{"product_id":"nvidia-a2-ampere-16gb-gddr6-graphic-card-pg179-900-2g179-2720-001","title":"NVIDIA A2 Ampere 16GB GDDR6 Graphic Card PG179 900-2G179-2720-001","description":"\u003ch2 data-end=\"328\" data-start=\"232\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"328\" data-start=\"235\"\u003eNVIDIA A2 Ampere 16GB GDDR6 GPU Accelerator | PG179 | 900-2G179-2720-001\u003c\/strong\u003e\u003c\/h2\u003e\n\n\u003cp data-end=\"703\" data-start=\"330\" style=\"text-align: justify;\"\u003eThe \u003cstrong data-end=\"377\" data-start=\"334\"\u003eNVIDIA A2 Ampere GPU Accelerator\u003c\/strong\u003e is a compact, power-efficient \u003cstrong data-end=\"427\" data-start=\"408\"\u003eTensor Core GPU\u003c\/strong\u003e engineered for \u003cstrong data-end=\"517\" data-start=\"443\"\u003eAI inference, edge computing, and virtual desktop infrastructure (VDI)\u003c\/strong\u003e deployments. Built on \u003cstrong data-end=\"572\" data-start=\"540\"\u003eNVIDIA’s Ampere architecture\u003c\/strong\u003e, the A2 delivers exceptional performance-per-watt, making it ideal for dense server environments and low-power enterprise systems.\u003c\/p\u003e\n\n\u003cp data-end=\"968\" data-start=\"705\" style=\"text-align: justify;\"\u003eIdentified by NVIDIA part numbers \u003cstrong data-end=\"759\" data-start=\"750\"\u003ePG179\u003c\/strong\u003e, and \u003cstrong data-end=\"800\" data-start=\"778\"\u003e900-2G179-2720-001\u003c\/strong\u003e, this professional-grade accelerator provides \u003cstrong data-end=\"885\" data-start=\"847\"\u003e16GB of ECC-protected GDDR6 memory\u003c\/strong\u003e and advanced Tensor Core acceleration without requiring external power connectors.\u003c\/p\u003e\n\n\u003chr data-end=\"973\" data-start=\"970\"\u003e\n\u003ch3 data-end=\"1001\" data-start=\"975\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1001\" data-start=\"979\"\u003eKey Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"1257\" data-start=\"1003\"\u003e\n\t\u003cli data-end=\"1042\" data-start=\"1003\"\u003e\n\t\u003cp data-end=\"1042\" data-start=\"1005\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1026\" data-start=\"1005\"\u003eGPU Architecture:\u003c\/strong\u003e NVIDIA Ampere\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1068\" data-start=\"1043\"\u003e\n\t\u003cp data-end=\"1068\" data-start=\"1045\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1060\" data-start=\"1045\"\u003eCUDA Cores:\u003c\/strong\u003e 1,280\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1110\" data-start=\"1069\"\u003e\n\t\u003cp data-end=\"1110\" data-start=\"1071\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1088\" data-start=\"1071\"\u003eTensor Cores:\u003c\/strong\u003e 40 (3rd Generation)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1148\" data-start=\"1111\"\u003e\n\t\u003cp data-end=\"1148\" data-start=\"1113\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1126\" data-start=\"1113\"\u003eRT Cores:\u003c\/strong\u003e 10 (2nd Generation)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1188\" data-start=\"1149\"\u003e\n\t\u003cp data-end=\"1188\" data-start=\"1151\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1166\" data-start=\"1151\"\u003eGPU Memory:\u003c\/strong\u003e 16GB GDDR6 with ECC\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1222\" data-start=\"1189\"\u003e\n\t\u003cp data-end=\"1222\" data-start=\"1191\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1212\" data-start=\"1191\"\u003eMemory Interface:\u003c\/strong\u003e 128-bit\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1257\" data-start=\"1223\"\u003e\n\t\u003cp data-end=\"1257\" data-start=\"1225\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1246\" data-start=\"1225\"\u003eMemory Bandwidth:\u003c\/strong\u003e 200 GB\/s\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"1262\" data-start=\"1259\"\u003e\n\u003ch3 data-end=\"1294\" data-start=\"1264\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1294\" data-start=\"1268\"\u003ePerformance Highlights\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"1621\" data-start=\"1296\"\u003e\n\t\u003cli data-end=\"1343\" data-start=\"1296\"\u003e\n\t\u003cp data-end=\"1343\" data-start=\"1298\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1324\" data-start=\"1298\"\u003ePeak FP32 Performance:\u003c\/strong\u003e Up to 4.5 TFLOPS\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1417\" data-start=\"1344\"\u003e\n\t\u003cp data-end=\"1417\" data-start=\"1346\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1374\" data-start=\"1346\"\u003eTF32 Tensor Performance:\u003c\/strong\u003e Up to 9 TFLOPS (18 TFLOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1492\" data-start=\"1418\"\u003e\n\t\u003cp data-end=\"1492\" data-start=\"1420\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1448\" data-start=\"1420\"\u003eFP16 Tensor Performance:\u003c\/strong\u003e Up to 18 TFLOPS (36 TFLOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1556\" data-start=\"1493\"\u003e\n\t\u003cp data-end=\"1556\" data-start=\"1495\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1516\" data-start=\"1495\"\u003eINT8 Performance:\u003c\/strong\u003e Up to 36 TOPS (72 TOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1621\" data-start=\"1557\"\u003e\n\t\u003cp data-end=\"1621\" data-start=\"1559\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1580\" data-start=\"1559\"\u003eINT4 Performance:\u003c\/strong\u003e Up to 72 TOPS (144 TOPS with sparsity)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"1626\" data-start=\"1623\"\u003e\n\u003ch3 data-end=\"1660\" data-start=\"1628\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1660\" data-start=\"1632\"\u003ePhysical \u0026amp; Power Details\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"2030\" data-start=\"1662\"\u003e\n\t\u003cli data-end=\"1744\" data-start=\"1662\"\u003e\n\t\u003cp data-end=\"1744\" data-start=\"1664\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1680\" data-start=\"1664\"\u003eForm Factor:\u003c\/strong\u003e Single-slot, low-profile PCIe (full-height bracket supported)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1775\" data-start=\"1745\"\u003e\n\t\u003cp data-end=\"1775\" data-start=\"1747\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1761\" data-start=\"1747\"\u003eInterface:\u003c\/strong\u003e PCIe 4.0 x8\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1815\" data-start=\"1776\"\u003e\n\t\u003cp data-end=\"1815\" data-start=\"1778\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1805\" data-start=\"1778\"\u003eInterconnect Bandwidth:\u003c\/strong\u003e 32 GB\/s\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1875\" data-start=\"1816\"\u003e\n\t\u003cp data-end=\"1875\" data-start=\"1818\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1830\" data-start=\"1818\"\u003eCooling:\u003c\/strong\u003e Passive heatsink (requires server airflow)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1927\" data-start=\"1876\"\u003e\n\t\u003cp data-end=\"1927\" data-start=\"1878\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1900\" data-start=\"1878\"\u003ePower Consumption:\u003c\/strong\u003e Configurable 40W–60W TDP\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"1981\" data-start=\"1928\"\u003e\n\t\u003cp data-end=\"1981\" data-start=\"1930\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"1950\" data-start=\"1930\"\u003ePower Connector:\u003c\/strong\u003e None required (slot-powered)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2030\" data-start=\"1982\"\u003e\n\t\u003cp data-end=\"2030\" data-start=\"1984\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2004\" data-start=\"1984\"\u003eDisplay Outputs:\u003c\/strong\u003e None (compute-only GPU)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"2035\" data-start=\"2032\"\u003e\n\u003ch3 data-end=\"2075\" data-start=\"2037\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2075\" data-start=\"2041\"\u003eEnterprise Features \u0026amp; Benefits\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"2365\" data-start=\"2077\"\u003e\n\t\u003cli data-end=\"2130\" data-start=\"2077\"\u003e\n\t\u003cp data-end=\"2130\" data-start=\"2079\" style=\"text-align: justify;\"\u003eOptimized for \u003cstrong data-end=\"2128\" data-start=\"2093\"\u003eAI inference and edge workloads\u003c\/strong\u003e\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2191\" data-start=\"2131\"\u003e\n\t\u003cp data-end=\"2191\" data-start=\"2133\" style=\"text-align: justify;\"\u003eExcellent \u003cstrong data-end=\"2167\" data-start=\"2143\"\u003eperformance per watt\u003c\/strong\u003e for dense deployments\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2237\" data-start=\"2192\"\u003e\n\t\u003cp data-end=\"2237\" data-start=\"2194\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2216\" data-start=\"2194\"\u003eECC memory support\u003c\/strong\u003e for data integrity\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2308\" data-start=\"2238\"\u003e\n\t\u003cp data-end=\"2308\" data-start=\"2240\" style=\"text-align: justify;\"\u003eIdeal for \u003cstrong data-end=\"2306\" data-start=\"2250\"\u003eVDI, machine learning, analytics, and cloud services\u003c\/strong\u003e\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2365\" data-start=\"2309\"\u003e\n\t\u003cp data-end=\"2365\" data-start=\"2311\" style=\"text-align: justify;\"\u003eCertified for \u003cstrong data-end=\"2363\" data-start=\"2325\"\u003eLenovo enterprise server platforms\u003c\/strong\u003e\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"2370\" data-start=\"2367\"\u003e\n\u003ch3 data-end=\"2395\" data-start=\"2372\" style=\"text-align: justify;\"\u003e\u003cstrong data-end=\"2395\" data-start=\"2376\"\u003eIdeal Use Cases\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cul data-end=\"2612\" data-start=\"2397\"\u003e\n\t\u003cli data-end=\"2434\" data-start=\"2397\"\u003e\n\t\u003cp data-end=\"2434\" data-start=\"2399\" style=\"text-align: justify;\"\u003eAI and machine learning inference\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2475\" data-start=\"2435\"\u003e\n\t\u003cp data-end=\"2475\" data-start=\"2437\" style=\"text-align: justify;\"\u003eVirtual desktop infrastructure (VDI)\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2512\" data-start=\"2476\"\u003e\n\t\u003cp data-end=\"2512\" data-start=\"2478\" style=\"text-align: justify;\"\u003eEdge computing and IoT analytics\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2570\" data-start=\"2513\"\u003e\n\t\u003cp data-end=\"2570\" data-start=\"2515\" style=\"text-align: justify;\"\u003eEnterprise virtualization and containerized workloads\u003c\/p\u003e\n\t\u003c\/li\u003e\n\t\u003cli data-end=\"2612\" data-start=\"2571\"\u003e\n\t\u003cp data-end=\"2612\" data-start=\"2573\" style=\"text-align: justify;\"\u003ePower-constrained server environments\u003c\/p\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr data-end=\"2617\" data-start=\"2614\"\u003e\n\u003cp data-end=\"2897\" data-is-last-node=\"\" data-is-only-node=\"\" data-start=\"2619\" style=\"text-align: justify;\"\u003eThe \u003cstrong data-end=\"2698\" data-start=\"2623\"\u003eNVIDIA A2 Ampere 16GB GPU (PG179 \/ 03GX831 \/ 900-2G179-2720-001)\u003c\/strong\u003e delivers \u003cstrong data-end=\"2782\" data-start=\"2708\"\u003eenterprise-class AI acceleration in a compact, energy-efficient design\u003c\/strong\u003e, making it a smart choice for organizations seeking scalable AI performance without high power or cooling demands.\u003c\/p\u003e\n","brand":"Dell","offers":[{"title":"Default Title","offer_id":55469074546761,"sku":"03GX831-NVIDIA","price":474.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/3868\/3209\/files\/391dd2af-2bdd-5a48-ac85-61ebb1b60da6_86dcb049-4f55-4e1f-9151-ecc71cbc9bec.png?v=1770051010","url":"https:\/\/parts.theserverstore.com\/products\/nvidia-a2-ampere-16gb-gddr6-graphic-card-pg179-900-2g179-2720-001","provider":"The Server Store Parts","version":"1.0","type":"link"}