{"product_id":"vcnrtx6000ada-pb","title":"PNY NVIDIA RTX 6000 Ada Generation 48GB GDDR6 ECC Graphics Card, 18176 CUDA Cores, PCIe 4.0 x16 (VCNRTX6000ADA-PB)","description":"\u003cdiv\u003e\n\u003cp style=\"font-family: Arial, sans-serif; line-height: 1.6; margin: 0 0 14px;\"\u003eThe \u003cstrong\u003ePNY NVIDIA RTX 6000 Ada Generation (VCNRTX6000ADA-PB)\u003c\/strong\u003e is a professional workstation graphics card built on the \u003cstrong\u003eNVIDIA Ada Lovelace\u003c\/strong\u003e architecture with \u003cstrong\u003e18,176 CUDA cores\u003c\/strong\u003e, \u003cstrong\u003e48GB GDDR6 memory with ECC\u003c\/strong\u003e, a \u003cstrong\u003e384-bit\u003c\/strong\u003e memory interface delivering \u003cstrong\u003e960 GB\/s\u003c\/strong\u003e, and \u003cstrong\u003ePCI Express 4.0 x16\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp style=\"font-family: Arial, sans-serif; line-height: 1.6; margin: 0 0 14px;\"\u003eIt is designed for AI development, data science, real-time rendering, simulation and large 3D and video projects, giving engineers, designers and researchers a large ECC-protected frame buffer in a dual-slot card with 300W maximum power.\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\u003e\n\u003cstrong\u003eNVIDIA Ada Lovelace architecture\u003c\/strong\u003e with 18,176 CUDA cores\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e568 fourth-generation Tensor Cores\u003c\/strong\u003e for AI training and inference\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e142 third-generation RT Cores\u003c\/strong\u003e for real-time ray-traced rendering\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e48GB GDDR6 with ECC\u003c\/strong\u003e for very large models, scenes and datasets\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e960 GB\/s memory bandwidth\u003c\/strong\u003e on a 384-bit interface\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e91.1 TFLOPS single-precision\u003c\/strong\u003e peak performance\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4x DisplayPort 1.4a\u003c\/strong\u003e: up to four 5K monitors @ 60Hz or dual 8K displays @ 60Hz\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual-slot blower design\u003c\/strong\u003e with 300W maximum power via 1x PCIe CEM5 16-pin\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA RTX Virtual Workstation (vWS)\u003c\/strong\u003e and vPC\/vApps support\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;\"\u003eModel\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003eNVIDIA RTX 6000 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;\"\u003eVCNRTX6000ADA-PB\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\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #1a1a2e; color: #fff; font-weight: 600; white-space: nowrap;\"\u003eGraphics Bus\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;\"\u003ePerformance\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;\"\u003e18,176\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;\"\u003e568 (4th 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;\"\u003eRT Cores\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003e142 (3rd 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;\"\u003eSingle-Precision Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003e91.1 TFLOPS\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 Core Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003e210.6 TFLOPS\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 Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003e1457.0 TFLOPS (FP8 with sparsity)\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;\"\u003eMemory\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003e48GB 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;\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003e384-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;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003e960 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;\"\u003eDisplay\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 Connectors\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;\"\u003eDisplay Support\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003eUp to four 5K @ 60Hz or dual 8K @ 60Hz\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; Physical\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 Consumption\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003e300W\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;\"\u003ePower Connector\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003e1x PCIe CEM5 16-pin\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, 4.4\" H x 10.5\" L\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;\"\u003eThermal Solution\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003eActive (blower fan)\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;\"\u003eWeight\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003e1.18 kg\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;\"\u003eNVLink\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003eNot supported\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;\"\u003eSoftware \u0026amp; Warranty\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;\"\u003eVirtualization\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003eNVIDIA vPC\/vApps, NVIDIA RTX vWS\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;\"\u003eOperating Systems\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003eWindows 10\/11 64-bit, Linux, FreeBSD, Solaris\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;\"\u003eManufacturer Warranty\u003c\/td\u003e\n\u003ctd style=\"padding: 6px 8px; border-bottom: 1px solid #ddd; background: #16213e; color: #fff;\"\u003e3-year limited warranty (PNY)\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 This 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\u003eAI and machine learning developers training and running large models locally\u003c\/li\u003e\n\u003cli\u003e3D artists, architects and product designers using real-time ray-traced rendering\u003c\/li\u003e\n\u003cli\u003eEngineers running simulation and CAE workloads that need ECC memory\u003c\/li\u003e\n\u003cli\u003eVideo and VFX studios working with 8K footage and multi-display setups\u003c\/li\u003e\n\u003cli\u003eData scientists processing very large datasets on GPU\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 style=\"font-family: Arial, sans-serif; font-size: 18px; margin: 18px 0 8px;\"\u003eHow It Compares\u003c\/h2\u003e\n\u003cp style=\"font-family: Arial, sans-serif; line-height: 1.6; margin: 0 0 14px;\"\u003eThe previous-generation NVIDIA RTX A6000 (Ampere) also offers 48GB of ECC GDDR6, while the RTX 6000 Ada Generation moves to the Ada Lovelace architecture with 18,176 CUDA cores, fourth-generation Tensor Cores and 960 GB\/s memory bandwidth.\u003c\/p\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 6000 Ada Generation graphics card\u003c\/li\u003e\n\u003cli\u003eAuxiliary power adapter cable\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 style=\"font-family: Arial, sans-serif; font-size: 18px; margin: 18px 0 8px;\"\u003eWhy Buy from PC PARK?\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\u003e100% original product with official warranty\u003c\/li\u003e\n\u003cli\u003eDelivery to all regions of Saudi Arabia (Riyadh, Jeddah, Dammam and more)\u003c\/li\u003e\n\u003cli\u003eSecure online checkout\u003c\/li\u003e\n\u003cli\u003ePre- and after-sales support from the PC PARK team\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\u003cdiv\u003e\u003cp style=\"font-family: Arial, sans-serif; line-height: 1.6; margin: 0 0 14px;\"\u003e\u003cstrong\u003eHow much memory does the PNY RTX 6000 Ada (VCNRTX6000ADA-PB) have?\u003c\/strong\u003e\u003cbr\u003eIt has 48GB of GDDR6 memory with ECC on a 384-bit interface and 960 GB\/s bandwidth.\u003c\/p\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cp style=\"font-family: Arial, sans-serif; line-height: 1.6; margin: 0 0 14px;\"\u003e\u003cstrong\u003eHow many CUDA cores does the RTX 6000 Ada Generation have?\u003c\/strong\u003e\u003cbr\u003eIt has 18,176 CUDA cores, 568 Tensor Cores and 142 RT Cores.\u003c\/p\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cp style=\"font-family: Arial, sans-serif; line-height: 1.6; margin: 0 0 14px;\"\u003e\u003cstrong\u003eIs the RTX 6000 Ada the same as the RTX A6000?\u003c\/strong\u003e\u003cbr\u003eNo. The RTX A6000 is the previous Ampere generation; the RTX 6000 Ada Generation uses the newer Ada Lovelace architecture.\u003c\/p\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cp style=\"font-family: Arial, sans-serif; line-height: 1.6; margin: 0 0 14px;\"\u003e\u003cstrong\u003eWhat power does the RTX 6000 Ada need?\u003c\/strong\u003e\u003cbr\u003eMaximum power consumption is 300W through one PCIe CEM5 16-pin connector.\u003c\/p\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cp style=\"font-family: Arial, sans-serif; line-height: 1.6; margin: 0 0 14px;\"\u003e\u003cstrong\u003eDoes the RTX 6000 Ada support NVLink?\u003c\/strong\u003e\u003cbr\u003eNo. NVLink is not supported on the RTX 6000 Ada Generation.\u003c\/p\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cp style=\"font-family: Arial, sans-serif; line-height: 1.6; margin: 0 0 14px;\"\u003e\u003cstrong\u003eWhat warranty comes with the PNY RTX 6000 Ada?\u003c\/strong\u003e\u003cbr\u003ePNY lists a 3-year limited warranty, and PC PARK sells it as a 100% original product.\u003c\/p\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cp style=\"font-family: Arial, sans-serif; line-height: 1.6; margin: 0 0 14px;\"\u003e\u003cstrong\u003eDo you deliver the PNY RTX 6000 Ada in Saudi Arabia?\u003c\/strong\u003e\u003cbr\u003eYes. PC PARK delivers to all regions of Saudi Arabia, with delivery time shown at checkout.\u003c\/p\u003e\u003c\/div\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 6000 Ada Generation 48GB (VCNRTX6000ADA-PB) from \u003cstrong\u003ePC PARK\u003c\/strong\u003e with official warranty and fast delivery across Saudi Arabia.\u003c\/p\u003e\n\u003cscript type=\"application\/ld+json\"\u003e{\"@context\": \"https:\/\/schema.org\", \"@type\": \"FAQPage\", \"inLanguage\": \"en\", \"mainEntity\": [{\"@type\": \"Question\", \"name\": \"How much memory does the PNY RTX 6000 Ada (VCNRTX6000ADA-PB) have?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"It has 48GB of GDDR6 memory with ECC on a 384-bit interface and 960 GB\/s bandwidth.\"}}, {\"@type\": \"Question\", \"name\": \"How many CUDA cores does the RTX 6000 Ada Generation have?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"It has 18,176 CUDA cores, 568 Tensor Cores and 142 RT Cores.\"}}, {\"@type\": \"Question\", \"name\": \"Is the RTX 6000 Ada the same as the RTX A6000?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"No. The RTX A6000 is the previous Ampere generation; the RTX 6000 Ada Generation uses the newer Ada Lovelace architecture.\"}}, {\"@type\": \"Question\", \"name\": \"What power does the RTX 6000 Ada need?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Maximum power consumption is 300W through one PCIe CEM5 16-pin connector.\"}}, {\"@type\": \"Question\", \"name\": \"Does the RTX 6000 Ada support NVLink?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"No. NVLink is not supported on the RTX 6000 Ada Generation.\"}}, {\"@type\": \"Question\", \"name\": \"What warranty comes with the PNY RTX 6000 Ada?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"PNY lists a 3-year limited warranty, and PC PARK sells it as a 100% original product.\"}}, {\"@type\": \"Question\", \"name\": \"Do you deliver the PNY RTX 6000 Ada in Saudi Arabia?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Yes. 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