The NVIDIA A10 Tensor Core GPU combines with NVIDIA RTX Virtual Workstation (vWS) software to bring mainstream graphics and video with AI services to mainstream enterprise servers, delivering the solutions that designers, engineers, artists, and scientists need to meet today’s challenges. Built on the NVIDIA Ampere architecture, the A10 combines second-generation RT Cores, third-generation Tensor Cores, and streaming microprocessors with 24 gigabytes (GB) of GDDR6 memory – all in a 150 W power envelope – for versatile graphics, rendering, AI, and compute performance. From virtual workstations, accessible anywhere in the world, to render nodes to the data centers running a variety of workloads, A10 is built to deliver optimal performance in a single-wide, full-height, full-length PCIe form factor.
NVIDIA A10 is supported as part of NVIDIA-Certified Systems, in the on-prem data center, in the cloud, and at the edge. NVIDIA A10 builds on the rich ecosystem of AI frameworks from the NVIDIA NGC catalog, CUDA-X libraries, over 2.3 million developers, and over 1,800 GPU-optimized applications to help enterprises solve the most critical challenges in their business.
NVIDIA ampere architecture CUDA Cores
Double-speed processing for single-precision floating point (FP32) operations and improved power efficiency provide significant performance gains in graphics and compute workflows, such as complex 3D computer-aided design (CAD) and computer-aided engineering (CAE).
Second-generation RT Cores
With up to 2X the throughput over the previous generation and the ability to concurrently run ray tracing with either shading or denoising capabilities, second-generation RT Cores deliver massive speedups for workloads like photorealistic rendering of movie content, architectural design evaluations, and virtual prototyping of product designs. This technology also speeds up the rendering of ray-traced motion blur for faster results with greater visual accuracy.
Third-generation tensor Cores
Tensor Float 32 (TF32) precision provides up to 5X the training throughput over the previous generation to accelerate AI and data science model training without any code changes. Hardware support for structural sparsity provides up to double the throughput for inferencing. Tensor Cores also bring AI to graphics with capabilities like deep learning super sampling (DLSS), AI denoising, and enhanced editing for select applications.
24 GB GDDR6
Ultra-fast GDDR6 memory, delivering 600 Gbps of bandwidth for rendering, data science, engineering simulation, and other GPU-memory intensive workloads.
PCIe Express Gen 4
PCI Express Gen 4 doubles the bandwidth of PCIe Gen 3, improving data-transfer speeds from CPU memory for data-intensive tasks like AI, data science, and 3D design. Faster PCIe performance also accelerates GPU direct memory access (DMA) transfers, providing faster input/output communication of video data between the GPU and NVIDIA GPU Direct for video-enabled devices, delivering a powerful solution for live broadcast. A10 is also backwards compatible with PCI Express Gen 3 for deployment flexibility.
Data center efficiency and security
Featuring a single-slot, full-height, full-length power efficient design, NVIDIA A10 is compatible with a wide range of servers from worldwide OEMs. The NVIDIA A10 includes secure and measured boot with hardware root-of-trust technology, ensuring that firmware isn’t tampered with or corrupted.
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