PNY Technologies Inc.
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  • Description

    NVIDIA A10

    Accelerated Graphics and Video with AI for Mainstream Enterprise Servers

    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 latest NVIDIA Ampere architecture, the A10 combines second-generation RT Cores, third-generation Tensor Cores, and new streaming microprocessors with 24 gigabytes (GB) of GDDR6 memory – all in a 150W 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 A10


    FP32 31.2 TFLOPS
    TF32 Tensor Core 62.5 TFLOPS | 125 TFLOPS*
    BFLOAT16 Tensor Core 126 TFLOPS | 250 TFLOPS*
    FP16 Tensor Core 165 TFLOPS | 330 TF*
    INT8 Tensor Core 250 TOPS | 500 TOPS*
    INT4 Tensor Core 500 TOPS | 1000 TOPS*
    GPU Memory 24 GB GDDR6
    System Interface PCIE 4.0 x16
    Memory Bandwidth 600 GB/s
    Thermal Solutions Passive
    Maximum Power Consumption 150 W
    System Interface PCIe Gen 4.0 | 64 GB/s
    vGPU Support Yes

    *With sparsity

    Remote Collaboration

    • Take your virtual workstations to the next level by enabling a new era of collaboration with NVIDIA Omniverse, an open platform built for virtual collaboration. Complex creative, design, and engineering visual workflows are transformed as users and teams connect design tools, assets, and projects for collaborative iterations in a virtual world.

    Enterprise Class

    • Get the same optimal performance and stability from virtual workstations powered by NVIDIA RTX vWS software as physical workstations. Because they leverage RTX Enterprise drivers, the virtual workstations benefit from extensive testing across a broad range of industry applications and certifications from over 100 independent software vendors (ISVs)

    3D Visualization

    • Run professional 3D visualization applications from the data center with NVIDIA RTX Virtual Workstation (vWS) software – the only virtual workstations to support NVIDIA RTX technology. RTX enables incredible 3D designs, photorealistic simulations, and stunning visual effects faster than ever.

    AI-Accelerated Apps

    • Bring the power of AI to visual computing with NVIDIA RTX. RTX enables developers to create AI-augmented applications that bring unprecedented workflow acceleration to end users. This dramatically accelerates creativity for artists and designers by freeing up time and resources through intelligent manipulation of images, automation of repetitive tasks, and optimization of compute-intensive processes.

    Interactive Rendering

    • Achieve fully interactive, photorealistic visualization in the application viewport by connecting to one or more servers to boost virtual desktop performance. By leveraging a common pool of GPU accelerated data center resources to run virtual workstations and render nodes, productivity is boosted and projects can be completed faster.

    Data Center Class Reliability

    • Designed for 24 x 7 data center operations and driven by power-efficient hardware and components selected for optimum performance, durability, and longevity.
    • Fully tested and validated by NVIDIA, leading OEMs and system integrators to meet the most demanding real-world conditions.
    • Enterprise compatibility and stability with professional applications through NVIDIA support of the latest OpenGL, DirectX, Vulkan, and CUDA standards, deep independent software vendor (ISV) developer engagements, and virtual workstations powered by NVIDIA RTX Virtual Workstation (vWS) software leverage the same pro NVIDIA RTX platform as physical workstations, benefiting from extensive testing across a broad range of industry applications and certifications from over 100 independent software vendors (ISVs) to ensure optimal performance and stability.

    vGPU Software Support

    • NVIDIA Virtual PC (vPC)
    • NVIDIA Virtual Applications (vApps)
    • NVIDIA RTX Virtual Workstation (vWS)
    • NVIDIA Virtual Compute Server (vCS)
    • vGPU Profiles from 1 GB to 24 GB

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    3-Year Limited Warranty

    Free dedicated phone and email technical support

    Dedicated NVIDIA professional products Field Application Engineers

    Contact for additional information.

  • Features

    NVIDIA A10


    NVIDIA Ampere Architecture

    NVIDIA A10 is a powerful, dense, and cost-effective GPU for visual computing, offering high performance real-time ray tracing, AI-accelerated compute, and professional graphics rendering. Building upon the major SM enhancements from the Turing GPU, the NVIDIA Ampere architecture enhances ray tracing operations, tensor matrix operations, and concurrent executions of FP32 and INT32 operations.

    CUDA Cores

    The NVIDIA Ampere architecture’s CUDA cores bring up to 3x the single-precision floating point (FP32) throughput compared to the previous generation, providing significant performance improvements for graphics workflows such as 3D model development and compute for workloads such as desktop simulation for computer-aided engineering (CAE).

    Second Generation RT Cores

    Incorporating second generation ray tracing engines, the NVIDIA Ampere GPU architecture provides incredible ray traced rendering performance. NVIDIA A10 can render complex professional models with physically accurate shadows, reflections, and refractions to empower users with instant insight. Working in concert with applications leveraging APIs such as NVIDIA OptiX, Microsoft DXR and Vulkan ray tracing, servers based on NVIDIA A10 will power truly interactive design workflows to provide immediate feedback for unprecedented levels of productivity. NVIDIA A10 is up to 2x faster in ray tracing compared to the previous generation. This technology also speeds up the rendering of ray-traced motion blur by up to 7x for faster results with greater visual accuracy through hardware accelerating Motion BVH (bounding volume hierarchy).

    Third Generation Tensor Cores

    Purpose-built for the acceleration of AI-enhanced applications, the NVIDIA A10 includes enhanced Tensor Cores that accelerate more datatypes (TF32 and BF16) and includes a new Fine-Grained Structured Sparsity feature.

    PCIe Gen 4

    The NVIDIA A10 supports PCI Express 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 science.

    Higher Speed GDDR6 Memory

    Built with 24 GB GDDR6 memory delivering higher bandwidth throughput for ray tracing, rendering, and AI workloads than the previous generation. The NVIDIA A10 provides a graphics memory footprint sufficient to address complex datasets and models in professional applications.

    Fifth Generation NVDEC Engine

    NVDEC is well suited 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.

    Seventh Generation NVENC Engine

    NVENC can take on the most demanding 4K or 8K video encoding tasks to free up the graphics engine and the CPU for other operations. The NVIDIA A10 provides better encoding quality than software-based x264 encoders.


    Preemption at the instruction-level provides finer grain control over compute and graphics tasks to prevent longer-running applications from either monopolizing system resources or timing out.


    Virtual GPU Software for Virtualization

    Support for NVIDIA virtual GPU (vGPU) software enables A10 to be virtualized to accelerate everything from general office productivity applications to high-end design, AI, and compute tasks. The NVIDIA Virtual PC (vPC) or NVIDIA RTX Virtual Workstation (vWS) products (license required) provides access to the world’s most powerful GPU accelerated virtual solutions to enable flexible, work-from-anywhere experiences, while a NVIDIA Virtual Compute Server (vCS) license accelerates virtualized compute workloads such as high-performance computing, AI and data science.

    Software Optimized for AI

    Deep learning frameworks such as Caffe2, MXNet, CNTK, TensorFlow, and others deliver dramatically faster training times and higher multi-node training performance. GPU accelerated libraries such as cuDNN, cuBLAS, and TensorRT deliver higher performance for both deep learning inference and High-Performance Computing (HPC) applications.

    NVIDIA CUDA Parallel Computing Platform

    Natively execute standard programming languages like C/C++ and Fortran, and APIs such as OpenCL, OpenACC and Direct Compute to accelerate techniques such as ray tracing, video and image processing, and computation fluid dynamics.

    Unified Memory

    A single, seamless 49-bit virtual address space allows for the transparent migration of data between the full allocation of CPU and GPU memory.

  • Specifications

    NVIDIA A10


    Compatible in all systems that accept an NVIDIA A10

    FP32 31.2 TFLOPS
    TF32 Tensor Core 62.5 TFLOPS | 125 TFLOPS*
    BFLOAT16 Tensor Core 126 TFLOPS | 250 TFLOPS*
    FP16 Tensor Core 165 TFLOPS | 330 TF*
    INT8 Tensor Core 250 TOPS | 500 TOPS*
    INT4 Tensor Core 500 TOPS | 1000 TOPS*
    RT Cores 72
    Encode/Decode 1 Encoder
    1 Decoder
    (+AV1 Decode)
    GPU Memory 24 GB GDDR6
    Memory Bandwidth 600 GB/s
    System Interface PCIe Gen 4.0 | 64 GB/s
    Thermal Solution Passive
    Form Factor 1 Slot Full Height, Full Length (FHFL)
    Maximum Power Consumption 150 W
    Auxiliary Power Connector PCIe 8-pin
    vGPU Support NVIDIA vPC
    NVIDIA vApps
    NVIDIA Virtual Compute Server (vCS)

    *With sparsity


    • Windows Server 2012 R2
    • Windows Server 2016 1607, 1709
    • Windows Server 2019
    • RedHat CoreOS 4.7
    • Red Hat Enterprise Linux 8.1-8.3
    • Red Hat Enterprise Linux 7.7-7.9
    • Red Hat Linux 6.6+
    • SUSE Linux Enterprise Server 15 SP2
    • SUSE Linux Enterprise Server 12 SP 3+
    • Ubuntu 14.04 LTS/16.04/18.04 LTS/20.04 LTS


    • NVIDIA A10 Data Center PCIe board
    • Auxiliary power cable