{"product_id":"hckjm-pg183-7ph29-ppgxg-refurbished-dell-nvidia-tesla-t4-16gb-passive-gpu","title":"HCKJM (PG183, 7PH29, PPGXG) - Refurbished - Dell NVIDIA Tesla T4 16GB Passive GPU","description":"\u003cp\u003eCondition: Refurbished\u003c\/p\u003e\n\u003cp\u003eAlternate Part Numbers: PG183 , 7PH29 , PPGXG\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=\"45\"\u003eDell NVIDIA Tesla T4 16GB Passive GPU\u003c\/strong\u003e (Dell Part Number: HCKJM \/ 7PH29) is a high-efficiency, single-slot accelerator 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 delivers strong performance in a compact, low-power form factor.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch3 data-start=\"133\" data-end=\"158\" class=\"\"\u003eSpecifications\u003c\/h3\u003e\n\u003cul data-start=\"160\" data-end=\"901\"\u003e\n\u003cli data-start=\"160\" data-end=\"217\" class=\"\"\u003e\n\u003cp data-start=\"162\" data-end=\"217\" class=\"\"\u003e\u003cstrong data-start=\"162\" data-end=\"178\"\u003eArchitecture\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 (TU104 GPU)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"218\" data-end=\"273\" class=\"\"\u003e\n\u003cp data-start=\"220\" data-end=\"273\" class=\"\"\u003e\u003cstrong data-start=\"220\" data-end=\"234\"\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=\"274\" data-end=\"297\" class=\"\"\u003e\n\u003cp data-start=\"276\" data-end=\"297\" class=\"\"\u003e\u003cstrong data-start=\"276\" data-end=\"292\"\u003eTensor Cores\u003c\/strong\u003e: 320\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"298\" data-end=\"353\" class=\"\"\u003e\n\u003cp data-start=\"300\" data-end=\"353\" class=\"\"\u003e\u003cstrong data-start=\"300\" data-end=\"314\"\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=\"354\" data-end=\"410\" class=\"\"\u003e\n\u003cp data-start=\"356\" data-end=\"410\" class=\"\"\u003e\u003cstrong data-start=\"356\" data-end=\"371\"\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\"\u003e1,590 MHz\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"411\" data-end=\"462\" class=\"\"\u003e\n\u003cp data-start=\"413\" data-end=\"462\" class=\"\"\u003e\u003cstrong data-start=\"413\" data-end=\"423\"\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 with ECC\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"463\" data-end=\"524\" class=\"\"\u003e\n\u003cp data-start=\"465\" data-end=\"524\" class=\"\"\u003e\u003cstrong data-start=\"465\" data-end=\"485\"\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=\"525\" data-end=\"586\" class=\"\"\u003e\n\u003cp data-start=\"527\" data-end=\"586\" class=\"\"\u003e\u003cstrong data-start=\"527\" data-end=\"547\"\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 320 GB\/s\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"587\" data-end=\"648\" class=\"\"\u003e\n\u003cp data-start=\"589\" data-end=\"648\" class=\"\"\u003e\u003cstrong data-start=\"589\" data-end=\"607\"\u003ePCIe 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=\"649\" data-end=\"713\" class=\"\"\u003e\n\u003cp data-start=\"651\" data-end=\"713\" class=\"\"\u003e\u003cstrong data-start=\"651\" data-end=\"672\"\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=\"714\" data-end=\"768\" class=\"\"\u003e\n\u003cp data-start=\"716\" data-end=\"768\" class=\"\"\u003e\u003cstrong data-start=\"716\" data-end=\"727\"\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=\"769\" data-end=\"827\" class=\"\"\u003e\n\u003cp data-start=\"771\" data-end=\"827\" class=\"\"\u003e\u003cstrong data-start=\"771\" data-end=\"786\"\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\"\u003eSingle-slot, full-height, half-length (FHHL)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"908\" data-end=\"934\" class=\"\"\u003ePerformance Metrics\u003c\/h3\u003e\n\u003cul data-start=\"936\" data-end=\"1225\"\u003e\n\u003cli data-start=\"936\" data-end=\"1006\" class=\"\"\u003e\n\u003cp data-start=\"938\" data-end=\"1006\" class=\"\"\u003e\u003cstrong data-start=\"938\" data-end=\"965\"\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=\"1007\" data-end=\"1075\" class=\"\"\u003e\n\u003cp data-start=\"1009\" data-end=\"1075\" class=\"\"\u003e\u003cstrong data-start=\"1009\" data-end=\"1034\"\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=\"1076\" data-end=\"1127\" class=\"\"\u003e\n\u003cp data-start=\"1078\" data-end=\"1127\" class=\"\"\u003e\u003cstrong data-start=\"1078\" data-end=\"1086\"\u003eINT8\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=\"1128\" data-end=\"1225\" class=\"\"\u003e\n\u003cp data-start=\"1130\" data-end=\"1225\" class=\"\"\u003e\u003cstrong data-start=\"1130\" data-end=\"1138\"\u003eINT4\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\u003cp data-start=\"1227\" data-end=\"1312\" class=\"\"\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eThese metrics make the Tesla T4 suitable for tasks such as AI inference, real-time analytics, and video processing.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"1319\" data-end=\"1338\" class=\"\"\u003eCompatibility\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=\"1638\"\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\"\u003eDell PowerEdge R640, R740, R7525\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\"\u003eDell C6520, C6525\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1551\" data-end=\"1638\" class=\"\"\u003e\n\u003cp data-start=\"1553\" data-end=\"1638\" class=\"\"\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eDell XR12\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1640\" data-end=\"1725\" class=\"\"\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eEnsure your system supports the card's power and cooling requirements before installation.\u003c\/span\u003e\u003c\/p\u003e","brand":"ShopITgear","offers":[{"title":"Default Title","offer_id":47923363184740,"sku":null,"price":979.9,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0767\/3482\/4548\/files\/HCKJM.jpg?v=1771296045","url":"https:\/\/resilient-tec.com\/products\/hckjm-pg183-7ph29-ppgxg-refurbished-dell-nvidia-tesla-t4-16gb-passive-gpu","provider":"Resilient Tec, LLC","version":"1.0","type":"link"}