{"product_id":"q0v79a-refurbished-hpe-nvidia-tesla-p4-8gb-computational-accelerator","title":"Q0V79A - Refurbished - HPE NVIDIA Tesla P4 8GB Computational Accelerator GPU","description":"\u003cp\u003eCondition: Refurbished\u003c\/p\u003e\n\u003cp\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003e\u003cstrong data-end=\"57\" data-start=\"4\"\u003eHPE NVIDIA Tesla P4 8GB Computational Accelerator\u003c\/strong\u003e (Part Number: \u003cstrong data-end=\"82\" data-start=\"72\"\u003eQ0V79A\u003c\/strong\u003e) is a low-profile, passively cooled GPU designed for AI inference, video processing, and virtual desktop infrastructure (VDI) workloads.\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 Pascal architecture, it offers efficient performance for data center environments.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 class=\"\" data-end=\"158\" data-start=\"133\"\u003eSpecifications\u003c\/h3\u003e\n\u003cul data-end=\"876\" data-start=\"160\"\u003e\n\u003cli class=\"\" data-end=\"221\" data-start=\"160\"\u003e\n\u003cp class=\"\" data-end=\"221\" data-start=\"162\"\u003e\u003cstrong data-end=\"182\" data-start=\"162\"\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 Pascal (GP104)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli class=\"\" data-end=\"277\" data-start=\"222\"\u003e\n\u003cp class=\"\" data-end=\"277\" data-start=\"224\"\u003e\u003cstrong data-end=\"238\" data-start=\"224\"\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\"\u003e2,560\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli class=\"\" data-end=\"333\" data-start=\"278\"\u003e\n\u003cp class=\"\" data-end=\"333\" data-start=\"280\"\u003e\u003cstrong data-end=\"294\" data-start=\"280\"\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\"\u003e886 MHz\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli class=\"\" data-end=\"390\" data-start=\"334\"\u003e\n\u003cp class=\"\" data-end=\"390\" data-start=\"336\"\u003e\u003cstrong data-end=\"351\" data-start=\"336\"\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\"\u003e1,114 MHz\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli class=\"\" data-end=\"442\" data-start=\"391\"\u003e\n\u003cp class=\"\" data-end=\"442\" data-start=\"393\"\u003e\u003cstrong data-end=\"403\" data-start=\"393\"\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\"\u003e8 GB GDDR5\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli class=\"\" data-end=\"504\" data-start=\"443\"\u003e\n\u003cp class=\"\" data-end=\"504\" data-start=\"445\"\u003e\u003cstrong data-end=\"465\" data-start=\"445\"\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\"\u003e256-bit\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli class=\"\" data-end=\"566\" data-start=\"505\"\u003e\n\u003cp class=\"\" data-end=\"566\" data-start=\"507\"\u003e\u003cstrong data-end=\"527\" data-start=\"507\"\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\"\u003e192 GB\/s\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli class=\"\" data-end=\"623\" data-start=\"567\"\u003e\n\u003cp class=\"\" data-end=\"623\" data-start=\"569\"\u003e\u003cstrong data-end=\"582\" data-start=\"569\"\u003eInterface\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003ePCI Express 3.0 x16\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli class=\"\" data-end=\"682\" data-start=\"624\"\u003e\n\u003cp class=\"\" data-end=\"682\" data-start=\"626\"\u003e\u003cstrong data-end=\"641\" data-start=\"626\"\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\"\u003eLow-profile, single-slot (16.7 cm x 5.3 cm)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli class=\"\" data-end=\"737\" data-start=\"683\"\u003e\n\u003cp class=\"\" data-end=\"737\" data-start=\"685\"\u003e\u003cstrong data-end=\"696\" data-start=\"685\"\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 class=\"\" data-end=\"802\" data-start=\"738\"\u003e\n\u003cp class=\"\" data-end=\"802\" data-start=\"740\"\u003e\u003cstrong data-end=\"761\" data-start=\"740\"\u003ePower Consumption\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003e75W (no external power connector required)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli class=\"\" data-end=\"876\" data-start=\"803\"\u003e\n\u003cp class=\"\" data-end=\"876\" data-start=\"805\"\u003e\u003cstrong data-end=\"824\" data-start=\"805\"\u003eDisplay Outputs\u003c\/strong\u003e: None\u003c\/p\u003e\n\u003ch3 class=\"\" data-end=\"912\" data-start=\"883\"\u003ePerformance Highlights\u003c\/h3\u003e\n\u003cul data-end=\"1239\" data-start=\"914\"\u003e\n\u003cli class=\"\" data-end=\"984\" data-start=\"914\"\u003e\n\u003cp class=\"\" data-end=\"984\" data-start=\"916\"\u003e\u003cstrong data-end=\"943\" data-start=\"916\"\u003eFP32 (Single Precision)\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003e5.5 TFLOPS\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli class=\"\" data-end=\"1055\" data-start=\"985\"\u003e\n\u003cp class=\"\" data-end=\"1055\" data-start=\"987\"\u003e\u003cstrong data-end=\"1014\" data-start=\"987\"\u003eFP64 (Double Precision)\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003e178.2 GFLOPS\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli class=\"\" data-end=\"1129\" data-start=\"1056\"\u003e\n\u003cp class=\"\" data-end=\"1129\" data-start=\"1058\"\u003e\u003cstrong data-end=\"1088\" data-start=\"1058\"\u003eINT8 Inference 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\"\u003eUp to 130 TOPS\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli class=\"\" data-end=\"1239\" data-start=\"1130\"\u003e\n\u003cp class=\"\" data-end=\"1239\" data-start=\"1132\"\u003e\u003cstrong data-end=\"1152\" data-start=\"1132\"\u003eVideo Processing\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eCapable of transcoding and inferencing up to 35 HD video streams in real time\u003c\/span\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003e\u003c\/span\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"1333\" data-end=\"1365\" class=\"\"\u003eCompatibility \u0026amp; Deployment\u003c\/h3\u003e\n\u003cp data-start=\"1367\" data-end=\"1492\" 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 P4 is compatible with systems that have a PCIe 3.0 x16 slot and sufficient airflow for passive cooling.\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\u003c\/p\u003e\n\u003cul data-start=\"1494\" data-end=\"1623\"\u003e\n\u003cli data-start=\"1494\" data-end=\"1535\" class=\"\"\u003e\n\u003cp data-start=\"1496\" data-end=\"1535\" class=\"\"\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eHPE ProLiant DL360 Gen9\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1536\" data-end=\"1623\" class=\"\"\u003e\n\u003cp data-start=\"1538\" data-end=\"1623\" class=\"\"\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eHPE ProLiant DL380 Gen9\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"ShopITgear","offers":[{"title":"Default Title","offer_id":47923363086436,"sku":null,"price":1295.45,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0767\/3482\/4548\/files\/Q0V79A.jpg?v=1771296042","url":"https:\/\/resilient-tec.com\/products\/q0v79a-refurbished-hpe-nvidia-tesla-p4-8gb-computational-accelerator","provider":"Resilient Tec, LLC","version":"1.0","type":"link"}