{"product_id":"vcnrtx5000ada-sb","title":"PNY NVIDIA RTX 5000 Ada Generation Professional Graphics Card, 32GB GDDR6 ECC, 12,800 CUDA Cores, 4x DisplayPort 1.4a, PCIe 4.0, (VCNRTX5000ADA-SB)","description":"\u003cdiv\u003e\n\u003cp style=\"font-family: Arial, sans-serif; line-height: 1.6; margin: 0 0 14px;\"\u003eThe \u003cstrong\u003ePNY NVIDIA RTX 5000 Ada Generation (VCNRTX5000ADA-SB)\u003c\/strong\u003e is a professional workstation graphics card built on the NVIDIA Ada Lovelace architecture. It combines \u003cstrong\u003e12,800 CUDA cores\u003c\/strong\u003e, \u003cstrong\u003e32GB GDDR6 ECC memory\u003c\/strong\u003e and \u003cstrong\u003e4x DisplayPort 1.4a\u003c\/strong\u003e outputs to accelerate rendering, simulation, engineering design and AI workloads.\u003c\/p\u003e\n\u003ch2 style=\"font-family: Arial, sans-serif; font-size: 18px; margin: 18px 0 8px;\"\u003eKey Features\u003c\/h2\u003e\n\u003cul style=\"font-family: Arial, sans-serif; line-height: 1.7; margin: 0 0 18px; padding-inline-start: 20px;\"\u003e\n\u003cli\u003eNVIDIA \u003cstrong\u003eAda Lovelace\u003c\/strong\u003e architecture\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e12,800 CUDA cores\u003c\/strong\u003e, 400 4th-gen Tensor Cores and 100 3rd-gen RT Cores\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e32GB GDDR6 with ECC\u003c\/strong\u003e on a 256-bit interface\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4x DisplayPort 1.4a\u003c\/strong\u003e outputs for multi-display setups\u003c\/li\u003e\n\u003cli\u003ePCI Express 4.0 x16, dual-slot blower design\u003c\/li\u003e\n\u003cli\u003e250W maximum power consumption\u003c\/li\u003e\n\u003cli\u003eCertified for leading professional CAD, DCC and visualisation applications\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 style=\"font-family: Arial, sans-serif; font-size: 18px; margin: 18px 0 8px;\"\u003eFull Specifications\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; font-family: Arial, sans-serif; margin-bottom: 20px;\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\" style=\"background: linear-gradient(90deg, rgb(106, 13, 173), rgb(214, 51, 132)); color: rgb(255, 255, 255); padding: 8px; font-weight: bold;\"\u003eGeneral\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #1a1a2e; color: #fff; font-weight: 600; white-space: nowrap;\"\u003eBrand\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003ePNY\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #1a1a2e; color: #fff; font-weight: 600; white-space: nowrap;\"\u003eGPU\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003eNVIDIA RTX 5000 Ada Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #1a1a2e; color: #fff; font-weight: 600; white-space: nowrap;\"\u003ePart Number\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003eVCNRTX5000ADA-SB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #1a1a2e; color: #fff; font-weight: 600; white-space: nowrap;\"\u003eArchitecture\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003eNVIDIA Ada Lovelace\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\" style=\"background: linear-gradient(90deg, rgb(106, 13, 173), rgb(214, 51, 132)); color: rgb(255, 255, 255); padding: 8px; font-weight: bold;\"\u003eProcessing\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #1a1a2e; color: #fff; font-weight: 600; white-space: nowrap;\"\u003eCUDA Cores\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003e12,800\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #1a1a2e; color: #fff; font-weight: 600; white-space: nowrap;\"\u003eTensor Cores\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003e400 (4th gen)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #1a1a2e; color: #fff; font-weight: 600; white-space: nowrap;\"\u003eRT Cores\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003e100 (3rd gen)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\" style=\"background: linear-gradient(90deg, rgb(106, 13, 173), rgb(214, 51, 132)); color: rgb(255, 255, 255); padding: 8px; font-weight: bold;\"\u003eMemory\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #1a1a2e; color: #fff; font-weight: 600; white-space: nowrap;\"\u003eCapacity\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003e32GB GDDR6 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #1a1a2e; color: #fff; font-weight: 600; white-space: nowrap;\"\u003eInterface\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003e256-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #1a1a2e; color: #fff; font-weight: 600; white-space: nowrap;\"\u003eBandwidth\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003e576 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\" style=\"background: linear-gradient(90deg, rgb(106, 13, 173), rgb(214, 51, 132)); color: rgb(255, 255, 255); padding: 8px; font-weight: bold;\"\u003eConnectivity\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #1a1a2e; color: #fff; font-weight: 600; white-space: nowrap;\"\u003eDisplay Outputs\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003e4x DisplayPort 1.4a\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #1a1a2e; color: #fff; font-weight: 600; white-space: nowrap;\"\u003eBus Interface\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003ePCI Express 4.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\" style=\"background: linear-gradient(90deg, rgb(106, 13, 173), rgb(214, 51, 132)); color: rgb(255, 255, 255); padding: 8px; font-weight: bold;\"\u003ePower \u0026amp; Design\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #1a1a2e; color: #fff; font-weight: 600; white-space: nowrap;\"\u003eMax Power\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003e250W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #1a1a2e; color: #fff; font-weight: 600; white-space: nowrap;\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003eDual slot, blower cooler\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003ch2 style=\"font-family: Arial, sans-serif; font-size: 18px; margin: 18px 0 8px;\"\u003eWho Is It For?\u003c\/h2\u003e\n\u003cul style=\"font-family: Arial, sans-serif; line-height: 1.7; margin: 0 0 18px; padding-inline-start: 20px;\"\u003e\n\u003cli\u003e3D artists, VFX and rendering studios\u003c\/li\u003e\n\u003cli\u003eEngineers running CAD, CAE and simulation\u003c\/li\u003e\n\u003cli\u003eAI and data-science developers\u003c\/li\u003e\n\u003cli\u003eProfessional video editors and visualisation teams\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 style=\"font-family: Arial, sans-serif; font-size: 18px; margin: 18px 0 8px;\"\u003eIn the Box\u003c\/h2\u003e\n\u003cul style=\"font-family: Arial, sans-serif; line-height: 1.7; margin: 0 0 18px; padding-inline-start: 20px;\"\u003e\n\u003cli\u003ePNY NVIDIA RTX 5000 Ada graphics card\u003c\/li\u003e\n\u003cli\u003ePower adapter cable\u003c\/li\u003e\n\u003cli\u003eDocumentation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 style=\"font-family: Arial, sans-serif; font-size: 18px; margin: 18px 0 8px;\"\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cp style=\"font-family: Arial, sans-serif; line-height: 1.6; margin: 0 0 14px;\"\u003e\u003cstrong\u003eHow much memory does it have?\u003c\/strong\u003e\u003cbr\u003e32GB of GDDR6 memory with ECC error correction.\u003c\/p\u003e\n\u003cp style=\"font-family: Arial, sans-serif; line-height: 1.6; margin: 0 0 14px;\"\u003e\u003cstrong\u003eHow many displays can I connect?\u003c\/strong\u003e\u003cbr\u003eUp to four displays via its four DisplayPort 1.4a outputs.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp style=\"font-family: Arial, sans-serif; line-height: 1.6; margin: 0 0 14px;\"\u003eOrder the PNY NVIDIA RTX 5000 Ada 32GB from \u003cstrong\u003ePC PARK\u003c\/strong\u003e with warranty and fast delivery across Saudi Arabia.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"PC PARK","offers":[{"title":"Default Title","offer_id":67861851799642,"sku":"VCNRTX5000ADA-SB","price":30118.6,"currency_code":"SAR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/9029\/1290\/files\/3080aa34-2c57-47b1-87be-69144e0b70a5.png?v=1793123010","url":"https:\/\/pcpark.sa\/en\/products\/vcnrtx5000ada-sb","provider":"PC PARK","version":"1.0","type":"link"}