 699-12002-0000-301.\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\u003e699-12002-0000-301\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct Type\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGraphics Cards\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\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModel\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGeForce GTX 680\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 3.0\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":"NVIDIA","offers":[{"title":"Default Title","offer_id":48889745047808,"sku":"699-12002-0000-301","price":100.81,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/9c4a4406-86a0-5745-8784-97ec9eaca038.png?v=1782418104"},{"product_id":"nvidia-titan-x-pascal-12gb-gddr5x-graphics-card-gpu-900-1g611-2500-000","title":"NVIDIA Titan X (Pascal) 12GB GDDR5X Graphics Card GPU 900-1G611-2500-000","description":"\u003cp\u003eNVIDIA Titan X (Pascal) 12GB GDDR5X Graphics Card GPU by NVIDIA. A flagship high-performance GPU accelerator with 12GB of GDDR5X memory for professional graphics and compute workloads. Part number: 900-1G611-2500-000.\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\u003e900-1G611-2500-000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct Type\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGraphics Cards\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e12GB GDDR5X\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModel\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTitan X (Pascal)\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":"NVIDIA","offers":[{"title":"Default Title","offer_id":48889745244416,"sku":"900-1G611-2500-000","price":242.81,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/14211859-5a60-562a-8dc3-ffa45aa80c2a.png?v=1782418118"},{"product_id":"nvidia-geforce-gtx-1070-8gb-gddr5-pascal-graphics-card-gpu-699-1g411-0000-100","title":"Nvidia GeForce GTX 1070 8GB GDDR5 \"Pascal\" Graphics Card GPU 699-1G411-0000-100","description":"\u003cp\u003eNvidia GeForce GTX 1070 8GB GDDR5 \"Pascal\" Graphics Card GPU by NVIDIA. 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Part number: 699-1G411-0000-100.\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\u003e699-1G411-0000-100\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct Type\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGraphics Cards\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8GB GDDR5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModel\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGeForce GTX 1070\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":"NVIDIA","offers":[{"title":"Default Title","offer_id":48889758187776,"sku":"699-1G411-0000-100","price":134.89,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/4bd5805c-7835-561c-9159-556674ea3c4b.png?v=1782418128"},{"product_id":"nvidia-tesla-k80-kepler-cuda-24gb-gddr5-pci-e-30-gpu-699-22080-0200-501","title":"NVIDIA Tesla K80 Kepler Cuda 24GB GDDR5 PCI-E 3.0 GPU 699-22080-0200-501","description":"\u003cp\u003eNVIDIA Tesla K80 Kepler Cuda 24GB GDDR5 PCI-E 3.0 GPU by NVIDIA. A professional GPU accelerator with 24GB of GDDR5 memory for scientific compute and machine learning workloads. Part number: 699-22080-0200-501.\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\u003e699-22080-0200-501\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct Type\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGraphics Cards\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\u003eModel\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTesla K80\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eArchitecture\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eKepler\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInterface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePCI-E 3.0\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":"NVIDIA","offers":[{"title":"Default Title","offer_id":48889758908672,"sku":"699-22080-0200-501","price":309.55,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/fac199b0-d5d8-5e0b-a702-5093590d1a9b.png?v=1782418148"},{"product_id":"nvidia-geforce-gtx-1080-ti-founders-11gb-gddr5x-graphics-card-699-1g611-0050-002","title":"NVIDIA GeForce GTX 1080 Ti Founders 11GB GDDR5X Graphics Card 699-1G611-0050-002","description":"\u003ch2 data-end=\"295\" data-start=\"190\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"295\" data-start=\"193\"\u003eNVIDIA GeForce GTX 1080 Ti Founders Edition 11GB GDDR5X Graphics Card | PG611 | 699-1G611-0050-002\u003c\/strong\u003e\u003c\/h2\u003e\n\n\u003cp data-end=\"706\" data-start=\"297\" style=\"text-align: justify;\"\u003eThe \u003cstrong data-end=\"348\" data-start=\"301\"\u003eNVIDIA GeForce GTX 1080 Ti Founders Edition\u003c\/strong\u003e is a legendary high-performance graphics card built on \u003cstrong data-end=\"436\" data-start=\"404\"\u003eNVIDIA’s Pascal architecture\u003c\/strong\u003e, delivering exceptional power for \u003cstrong data-end=\"543\" data-start=\"471\"\u003e4K gaming, VR, content creation, and professional graphics workloads\u003c\/strong\u003e. With \u003cstrong data-end=\"569\" data-start=\"550\"\u003e3584 CUDA cores\u003c\/strong\u003e and \u003cstrong data-end=\"610\" data-start=\"574\"\u003e11GB of ultra-fast GDDR5X memory\u003c\/strong\u003e, the GTX 1080 Ti remains a reliable choice for users seeking premium performance and stability.\u003c\/p\u003e\n\n\u003cp data-end=\"900\" data-start=\"708\" style=\"text-align: justify;\"\u003eIdentified by \u003cstrong data-end=\"737\" data-start=\"722\"\u003emodel PG611\u003c\/strong\u003e and \u003cstrong data-end=\"776\" data-start=\"742\"\u003epart number 699-1G611-0050-002\u003c\/strong\u003e, this Founders Edition card features NVIDIA’s reference design with efficient thermal performance and robust build quality.\u003c\/p\u003e\n\n\u003chr data-end=\"905\" data-start=\"902\"\u003e\n\u003ch3 data-end=\"934\" data-start=\"907\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"934\" data-start=\"911\"\u003eCore Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"1212\" data-start=\"936\"\u003e\n\t\u003cli data-end=\"975\" data-start=\"936\"\u003e\n\t\u003cp data-end=\"975\" data-start=\"938\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"959\" data-start=\"938\"\u003eGPU Architecture:\u003c\/strong\u003e NVIDIA Pascal\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1001\" data-start=\"976\"\u003e\n\t\u003cp data-end=\"1001\" data-start=\"978\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"993\" data-start=\"978\"\u003eCUDA Cores:\u003c\/strong\u003e 3,584\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1031\" data-start=\"1002\"\u003e\n\t\u003cp data-end=\"1031\" data-start=\"1004\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1019\" data-start=\"1004\"\u003eBase Clock:\u003c\/strong\u003e 1,480 MHz\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1062\" data-start=\"1032\"\u003e\n\t\u003cp data-end=\"1062\" data-start=\"1034\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1050\" data-start=\"1034\"\u003eBoost Clock:\u003c\/strong\u003e 1,582 MHz\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1090\" data-start=\"1063\"\u003e\n\t\u003cp data-end=\"1090\" data-start=\"1065\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1076\" data-start=\"1065\"\u003eMemory:\u003c\/strong\u003e 11GB GDDR5X\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1124\" data-start=\"1091\"\u003e\n\t\u003cp data-end=\"1124\" data-start=\"1093\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1114\" data-start=\"1093\"\u003eMemory Interface:\u003c\/strong\u003e 352-bit\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1177\" data-start=\"1125\"\u003e\n\t\u003cp data-end=\"1177\" data-start=\"1127\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1144\" data-start=\"1127\"\u003eMemory Speed:\u003c\/strong\u003e 11 Gbps (11,016 MHz effective)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1212\" data-start=\"1178\"\u003e\n\t\u003cp data-end=\"1212\" data-start=\"1180\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1201\" data-start=\"1180\"\u003eMemory Bandwidth:\u003c\/strong\u003e 484 GB\/s\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"1217\" data-start=\"1214\"\u003e\n\u003ch3 data-end=\"1257\" data-start=\"1219\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1257\" data-start=\"1223\"\u003eConnectivity \u0026amp; Display Support\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"1477\" data-start=\"1259\"\u003e\n\t\u003cli data-end=\"1297\" data-start=\"1259\"\u003e\n\t\u003cp data-end=\"1297\" data-start=\"1261\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1275\" data-start=\"1261\"\u003eInterface:\u003c\/strong\u003e PCI Express 3.0 x16\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1368\" data-start=\"1298\"\u003e\n\t\u003cp data-end=\"1322\" data-start=\"1300\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1320\" data-start=\"1300\"\u003eDisplay Outputs:\u003c\/strong\u003e\u003c\/p\u003e\n\n\t\u003cul data-end=\"1368\" data-start=\"1325\"\u003e\n\t\t\u003cli data-end=\"1348\" data-start=\"1325\"\u003e\n\t\t\u003cp data-end=\"1348\" data-start=\"1327\" style=\"text-align: justify;\"\u003e3 × DisplayPort 1.4\u003c\/p\u003e\n\t\t\u003c\/li\u003e\n\t\t\u003cli data-end=\"1368\" data-start=\"1351\"\u003e\n\t\t\u003cp data-end=\"1368\" data-start=\"1353\" style=\"text-align: justify;\"\u003e1 × HDMI 2.0b\u003c\/p\u003e\n\t\t\u003c\/li\u003e\n\t\u003c\/ul\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1423\" data-start=\"1369\"\u003e\n\t\u003cp data-end=\"1423\" data-start=\"1371\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1402\" data-start=\"1371\"\u003eMaximum Digital Resolution:\u003c\/strong\u003e 7680 × 4320 @ 60Hz\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1477\" data-start=\"1424\"\u003e\n\t\u003cp data-end=\"1477\" data-start=\"1426\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1442\" data-start=\"1426\"\u003eDVI Support:\u003c\/strong\u003e Via DisplayPort to DVI-D adapter\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"1482\" data-start=\"1479\"\u003e\n\u003ch3 data-end=\"1507\" data-start=\"1484\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1507\" data-start=\"1488\"\u003ePower \u0026amp; Cooling\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"1721\" data-start=\"1509\"\u003e\n\t\u003cli data-end=\"1550\" data-start=\"1509\"\u003e\n\t\u003cp data-end=\"1550\" data-start=\"1511\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1542\" data-start=\"1511\"\u003eThermal Design Power (TDP):\u003c\/strong\u003e 250 W\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1603\" data-start=\"1551\"\u003e\n\t\u003cp data-end=\"1603\" data-start=\"1553\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1574\" data-start=\"1553\"\u003ePower Connectors:\u003c\/strong\u003e 1 × 6-pin + 1 × 8-pin PCIe\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1653\" data-start=\"1604\"\u003e\n\t\u003cp data-end=\"1653\" data-start=\"1606\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1635\" data-start=\"1606\"\u003eRecommended Power Supply:\u003c\/strong\u003e 600 W or higher\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1721\" data-start=\"1654\"\u003e\n\t\u003cp data-end=\"1721\" data-start=\"1656\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1675\" data-start=\"1656\"\u003eCooling Design:\u003c\/strong\u003e NVIDIA Founders Edition blower-style cooler\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"1726\" data-start=\"1723\"\u003e\n\u003ch3 data-end=\"1759\" data-start=\"1728\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1759\" data-start=\"1732\"\u003eKey Features \u0026amp; Benefits\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"2027\" data-start=\"1761\"\u003e\n\t\u003cli data-end=\"1802\" data-start=\"1761\"\u003e\n\t\u003cp data-end=\"1802\" data-start=\"1763\" style=\"text-align: justify;\"\u003eOutstanding \u003cstrong data-end=\"1800\" data-start=\"1775\"\u003e4K and VR performance\u003c\/strong\u003e\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1866\" data-start=\"1803\"\u003e\n\t\u003cp data-end=\"1866\" data-start=\"1805\" style=\"text-align: justify;\"\u003eHigh CUDA core count for \u003cstrong data-end=\"1864\" data-start=\"1830\"\u003ecreative and compute workloads\u003c\/strong\u003e\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1913\" data-start=\"1867\"\u003e\n\t\u003cp data-end=\"1913\" data-start=\"1869\" style=\"text-align: justify;\"\u003ePremium \u003cstrong data-end=\"1911\" data-start=\"1877\"\u003eFounders Edition build quality\u003c\/strong\u003e\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1958\" data-start=\"1914\"\u003e\n\t\u003cp data-end=\"1958\" data-start=\"1916\" style=\"text-align: justify;\"\u003eSupports \u003cstrong data-end=\"1956\" data-start=\"1925\"\u003eHDR, G-SYNC, and DirectX 12\u003c\/strong\u003e\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2027\" data-start=\"1959\"\u003e\n\t\u003cp data-end=\"2027\" data-start=\"1961\" style=\"text-align: justify;\"\u003eIdeal for \u003cstrong data-end=\"2025\" data-start=\"1971\"\u003egaming rigs, workstations, and multimedia creation\u003c\/strong\u003e\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"2032\" data-start=\"2029\"\u003e\n\u003ch3 data-end=\"2057\" data-start=\"2034\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2057\" data-start=\"2038\"\u003eIdeal Use Cases\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"2213\" data-start=\"2059\"\u003e\n\t\u003cli data-end=\"2094\" data-start=\"2059\"\u003e\n\t\u003cp data-end=\"2094\" data-start=\"2061\" style=\"text-align: justify;\"\u003eHigh-end gaming at 1440p and 4K\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2131\" data-start=\"2095\"\u003e\n\t\u003cp data-end=\"2131\" data-start=\"2097\" style=\"text-align: justify;\"\u003eVirtual reality (VR) experiences\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2166\" data-start=\"2132\"\u003e\n\t\u003cp data-end=\"2166\" data-start=\"2134\" style=\"text-align: justify;\"\u003eVideo editing and 3D rendering\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2213\" data-start=\"2167\"\u003e\n\t\u003cp data-end=\"2213\" data-start=\"2169\" style=\"text-align: justify;\"\u003eGPU-accelerated applications and workflows\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"2218\" data-start=\"2215\"\u003e\n\u003cp data-end=\"2470\" data-is-last-node=\"\" data-is-only-node=\"\" data-start=\"2220\" style=\"text-align: justify;\"\u003eThe \u003cstrong data-end=\"2300\" data-start=\"2224\"\u003eNVIDIA GeForce GTX 1080 Ti Founders Edition (PG611 \/ 699-1G611-0050-002)\u003c\/strong\u003e delivers \u003cstrong data-end=\"2389\" data-start=\"2310\"\u003eiconic Pascal performance, massive memory bandwidth, and proven reliability\u003c\/strong\u003e, making it a powerful graphics solution for enthusiasts and professionals alike.\u003c\/p\u003e\n","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":48889776636160,"sku":"699-1G611-0050-002","price":221.51,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/bffe8bd0-e2a7-5fb5-a0fd-b4eab8befd5d.png?v=1782418218"},{"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":"\u003cp\u003eGPU: Quadro M2000\u003cbr\u003e\nCUDA Cores: 768\u003cbr\u003e\nMemory Size: 4GB\u003cbr\u003e\nMemory Type: GDDR5\u003cbr\u003e\nDisplay Port: 4 X DisplayPort 1.2\u003c\/p\u003e\n","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":"nvidia-tesla-v100-16gb-hbm2-gpu-accelerator-graphics-card-699-2g500-0200-300","title":"Nvidia Tesla V100 16GB HBM2 GPU Accelerator Graphics Card 699-2G500-0200-300","description":"\u003cp data-end=\"257\" data-start=\"183\"\u003e\u003cstrong data-end=\"257\" data-start=\"183\"\u003eNVIDIA Tesla V100 16GB PCIe GPU Accelerator – Part #699-2G500-0200-300 \u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp data-end=\"665\" data-start=\"259\"\u003eBoost your AI, deep learning, and high-performance computing (HPC) workloads with the \u003cstrong data-end=\"392\" data-start=\"345\"\u003eNVIDIA Tesla V100 16GB PCIe GPU Accelerator\u003c\/strong\u003e, powered by the advanced \u003cstrong data-end=\"440\" data-start=\"418\"\u003eVolta architecture\u003c\/strong\u003e. 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With massive parallel processing power and high-speed memory, it’s ideal for researchers, data scientists, and enterprises aiming to accelerate innovation.\u003c\/p\u003e\n","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":48889842041088,"sku":"699-2G500-0202-400","price":1280.83,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/fb8a94ec-5b34-51df-a121-1e07a375a3d3.png?v=1782418389"},{"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. 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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. 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Based on the powerful \u003cb\u003eNVIDIA Kepler™ architecture\u003c\/b\u003e, this card is engineered to handle the most demanding graphics and compute-intensive workloads, from complex design and manufacturing to large-scale scientific visualization.\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\u003eMassive 12GB GDDR5 Memory:\u003c\/b\u003e The large \u003cb\u003e12GB\u003c\/b\u003e frame buffer is essential for professionals working with very large models and complex datasets, ensuring smooth and interactive performance.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eKepler Architecture Power:\u003c\/b\u003e Built on the powerful Kepler GPU architecture, featuring \u003cb\u003e2880 NVIDIA CUDA® cores\u003c\/b\u003e for massive parallel processing capabilities, accelerating simulation, rendering, and analysis tasks.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eHigh-Resolution Multi-Display:\u003c\/b\u003e Features a versatile set of display outputs, including \u003cb\u003etwo DisplayPort 1.2 and two DVI ports\u003c\/b\u003e, capable of driving up to four displays simultaneously at high resolutions.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eECC Memory Support:\u003c\/b\u003e Supports ECC (Error-Correcting Code) on its graphics memory, which protects against data corruption and is critical for applications demanding the highest level of data integrity.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eDesigned for Workstations:\u003c\/b\u003e As a full-height, dual-slot card, it is built for professional workstation chassis and is certified for a wide range of professional applications.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":48889913770240,"sku":"900-52081-0050-000","price":258.43,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/aa3e8875-e67e-55a8-9f84-c21ff88b9690.png?v=1782419297"},{"product_id":"evga-geforce-gtx-960-2gb-gddr5-ssc-super-superclocked-gaming-acx-20-video-card-1x-dvi-i-1x-hdmi-3x-displayport-pn-843368033583-02g-p4-2966-b6-02g-p4-2966-kr","title":"EVGA GeForce GTX 960 2GB GDDR5 SSC (Super SuperClocked) GAMING ACX 2.0+ Video Card. 1x DVI-I, 1x HDMI, 3x DisplayPort. 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Combined with EVGA's efficient ACX 2.0+ cooling, this card delivers a quiet and powerful gaming experience.\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\u003eSuper SuperClocked (SSC) Performance:\u003c\/b\u003e This is a premium, factory-overclocked version, providing higher clock speeds and better performance than standard GTX 960 models.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eACX 2.0+ Cooling:\u003c\/b\u003e EVGA's custom dual-fan ACX 2.0+ cooler features optimized fan blades and a large heatsink for superior heat dissipation, allowing the card to run cooler and quieter under load.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003e2GB GDDR5 Memory:\u003c\/b\u003e Equipped with 2GB of high-speed GDDR5 memory, ideal for playing a wide range of popular games and handling HD video content.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eVersatile Display Outputs:\u003c\/b\u003e Features a comprehensive set of display connections, including \u003cb\u003eone Dual-Link DVI-I, one HDMI 2.0, and three DisplayPort 1.2\u003c\/b\u003e outputs, supporting multi-monitor setups.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli\u003e\n\t\u003cp\u003e\u003cb\u003eNVIDIA Maxwell™ Architecture:\u003c\/b\u003e Built on NVIDIA's power-efficient Maxwell architecture, it supports key gaming technologies like NVIDIA G-SYNC™, GameStream™, and GeForce Experience™.\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n","brand":"EVGA","offers":[{"title":"Default Title","offer_id":48889913934080,"sku":"02G-P4-2966-KR","price":66.73,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/e5945b7d-d903-582c-bbdb-1388552ea76b.png?v=1782419295"},{"product_id":"dell-amd-radeon-pro-wx-3100-4gb-gddr5-pcie-video-card-radeon-pro-wx-3100","title":"Dell AMD Radeon Pro WX 3100 4GB GDDR5 PCIe Video Card (RADEON PRO WX 3100)","description":"\u003cp\u003eDell AMD Radeon Pro WX 3100 Graphics Card 4GB (Part Number: WX 3100). 4GB GDDR5 professional GPU for graphics-intensive applications. PCIe high-performance video card for design and workstation computing.\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":48890009485568,"sku":"RADEON PRO WX 3100","price":276.9,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/cf6355da-b2cb-59a7-b220-1f527b0165b8.png?v=1782421378"},{"product_id":"dell-amd-radeon-pro-wx-3100-4gb-gddr5-pcie-video-card-wx-3100","title":"Dell AMD Radeon Pro WX 3100 4GB GDDR5 PCIe Video Card (WX 3100)","description":"\u003cp\u003eDell AMD Radeon Pro WX 3100 4GB Graphics Card (Part Number: WX 3100). Professional graphics accelerator with 4GB GDDR5 memory. 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. PCIe graphics card for CAD and professional 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\u003eRADEON PRO WX 2100\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\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":48890009452800,"sku":"RADEON PRO WX 2100","price":53.96,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0388\/5331\/2557\/files\/fd71a19b-a135-52d0-b947-b7fb799d3172.jpg?v=1782421383"},{"product_id":"nvidia-tesla-k40-gpu-12gb-gddr5-pci-e-gpu-video-card-tesla-k40","title":"Nvidia Tesla K40 GPU 12GB GDDR5 PCI-E GPU Video Card (TESLA K40)","description":"\u003cp\u003eNVIDIA Tesla K40 GPU Accelerator 12GB (Part Number: TESLA K40). 12GB GDDR5 GPU with PCIe 3.0 interface. 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Pricing\u003c\/strong\u003e\u003c\/a\u003e\u003c\/p\u003e","brand":"Dell","offers":[{"title":"Default Title","offer_id":48890015580416,"sku":"QUADRO 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.jpg?v=1782421535"},{"product_id":"dell-nvidia-quadro-k4200-4gb-gddr5-pcie-gpu-video-graphics-card-k4200","title":"Dell Nvidia Quadro K4200 4GB GDDR5 PCIe GPU Video Graphics Card (K4200)","description":"\u003cp\u003eDell Nvidia Quadro K4200 4GB GDDR5 PCIe graphics card for professional workstations.\u003c\/p\u003e\u003ch3\u003eSpecifications\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVRAM\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4GB 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