{"product_id":"q0v80a-refurbished-hpe-nvidia-tesla-p40-24gb-computational-accelerator","title":"Q0V80A\t- Refurbished - HPE NVIDIA Tesla P40 24GB Computational Accelerator","description":"\u003cp\u003eCondition: Refurbished\u003c\/p\u003e\n\u003cp\u003eRequires 8P Keyed Cable Kit (871829-B21)\u003c\/p\u003e\n\u003cp\u003e\u003cstrong data-end=\"59\" data-start=\"4\"\u003eHPE NVIDIA Tesla P40 24GB Computational Accelerator\u003c\/strong\u003e (Part Number: \u003cstrong data-end=\"84\" data-start=\"74\"\u003eQ0V80A\u003c\/strong\u003e) is a high-performance GPU designed for data center applications such as deep learning inference, machine learning, and high-performance computing (HPC). It leverages NVIDIA's Pascal architecture and is optimized for inference workloads.\u003c\/p\u003e\n\u003ch3 class=\"\" data-end=\"158\" data-start=\"133\"\u003eSpecifications\u003c\/h3\u003e\n\u003cul data-end=\"899\" 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 (GP102)\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\"\u003e3,840\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\"\u003e1,300 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\"\u003e1,530 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\"\u003e24 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\"\u003e384-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\"\u003e346 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\"\u003eDual-slot\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\"\u003e250W (1x 8-pin PCIe power connector)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli class=\"\" data-end=\"825\" data-start=\"803\"\u003e\n\u003cp class=\"\" data-end=\"825\" data-start=\"805\"\u003e\u003cstrong data-end=\"820\" data-start=\"805\"\u003eECC Support\u003c\/strong\u003e: Yes\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli class=\"\" data-end=\"899\" data-start=\"826\"\u003e\n\u003cp class=\"\" data-end=\"899\" data-start=\"828\"\u003e\u003cstrong data-end=\"847\" data-start=\"828\"\u003eDisplay Outputs\u003c\/strong\u003e: None\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 class=\"\" data-end=\"935\" data-start=\"906\"\u003ePerformance Highlights\u003c\/h3\u003e\n\u003cul data-end=\"1198\" data-start=\"937\"\u003e\n\u003cli class=\"\" data-end=\"1007\" data-start=\"937\"\u003e\n\u003cp class=\"\" data-end=\"1007\" data-start=\"939\"\u003e\u003cstrong data-end=\"966\" data-start=\"939\"\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\"\u003e11.7 TFLOPS\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli class=\"\" data-end=\"1078\" data-start=\"1008\"\u003e\n\u003cp class=\"\" data-end=\"1078\" data-start=\"1010\"\u003e\u003cstrong data-end=\"1037\" data-start=\"1010\"\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\"\u003e367 GFLOPS\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli class=\"\" data-end=\"1198\" data-start=\"1079\"\u003e\n\u003cp class=\"\" data-end=\"1198\" data-start=\"1081\"\u003e\u003cstrong data-end=\"1111\" data-start=\"1081\"\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\"\u003e47 TOPS\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 class=\"\" data-end=\"1326\" data-start=\"1292\"\u003eCompatibility \u0026amp; Deployment\u003c\/h3\u003e\n\u003cp class=\"\" data-end=\"1453\" data-start=\"1328\"\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eThe Tesla P40 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-end=\"1668\" data-start=\"1455\"\u003e\n\u003cli class=\"\" data-end=\"1496\" data-start=\"1455\"\u003e\n\u003cp class=\"\" data-end=\"1496\" data-start=\"1457\"\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eHPE Apollo pc40\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli class=\"\" data-end=\"1538\" data-start=\"1497\"\u003e\n\u003cp class=\"\" data-end=\"1538\" data-start=\"1499\"\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\u003cli class=\"\" data-end=\"1580\" data-start=\"1539\"\u003e\n\u003cp class=\"\" data-end=\"1580\" data-start=\"1541\"\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eHPE ProLiant XL190r Gen9\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli class=\"\" data-end=\"1668\" data-start=\"1581\"\u003e\n\u003cp class=\"\" data-end=\"1668\" data-start=\"1583\"\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eHPE Synergy 480 Gen10\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","brand":"ShopITgear","offers":[{"title":"Default Title","offer_id":47923362955364,"sku":null,"price":2349.85,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0767\/3482\/4548\/files\/QOV80A.jpg?v=1771296038","url":"https:\/\/resilient-tec.com\/products\/q0v80a-refurbished-hpe-nvidia-tesla-p40-24gb-computational-accelerator","provider":"Resilient Tec, LLC","version":"1.0","type":"link"}