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NVIDIA Powered

NVIDIA Professional GPUs for Data Science

Featuring NVIDIA RTX GPUs and Leading Data Science Software
Data is fundamentally changing the way companies do business, driving demand for data scientists and increasing the complexity of their workflows. Get the performance needed to transform massive amounts of data into insights and create amazing customer experiences with NVIDIA-Certified workstations for data science. Built by leading workstation providers to combine the power of NVIDIA® RTX™ GPUs with accelerated CUDA-X AI data science software to deliver a new class of fully integrated workstations for data science.

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Data Science Workstation

This Data Science Central podcast covers how Data Science essentially spans every industry, discusses a day in the life of a data scientist working on CPUs vs. GPUs, how NVIDIA CUDA-X AI transforms data science, and - with RAPIDS and Apache ARROW in GPU Memory - implements an end-to-end GPU accelerated data science pipeline..

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Data Science Workstations and OmniSci

Powering the Transition to AI and Big Data Analytics
Learn how NVIDIA RTX powered data science workstations and OmniSci are redefining speed and scale in Big Data Analytics and visualization by combining the fastest analytics software with the highest performance hardware – NVIDIA RTX GPUs boosted by the NVLink interconnect.

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Data Science Central Podcast Series

Data is reinventing how companies do business, spurring demand for data scientists and new tools that address their needs. NVIDIA RTX enables a new class of system – NVIDIA RTX equipped workstations optimized for data science – that deliver a fully integrated hardware and software solution for data scientists. Learn more about these systems, and the tools and analysis they enable, in this timely webinar.

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NVIDIA RTX RTX

Built on the World's

Most Advanced GPU

Bring the power of RTX to your data science workflow with workstations powered by NVIDIA RTX GPUs. Get up to 96 GB of ultra-fast local memory to handle the largest datasets and compute-intensive workloads. Leverage the latest in ray-tracing technology for high performance local visualization and configure remote access for maximum flexibility. With NVIDIA RTX you can maximize productivity, reduce time to insight and lower the cost of data science projects with certified workstations built to ensure the highest level of compatibility, support and reliability.

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Features and Benefits

MAXIMIZE DATA SCIENTIST PRODUCTIVITY

MAXIMIZE DATA SCIENTIST PRODUCTIVITY

Take advantage of a fully integrated hardware and software stack that is ready out-of-the-box for instant productivity gains.

FASTER MODEL DEVELOPMENT AND TRAINING

FASTER MODEL DEVELOPMENT AND TRAINING

Iterate and move to production clusters faster with high performance NVIDIA RTX GPUs.

ENTERPRISE-CLASS RELIABILITY AND SUPPORT

ENTERPRISE-CLASS RELIABILITY AND SUPPORT

Enjoy optional software support services for NVIDIA developed software and containers for world-class support data scientists can rely on.

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WHITEPAPER

Improving Insights and Outcomes NVIDIA RTX for Data Science and Big Data Analytics

Learn how GPU acceleration is revolutionizing data science and analytics.

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Up to 3.4x Faster Than Gen-1

NVIDIA RTX A6000 RELATIVE DEEP LEARNING PERFORMANCE

PyTorch | BERT Large Training

TensorRT | BERT Large Inference

Market Solutions

Virtual Workstations

  • Access all of the benefits of the NVIDIA RTX platform in a virtual environment from the data center with NVIDIA Virtual Workstation (NVIDIA vWS) software.
  • Tackle massive datasets, large 3D models, and complex designs with the scaled memory and performance of NVIDIA RTX A6000, RTX A5500, or RTX A5000 GPUs with NVIDIA vWS.

Rendering

  • NVIDIA NVLink™ delivers up to 96 gigabytes (GB) of GPU memory for IT-ready, purpose-built NVIDIA RTX GPU clusters that massively accelerate batch and real-time rendering in the data center.
  • Through the combination of RT Cores and Tensor Cores, the RTX platform brings real-time ray tracing, denoising, and AI acceleration, letting artists create photorealistic renders at a fraction of the cost, space, and power requirements of CPU-based render farms.

AI and Data Science

  • Deploy NVIDIA RTX A6000, RTX A5500, or RTX A5000 GPUs with NVIDIA AI Enterprise software to run compute workloads like AI, data science, and big data analytics with virtual GPUs (vGPU).
  • Leverage the NVIDIA CUDA-X AI™ software stack and NGC™ containers for GPU-accelerated data science tools.

Mixed Workloads

  • Host virtual machines running diverse graphics, deep learning, and simulation workloads with a common data center infrastructure running on NVIDIA RTX GPUs with NVIDIA virtual GPU software
  • Run mixed workloads in servers to increase productivity, maximize GPU utilization and efficiency, and reduce data center costs.

Augmented and Virtual Reality Over 5G

  • Accelerate edge computing for graphics-intensive workloads with NVIDIA vDWS.
  • Deploy servers across 5G networks, leveraging the high bandwidth and low latency to create immersive augmented and virtual reality experiences.

Simulation and Scientific Visualization

  • Run large-scale simulations quickly and accelerate time to scientific discovery with GPU-powered parallel processing.
  • Combine NVIDIA RTX GPUs and NVIDIA virtual GPU software to scale workloads according to size and complexity.

Built For

Professionals

Bringing NVIDIA RTX to the data center expands beyond groundbreaking hardware—it gives IT managers a complete visualization platform to simplify even the most complex deployments.

  • NVIDIA RTX long-life drivers are engineered by NVIDIA and extensively tested and certified by major workstation OEMs to minimize interruptions and maximize productivity.
  • Certifications for over 100 professional applications, 100+ fully optimized for NVIDIA RTX, guarantee hardware stability, performance, and access to amazing new AI-enhanced features.
  • NVIDIA RTX vDWS software virtualizes any graphics application from the data center for increased security and easier management.
  • High-end NVIDIA RTX graphics cards utilize active cooling and require a server system enclosure that supports active board cooling. The NVIDIA Enterprise Management Toolkit (NVWMI) increases operational efficiency by easily and remotely deploying, configuring, updating, and monitoring NVIDIA RTX solutions. Enterprise-grade support from NVIDIA RTX experts and long-life warranties deliver peace of mind.
  • The NVIDIA Enterprise Management Toolkit (NVWMI) increases operational efficiency by easily and remotely deploying, configuring, updating, and monitoring NVIDIA RTX solutions.
  • Enterprise-grade support from NVIDIA RTX experts and long-life warranties deliver peace of mind.
  • NVIDIA RTX A6000
    NVIDIA CUDA Cores 10752
    NVIDIA Tensor Cores | Gen 3 336
    NVIDIA RT Cores | Gen 2 84
    GPU Memory 48GB GDDR6 ECC
    Memory Bandwidth 786 GB/sec
    NVLink Support and Bandwidth Yes, 112.5 GB/sec Bi-directional
    MIG (Multi-Instance GPU) Support No
    Maximum Power Consumption 300W
    Thermal Solution Active Fansink
    Form Factor Dual-Slot, Full-Height
    System Interface PCIe Gen4 x16
    NVIDIA vGPU Support Yes
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  • NVIDIA RTX A5500
    NVIDIA CUDA Cores 10240
    NVIDIA Tensor Cores | Gen 3 320
    NVIDIA RT Cores | Gen 2 80
    GPU Memory 24GB GDDR6 ECC
    Memory Bandwidth 768 GB/s
    NVLink Support and Bandwidth Yes, 112.5 GB/s Bi-Directional
    MIG (Multi-Instance GPU) Support Not Supported
    Maximum Power Consumption 230W
    Thermal Solution Active Fansink
    Form Factor Dual-Slot, Full-Height
    System Interface PCIe Gen4 x16
    NVIDIA vGPU Support Yes
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  • NVIDIA RTX A5000
    NVIDIA CUDA Cores 8192
    NVIDIA Tensor Cores | Gen 3 256
    NVIDIA RT Cores | Gen 2 64
    GPU Memory 24GB GDDR6 ECC
    Memory Bandwidth 768 GB/sec
    NVLink Support and Bandwidth Yes, 112.5 GB/sec Bi-directional
    MIG (Multi-Instance GPU) Support No
    Maximum Power Consumption 230W
    Thermal Solution Active Fansink
    Form Factor Dual-Slot, Full-Height
    System Interface PCIe Gen4 x16
    NVIDIA vGPU Support Yes
    Learn More
  • NVIDIA RTX A4500
    NVIDIA CUDA Cores 7168
    NVIDIA Tensor Cores | Gen 3 224
    GPU Memory 20GB GDDR6 ECC
    Memory Bandwidth 640 GB/s
    NVLink Support and Bandwidth Yes, 112.5 GB/sec Bi-directional
    MIG (Multi-Instance GPU) Support Not Supported
    Maximum Power Consumption 200W
    Thermal Solution Active Fansink
    Form Factor Dual-Slot, Full-Height
    System Interface PCIe Gen4 x16
    NVIDIA vGPU Support No
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