{"product_id":"r0w29c-refurbished-hpe-nvidia-tesla-t4-16gb-computational-accelerator","title":"R0W29C - Refurbished - HPE NVIDIA Tesla T4 16GB Computational Accelerator","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\"\u003eThe \u003cstrong data-start=\"4\" data-end=\"58\"\u003eHPE NVIDIA Tesla T4 16GB Computational Accelerator\u003c\/strong\u003e (Part Number: \u003cstrong data-start=\"73\" data-end=\"83\"\u003eR0W29C\u003c\/strong\u003e) is a versatile, energy-efficient GPU designed for AI inference, machine learning, 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 Turing architecture, it offers a balance of performance and efficiency for data center deployments.\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=\"841\"\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 Turing\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\"\u003e2,560\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: 320\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\"\u003e585 MHz\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"358\" data-end=\"409\" class=\"\"\u003e\n\u003cp data-start=\"360\" data-end=\"409\" class=\"\"\u003e\u003cstrong data-start=\"360\" data-end=\"370\"\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 GDDR6\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"410\" data-end=\"471\" class=\"\"\u003e\n\u003cp data-start=\"412\" data-end=\"471\" class=\"\"\u003e\u003cstrong data-start=\"412\" data-end=\"432\"\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 data-start=\"472\" data-end=\"533\" class=\"\"\u003e\n\u003cp data-start=\"474\" data-end=\"533\" class=\"\"\u003e\u003cstrong data-start=\"474\" data-end=\"494\"\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\"\u003e320 GB\/s\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"534\" data-end=\"588\" class=\"\"\u003e\n\u003cp data-start=\"536\" data-end=\"588\" class=\"\"\u003e\u003cstrong data-start=\"536\" data-end=\"549\"\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 data-start=\"589\" data-end=\"647\" class=\"\"\u003e\n\u003cp data-start=\"591\" data-end=\"647\" class=\"\"\u003e\u003cstrong data-start=\"591\" data-end=\"606\"\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\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"648\" data-end=\"702\" class=\"\"\u003e\n\u003cp data-start=\"650\" data-end=\"702\" class=\"\"\u003e\u003cstrong data-start=\"650\" data-end=\"661\"\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=\"703\" data-end=\"767\" class=\"\"\u003e\n\u003cp data-start=\"705\" data-end=\"767\" class=\"\"\u003e\u003cstrong data-start=\"705\" data-end=\"726\"\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\"\u003e70W (no external power connector required)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"768\" data-end=\"841\" class=\"\"\u003e\n\u003cp data-start=\"770\" data-end=\"841\" class=\"\"\u003e\u003cstrong data-start=\"770\" data-end=\"789\"\u003eDisplay Outputs\u003c\/strong\u003e: None\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"848\" data-end=\"877\" class=\"\"\u003ePerformance Highlights\u003c\/h3\u003e\n\u003cul data-start=\"879\" data-end=\"1212\"\u003e\n\u003cli data-start=\"879\" data-end=\"949\" class=\"\"\u003e\n\u003cp data-start=\"881\" data-end=\"949\" class=\"\"\u003e\u003cstrong data-start=\"881\" data-end=\"908\"\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\"\u003e8.1 TFLOPS\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"950\" data-end=\"1018\" class=\"\"\u003e\n\u003cp data-start=\"952\" data-end=\"1018\" class=\"\"\u003e\u003cstrong data-start=\"952\" data-end=\"977\"\u003eFP16 (Half 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\"\u003e65 TFLOPS\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1019\" data-end=\"1092\" class=\"\"\u003e\n\u003cp data-start=\"1021\" data-end=\"1092\" class=\"\"\u003e\u003cstrong data-start=\"1021\" data-end=\"1051\"\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\"\u003e130 TOPS\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1093\" data-end=\"1212\" class=\"\"\u003e\n\u003cp data-start=\"1095\" data-end=\"1212\" class=\"\"\u003e\u003cstrong data-start=\"1095\" data-end=\"1125\"\u003eINT4 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\"\u003e260 TOPS\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"1306\" data-end=\"1338\" class=\"\"\u003eCompatibility \u0026amp; Deployment\u003c\/h3\u003e\n\u003cp data-start=\"1340\" data-end=\"1465\" 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 T4 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=\"1467\" data-end=\"1764\"\u003e\n\u003cli data-start=\"1467\" data-end=\"1508\" class=\"\"\u003e\n\u003cp data-start=\"1469\" data-end=\"1508\" 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 Gen10\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1509\" data-end=\"1550\" class=\"\"\u003e\n\u003cp data-start=\"1511\" data-end=\"1550\" 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 Gen10\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1551\" data-end=\"1592\" class=\"\"\u003e\n\u003cp data-start=\"1553\" data-end=\"1592\" 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 DL385 Gen10\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1593\" data-end=\"1634\" class=\"\"\u003e\n\u003cp data-start=\"1595\" data-end=\"1634\" 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 DL325 Gen10\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1635\" data-end=\"1676\" class=\"\"\u003e\n\u003cp data-start=\"1637\" data-end=\"1676\" class=\"\"\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eHPE ML350 Gen10\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1677\" data-end=\"1764\" class=\"\"\u003e\n\u003cp data-start=\"1679\" data-end=\"1764\" class=\"\"\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\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1766\" data-end=\"1851\" 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":47923362988132,"sku":null,"price":2200.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0767\/3482\/4548\/files\/ROW29C.jpg?v=1771296039","url":"https:\/\/resilient-tec.com\/products\/r0w29c-refurbished-hpe-nvidia-tesla-t4-16gb-computational-accelerator","provider":"Resilient Tec, LLC","version":"1.0","type":"link"}