{"product_id":"nvidia-rtx-a1000-graphics-card","title":"NVIDIA RTX A1000 Graphics Card","description":"\u003cdiv\u003e \n \u003ch2\u003eNVIDIA RTX A1000  Overview\u003c\/h2\u003e \n\u003c\/div\u003e \n\u003cdiv\u003e  \n \u003cdiv\u003e \n  \u003cdiv\u003e\u003c\/div\u003e \n \u003c\/div\u003e \n \u003cdiv\u003e \n  \u003cdiv\u003e \n   \u003cp\u003eDesigned to handle professional workflows, the \u003cb\u003eNVIDIA RTX A1000 Graphics Card\u003c\/b\u003e utilizes NVIDIA's Ampere architecture. This graphics card features 8GB of GDDR6 VRAM. The front panel of the card features four Mini DisplayPort 1.4a outputs and can natively support up to four 5K displays or dual 8K displays. Computationally intensive programs can utilize the 2304 CUDA cores to accelerate tasks using CUDA or other APIs. The card features a blower style fan cooler.\u003c\/p\u003e \n  \u003c\/div\u003e \n \u003c\/div\u003e \n \u003cdiv\u003e \n  \u003cdiv\u003e \n   \u003cdiv\u003e \n    \u003cdiv\u003e \n     \u003cdiv\u003e \n      \u003cdiv\u003e\n        NVIDIA Ampere Architecture \n      \u003c\/div\u003e \n     \u003c\/div\u003e \n     \u003cdiv\u003e \n      \u003cdiv\u003e\n        NVIDIA Ampere architecture enhances ray tracing operations, tensor matrix operations, and concurrent executions of FP32 and INT32 operations. \n      \u003c\/div\u003e \n     \u003c\/div\u003e \n    \u003c\/div\u003e \n    \u003cdiv\u003e \n     \u003cdiv\u003e \n      \u003cdiv\u003e\n        CUDA Cores \n      \u003c\/div\u003e \n     \u003c\/div\u003e \n     \u003cdiv\u003e \n      \u003cdiv\u003e\n        The NVIDIA CUDA cores bring up to 2 times the single-precision floating point (FP32) throughput compared to the previous generation, providing significant performance improvements for graphics and rendering workflows such as 2D graphics, 3D model development, basic photo and video editing and compute for workloads such as data analysis and general productivity. RTX A1000 enables two FP32 primary data paths, doubling the peak FP32 operations. \n      \u003c\/div\u003e \n     \u003c\/div\u003e \n    \u003c\/div\u003e \n    \u003cdiv\u003e \n     \u003cdiv\u003e \n      \u003cdiv\u003e\n        2nd-Gen RT Cores \n      \u003c\/div\u003e \n     \u003c\/div\u003e \n     \u003cdiv\u003e \n      \u003cdiv\u003e\n        With 2nd-Gen ray tracing engines, this graphics card renders complex models with accurate shadows, reflections, and refractions. RTX A1000-based systems power interactive design workflows to boost productivity. The RTX A1000 is up to 2x faster in rendering performance compared to the previous generation and speeds up ray-traced motion blur for faster, more accurate results. \n      \u003c\/div\u003e \n     \u003c\/div\u003e \n    \u003c\/div\u003e \n    \u003cdiv\u003e \n     \u003cdiv\u003e \n      \u003cdiv\u003e\n        3rd-Gen Tensor Cores \n      \u003c\/div\u003e \n     \u003c\/div\u003e \n     \u003cdiv\u003e \n      \u003cdiv\u003e\n        Built for modern workflows, this GPU includes enhanced Tensor Cores as part of the Ampere architecture that accelerates more datatypes and delivers dramatically improved generative AI performance compared to the previous generation. Independent floating-point and integer data paths allow more efficient execution of workloads using a mix of computation and addressing calculations. \n      \u003c\/div\u003e \n     \u003c\/div\u003e \n    \u003c\/div\u003e \n    \u003cdiv\u003e \n     \u003cdiv\u003e \n      \u003cdiv\u003e\n        PCIe Gen 4 Interface \n      \u003c\/div\u003e \n     \u003c\/div\u003e \n     \u003cdiv\u003e \n      \u003cdiv\u003e\n        The RTX A1000 supports PCIe Gen 4, which provides double the bandwidth of PCIe Gen 3, improving data-transfer speeds from CPU memory for data-intensive tasks like AI and data analysis. \n      \u003c\/div\u003e \n     \u003c\/div\u003e \n    \u003c\/div\u003e \n    \u003cdiv\u003e \n     \u003cdiv\u003e \n      \u003cdiv\u003e\n        GDDR6 VRAM \n      \u003c\/div\u003e \n     \u003c\/div\u003e \n     \u003cdiv\u003e \n      \u003cdiv\u003e\n        Equipped with 8GB of GDDR6 memory and a faster memory clock, the RTX A1000 provides an ideal memory footprint to address datasets and models in latency-sensitive professional applications and at volume. \n      \u003c\/div\u003e \n     \u003c\/div\u003e \n    \u003c\/div\u003e \n    \u003cdiv\u003e \n     \u003cdiv\u003e \n      \u003cdiv\u003e\n        5th-Gen NVDEC Engine \n      \u003c\/div\u003e \n     \u003c\/div\u003e \n     \u003cdiv\u003e \n      \u003cdiv\u003e\n        NVDEC is optimal for transcoding and video playback applications for real-time decoding. The following video codecs are supported for hardware-accelerated decoding: MPEG-2, VC-1, H.264 (AVCHD), H.265 (HEVC), VP8, VP9, and AV1. \n      \u003c\/div\u003e \n     \u003c\/div\u003e \n    \u003c\/div\u003e \n   \u003c\/div\u003e \n  \u003c\/div\u003e \n \u003c\/div\u003e     Items Included  \n \u003cul\u003e \n  \u003cli\u003e\u003cspan\u003eNVIDIA RTX A1000 Graphics Card\u003c\/span\u003e\u003c\/li\u003e \n  \u003cli\u003e\u003cspan\u003eLimited 3-Year Manufacturer Warranty\u003c\/span\u003e\u003c\/li\u003e \n \u003c\/ul\u003e    Additional Resources  \n \u003cp\u003eNo additional resources available\u003c\/p\u003e   \n\u003c\/div\u003e \n\u003cdiv\u003e \n \u003cdiv\u003e \n  \u003cdiv\u003e \n   \u003cdiv\u003e \n    \u003cdiv\u003e \n     \u003cdiv\u003e \n      \u003ch2\u003eNVIDIA RTX A1000  Specs\u003c\/h2\u003e \n     \u003c\/div\u003e \n     \u003cdiv\u003e \n      \u003cdiv\u003e\n        Key Specs \n      \u003c\/div\u003e \n      \u003ctable\u003e \n       \u003ctbody\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eGPU Model\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003eNVIDIA RTX A1000\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eStream Processors\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003e2304 CUDA Cores\u003cbr\u003e72 Tensor Cores\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eDedicated AI Cores\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003eNo\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eInterface\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003ePCI Express 4.0 x8\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eVideo RAM\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003e8 GB GDDR6\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eVideo Output\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003e4x Mini DisplayPort 1.4a\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n        \u003ctr\u003e \n         \u003ctd\u003ePower Connection\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003eNo\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eGPU Width\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003eSingle-Slot\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n       \u003c\/tbody\u003e \n      \u003c\/table\u003e \n     \u003c\/div\u003e \n     \u003cdiv\u003e \n      \u003cdiv\u003e\n        GPU \n      \u003c\/div\u003e \n      \u003ctable\u003e \n       \u003ctbody\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eGPU Model\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003eNVIDIA RTX A1000\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eStream Processors\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003e2304 CUDA Cores\u003cbr\u003e72 Tensor Cores\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eDedicated AI Cores\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003eNo\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eInterface\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003ePCI Express 4.0 x8\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eSupported APIs\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003eDirectX: 12\u003cbr\u003eShader Model: 6.6\u003cbr\u003eOpenGL: 4.6\u003cbr\u003eVulkan: 1.3\u003cbr\u003eCUDA: 11.6\u003cbr\u003eOpenCL: 3\u003cbr\u003eDirectCompute\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n       \u003c\/tbody\u003e \n      \u003c\/table\u003e \n     \u003c\/div\u003e \n     \u003cdiv\u003e \n      \u003cdiv\u003e\n        Memory \n      \u003c\/div\u003e \n      \u003ctable\u003e \n       \u003ctbody\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eVideo RAM\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003e8 GB GDDR6\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eMemory Interface Width\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003e128-Bit\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eMemory Bandwidth\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003e192 GB\/s\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n       \u003c\/tbody\u003e \n      \u003c\/table\u003e \n     \u003c\/div\u003e \n     \u003cdiv\u003e \n      \u003cdiv\u003e\n        Display Support \n      \u003c\/div\u003e \n      \u003ctable\u003e \n       \u003ctbody\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eVideo Output\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003e4x Mini DisplayPort 1.4a\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n       \u003c\/tbody\u003e \n      \u003c\/table\u003e \n     \u003c\/div\u003e \n     \u003cdiv\u003e \n      \u003cdiv\u003e\n        Power Requirements \n      \u003c\/div\u003e \n      \u003ctable\u003e \n       \u003ctbody\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eMax Power Consumption\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003e50 W\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n        \u003ctr\u003e \n         \u003ctd\u003ePower Connection\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003eNo\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n       \u003c\/tbody\u003e \n      \u003c\/table\u003e \n     \u003c\/div\u003e \n     \u003cdiv\u003e \n      \u003cdiv\u003e\n        Compatibility \n      \u003c\/div\u003e \n      \u003ctable\u003e \n       \u003ctbody\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eExpansion Slot Compatibility\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003eFull Height\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eHeight\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003e2.7\" \/ 6.9 cm\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eLength\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003e6.4\" \/ 16.3 cm\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eWidth\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003eSingle-Slot\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eOS Compatibility\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003e\u003cspan\u003e\u003cb\u003e\u003c\/b\u003eWindows \u003c\/span\u003e\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n       \u003c\/tbody\u003e \n      \u003c\/table\u003e \n     \u003c\/div\u003e \n     \u003cdiv\u003e \n      \u003cdiv\u003e\n        General \n      \u003c\/div\u003e \n      \u003ctable\u003e \n       \u003ctbody\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eCooler Type\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003eBlower-Style Fan\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n       \u003c\/tbody\u003e \n      \u003c\/table\u003e \n     \u003c\/div\u003e \n     \u003cdiv\u003e \n      \u003cdiv\u003e\n        Packaging Info \n      \u003c\/div\u003e \n      \u003ctable\u003e \n       \u003ctbody\u003e \n        \u003ctr\u003e \n         \u003ctd\u003ePackage Weight\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003e1.445 lb\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n        \u003ctr\u003e \n         \u003ctd\u003eBox Dimensions (LxWxH)\u003c\/td\u003e \n         \u003ctd\u003e \n          \u003cdiv\u003e \n           \u003cspan\u003e15.1 x 10.9 x 8.8\"\u003c\/span\u003e \n          \u003c\/div\u003e\n\u003c\/td\u003e \n        \u003c\/tr\u003e \n       \u003c\/tbody\u003e \n      \u003c\/table\u003e \n     \u003c\/div\u003e \n    \u003c\/div\u003e \n   \u003c\/div\u003e \n  \u003c\/div\u003e \n \u003c\/div\u003e \n\u003c\/div\u003e\n\u003cp\u003eAll product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.\u003c\/p\u003e","brand":"NVIDIA-10","offers":[{"title":"Default Title","offer_id":42622555750485,"sku":"NVRA1000:NVRA1000:bhpv","price":78210.0,"currency_code":"INR","in_stock":false}],"url":"https:\/\/www.tanotis.com\/products\/nvidia-rtx-a1000-graphics-card","provider":"Tanotis","version":"1.0","type":"link"}