PNY Technologies Inc.
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NVIDIA RTX in

Data Centers

From data science to virtual environments, enterprises are tackling larger, more complex workloads than ever before. Meet the most demanding visual computing challenges by bringing the power of NVIDIA® RTX™ GPUs and NVIDIA virtual GPU software to the data center. With advanced technology for AI, real-time ray tracing, and graphics, IT teams can deploy servers capable of a wide range of workloads at a fraction of the cost, space, and power requirements of CPU-based solutions.

"The ray-tracing capabilities of NVIDIA RTX™ help artists push the boundaries of content creation. Arnold GPU is now available and we’re excited to see how our users will take advantage of the unprecedented rendering speeds and amazing efficiency."

"Cinesite was proud to be an early partner with NVIDIA on the RTX platform, but we never expected results this dramatic. We can iterate faster, more frequently, and with higher quality. This will completely change how our artists work."

"One of the biggest challenges in virtual production is achieving physically accurate lighting in real time. RTX enables real-time ray tracing within our Genesis platform, making photorealism possible for the first time ever live on set."

Market Solutions

Virtual Workstations

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

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

  • Combine NVIDIA RTX A6000 or RTX A5000 GPUs with NVIDIA Virtual Compute Server (vCS) software to run compute workloads like AI, data science, and deep learning in a virtual machine.
  • 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, 70+ 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 feature both active and passive thermal cooling to fit a variety of servers.
  • 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-CERTIFIED SYSTEMS

NVIDIA RTX-powered servers can transform your data center infrastructure. Take AI, HPC, or visual computing to the next level with NVIDIA-Certified Systems, a highly flexible reference design that features OEM server systems that have been tested and validated across a range of workloads. NVIDIA-Certified Systems combine NVIDIA RTX GPUs with NVIDIA virtual GPU software and leading third-party applications for maximum performance and cost savings.

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Powered by the World's

Most Advanced GPUs

Model, simulate, test, and improve products like never before. With NVIDIA RTX, manufacturers can design and bring innovative products to market faster.

  • NVIDIA A100 80 GB
    NVIDIA CUDA Cores 6912
    NVIDIA Tensor Cores | Gen 3 432
    NVIDIA RT Cores | Gen 2 None
    GPU Memory 80GB HBM2e ECC
    Memory Bandwidth 1555 GB/sec
    NVLink Support and Bandwidth Yes, 600 GB/sec Bi-directional
    MIG (Multi-Instance GPU) Support Yes, Up to Seven GPU Instances
    Maximum Power Consumption 300W
    Thermal Solution Passive
    Form Factor Dual-Slot, Full-Height
    System Interface PCIe Gen4 x16
    NVIDIA vGPU Support Yes
    Learn More
  • NVIDIA A30
    NVIDIA CUDA Cores 3804
    NVIDIA Tensor Cores | Gen 3 224
    NVIDIA RT Cores | Gen 2 None
    GPU Memory 24GB HBMe ECC
    Memory Bandwidth 933 GB/sec
    NVLink Support and Bandwidth Yes, 200 GB/sec Bi-directional
    MIG (Multi-Instance GPU) Support Yes, Up to Four GPU Instances
    Maximum Power Consumption 165W
    Thermal Solution Passive
    Form Factor Dual-Slot, Full-Height
    System Interface PCIe Gen4 x16
    NVIDIA vGPU Support Yes
    Learn More
  • NVIDIA A16
    NVIDIA CUDA Cores 4x 1280
    NVIDIA Tensor Cores | Gen 3 4x 40
    NVIDIA RT Cores | Gen 2 4x 10
    GPU Memory 4x 16GB GDDR6 ECC | 64 GB Total
    Memory Bandwidth 4x 200 GB/sec
    NVLink Support and Bandwidth No
    MIG (Multi-Instance GPU) Support No
    Maximum Power Consumption 250W
    Thermal Solution Passive
    Form Factor Dual-Slot, Full-Height
    System Interface PCIe Gen4 x16
    NVIDIA vGPU Support Yes
    Learn More
  • NVIDIA A2
    NVIDIA CUDA Cores 1280
    NVIDIA Tensor Cores | Gen 3 40
    NVIDIA RT Cores | Gen 2 10
    GPU Memory 16GB GDDR6 ECC
    Memory Bandwidth 200 GB/sec
    NVLink Support and Bandwidth No
    MIG (Multi-Instance GPU) Support No
    Maximum Power Consumption 40-60W Configurable
    Thermal Solution Passive
    Form Factor Low-Profile, Single-Slot
    System Interface PCIe Gen4 x8
    NVIDIA vGPU Support Yes
    Learn More
  • 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
    Learn More
  • 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

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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