• 12800 CUDA Cores
  • 400 4th Gen Tensor Cores
  • 100 3rd Gen RT Cores
  • 32 GB memory (GDDR6)
  • 250W Power Consumption
  • 4x DP 1.4a
  • Category:
    General Details



    The NVIDIA RTX™ 5000 Ada Generation GPU, powered by the NVIDIA Ada Lovelace architecture, unlocks breakthroughs in generative AI and delivers the performance required to meet the challenges of today’s professional workflows. With 100 third-generation RT Cores, 400 fourth-generation Tensor Cores, 12,800 CUDA® cores, and 32GB of graphics memory, the RTX 5000 excels in rendering, AI, graphics, and compute workload performance.

    NVIDIA RTX professional graphics cards are certified with a broad range of professional applications, tested by leading independent software vendors (ISVs) and workstation manufacturers, and backed by a global team of support specialists. Get the peace of mind needed to focus on what matters with the premier visual computing solution for mission-critical business


    NVIDIA ADA Architecture CUDA

    2X the speed of the previous generation for single-precision floating-point (FP32) operations provides significant performance improvements for graphics and simulation workflows on the desktop, such as complex 3D computer-aided design (CAD) and computer-aided engineering (CAE).

    Third-Generation RT Cores

    With over 2X the throughput over the previous generation, third-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 accelerates the rendering of ray-traced motion blur with greater visual accuracy.

    4th-Gen Tensor Cores

    Fourth-generation Tensor Cores deliver up to 4X the AI compute performance of the previous generation. These Tensor Cores support acceleration of the FP8 precision data type and provide independent floating-point and integer data paths to speed up execution of mixed floating-point and integer calculations.

    32GB of GPU Memory

    With 32GB of GDDR6 memory, RTX 5000 gives data scientists, engineers, and creative professionals the GPU memory needed to work with large datasets and workloads like rendering, data analytics, and simulation.


    Support for NVIDIA RTX Virtual Workstation (vWS) software allows a personal workstation to be repurposed into multiple high-performance virtual workstation instances, letting remote users share resources to drive high-end design, AI, and compute workloads.

    AV1 Encoders

    Eighth-generation dedicated hardware encoder (NVENC) with AV1 encoding unlocks new opportunities for streamers, broadcasters, and video conferencing. It’s 40% more efficient than H.264, allowing users streaming at 1080p to increase their resolution to 1440p while running at the same bitrate and quality.


    Technical details NVIDIA RTX 5000 ADA

    1. CUDA Cores
      NVIDIA ADA architecture-based CUDA Cores 12.800
    2. Tensor Cores
      NVIDIA fourth-generation Tensor Cores 400
    3. RT Cores
      NVIDIA thrid-generation RT Cores 100
    4. Memory
      GPU memory 32 GB GDDR6
    5. Single-precision Performance
      Single-precision performance 65.3 TFLOPS
    6. RT Core performance
      RT Core performance 151.0 TFLOPS
    7. Tensor performance
      Tensor performance 1044.4 TFLOPS
    8. Max Power Consumption
      Power Consumption Total Board power: 250 W
    9. System Interface
      System interface PCI Express 4.0 x 16
    10. Display Connectors
      Display Connectors 4x DP 1.4a
    11. Form Factor
      Form Factor 4.4″ (H) x 10.5″ (L) Dual Slots, Full Height
    12. Max number of Displays
      Max simultaneous displays 4x 4096 x 2160 @ 120 Hz,
      4x 5120 x 2880 @ 60 Hz,
      2x 7680 x 4320 @ 60 Hz
    13. Encode/Decode Engines
      Encode/decode engines 2x encode, 2x decode (+AV1 encode and decode)
    14. vGPU software support
      vGPU software support NVIDIA vPC/vApps
      NVIDIA RTX Virtual Workstation
    15. vGPU profile support
      vGPU profiles supported See the Virtual GPU Licensing Guide
    16. Graphics APIs
      Graphics APIs DirectX 12
      Shader Model 6.7
      OpenGL 4.6
      Vulkan 1.3
    17. Compute APIs
      Compute APIs CUDA 12.2
      OpenCL 3.0
    18. Compute APIs
      NVIDIA NVLink® No


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