{"product_id":"vfj45-refurbished-dell-nvidia-v100-16gb-hbm2-passive-gpu","title":"VFJ45 - Refurbished - Dell NVIDIA V100 16GB HBM2 Passive GPU","description":"\u003cp\u003eCondition: Refurbished\u003c\/p\u003e\n\u003cp data-start=\"0\" data-end=\"126\" class=\"\"\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eThe \u003cstrong data-start=\"4\" data-end=\"52\"\u003eDell NVIDIA Tesla V100 16GB HBM2 Passive GPU\u003c\/strong\u003e (Dell Part Number: \u003cstrong data-start=\"72\" data-end=\"81\"\u003eVFJ45\u003c\/strong\u003e) is a high-performance accelerator designed for intensive workloads such as AI training, deep learning inference, and high-performance computing (HPC).\u003c\/span\u003e \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eBuilt on NVIDIA’s Volta architecture, it delivers exceptional computational capabilities in a dual-slot, passively cooled form factor.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"133\" data-end=\"158\" class=\"\"\u003eSpecifications\u003c\/h3\u003e\n\u003cul data-start=\"160\" data-end=\"1150\"\u003e\n\u003cli data-start=\"160\" data-end=\"221\" class=\"\"\u003e\n\u003cp data-start=\"162\" data-end=\"221\" class=\"\"\u003e\u003cstrong data-start=\"162\" data-end=\"182\"\u003eGPU Architecture\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eNVIDIA Volta (GV100)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"222\" data-end=\"277\" class=\"\"\u003e\n\u003cp data-start=\"224\" data-end=\"277\" class=\"\"\u003e\u003cstrong data-start=\"224\" data-end=\"238\"\u003eCUDA Cores\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003e5,120\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"278\" data-end=\"301\" class=\"\"\u003e\n\u003cp data-start=\"280\" data-end=\"301\" class=\"\"\u003e\u003cstrong data-start=\"280\" data-end=\"296\"\u003eTensor Cores\u003c\/strong\u003e: 640\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"302\" data-end=\"357\" class=\"\"\u003e\n\u003cp data-start=\"304\" data-end=\"357\" class=\"\"\u003e\u003cstrong data-start=\"304\" data-end=\"318\"\u003eBase Clock\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003e1,245 MHz\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"358\" data-end=\"414\" class=\"\"\u003e\n\u003cp data-start=\"360\" data-end=\"414\" class=\"\"\u003e\u003cstrong data-start=\"360\" data-end=\"375\"\u003eBoost Clock\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003e1,380 MHz\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"415\" data-end=\"466\" class=\"\"\u003e\n\u003cp data-start=\"417\" data-end=\"466\" class=\"\"\u003e\u003cstrong data-start=\"417\" data-end=\"427\"\u003eMemory\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003e16 GB HBM2 with ECC\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"467\" data-end=\"528\" class=\"\"\u003e\n\u003cp data-start=\"469\" data-end=\"528\" class=\"\"\u003e\u003cstrong data-start=\"469\" data-end=\"489\"\u003eMemory Interface\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003e4,096-bit\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"529\" data-end=\"590\" class=\"\"\u003e\n\u003cp data-start=\"531\" data-end=\"590\" class=\"\"\u003e\u003cstrong data-start=\"531\" data-end=\"551\"\u003eMemory Bandwidth\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eUp to 900 GB\/s\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"591\" data-end=\"659\" class=\"\"\u003e\n\u003cp data-start=\"593\" data-end=\"659\" class=\"\"\u003e\u003cstrong data-start=\"593\" data-end=\"618\"\u003ePeak FP32 Performance\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003e14 TFLOPS\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"660\" data-end=\"728\" class=\"\"\u003e\n\u003cp data-start=\"662\" data-end=\"728\" class=\"\"\u003e\u003cstrong data-start=\"662\" data-end=\"687\"\u003ePeak FP64 Performance\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003e7 TFLOPS\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"729\" data-end=\"799\" class=\"\"\u003e\n\u003cp data-start=\"731\" data-end=\"799\" class=\"\"\u003e\u003cstrong data-start=\"731\" data-end=\"758\"\u003ePeak Tensor Performance\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003e112 TFLOPS\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"800\" data-end=\"838\" class=\"\"\u003e\n\u003cp data-start=\"802\" data-end=\"838\" class=\"\"\u003e\u003cstrong data-start=\"802\" data-end=\"832\"\u003eTDP (Thermal Design Power)\u003c\/strong\u003e: 250W\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"839\" data-end=\"893\" class=\"\"\u003e\n\u003cp data-start=\"841\" data-end=\"893\" class=\"\"\u003e\u003cstrong data-start=\"841\" data-end=\"852\"\u003eCooling\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003ePassive (requires adequate system airflow)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"894\" data-end=\"952\" class=\"\"\u003e\n\u003cp data-start=\"896\" data-end=\"952\" class=\"\"\u003e\u003cstrong data-start=\"896\" data-end=\"911\"\u003eForm Factor\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eFull-height, dual-slot, 10.5 inches (267 mm) in length\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"953\" data-end=\"1015\" class=\"\"\u003e\n\u003cp data-start=\"955\" data-end=\"1015\" class=\"\"\u003e\u003cstrong data-start=\"955\" data-end=\"974\"\u003ePower Connector\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003e1 × 8-pin PCIe\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1016\" data-end=\"1076\" class=\"\"\u003e\n\u003cp data-start=\"1018\" data-end=\"1076\" class=\"\"\u003e\u003cstrong data-start=\"1018\" data-end=\"1035\"\u003eBus Interface\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003ePCIe 3.0 x16\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1077\" data-end=\"1150\" class=\"\"\u003e\n\u003cp data-start=\"1079\" data-end=\"1150\" class=\"\"\u003e\u003cstrong data-start=\"1079\" data-end=\"1098\"\u003eDisplay Outputs\u003c\/strong\u003e: None\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"1157\" data-end=\"1191\" class=\"\"\u003eCompatibility \u0026amp; Deployment\u003c\/h3\u003e\n\u003cp data-start=\"1193\" data-end=\"1318\" class=\"\"\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eThe Tesla V100 VFJ45 is compatible with systems that have a PCIe 3.0 x16 slot and sufficient power delivery.\u003c\/span\u003e \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eIt has been used in various server models, including:\u003c\/span\u003e\u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul data-start=\"1320\" data-end=\"1491\"\u003e\n\u003cli data-start=\"1320\" data-end=\"1361\" class=\"\"\u003e\n\u003cp data-start=\"1322\" data-end=\"1361\" class=\"\"\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eDell PowerEdge C4140\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1362\" data-end=\"1403\" class=\"\"\u003e\n\u003cp data-start=\"1364\" data-end=\"1403\" class=\"\"\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eDell PowerEdge R730, R740xd, R7525\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1404\" data-end=\"1491\" class=\"\"\u003e\n\u003cp data-start=\"1406\" data-end=\"1491\" class=\"\"\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eDell PowerEdge T430, T440, T560, T630, T640\u003c\/span\u003e\u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1493\" data-end=\"1578\" class=\"\"\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eDue to its passive cooling design, it's essential to ensure that the host system provides adequate airflow to maintain optimal operating temperatures.\u003c\/span\u003e\u003c\/p\u003e","brand":"ShopITgear","offers":[{"title":"Default Title","offer_id":47923363151972,"sku":null,"price":1145.9,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0767\/3482\/4548\/files\/VFJ45.jpg?v=1771296044","url":"https:\/\/resilient-tec.com\/products\/vfj45-refurbished-dell-nvidia-v100-16gb-hbm2-passive-gpu","provider":"Resilient Tec, LLC","version":"1.0","type":"link"}