GPUs For Virtualization

COMPARE GPUs For Virtualization

NVIDIA virtual GPU (vGPU) software runs on NVIDIA GPUs. Match your needs with the right GPU below.

  • NVIDIA Ampere Architecture
  • Previous Generation
GPU A100 A30 A40 A10 A16
GPU Architecture NVIDIA Ampere NVIDIA Ampere NVIDIA Ampere NVIDIA Ampere NVIDIA Ampere
Memory Size 40 GB HBM2 24 GB GDDR6 48 GB GDDR6 24 GB GDDR6 64 GB GDDR6 (16 GB per GPU)
Virtualization Workload Highest performance virtualized compute including AI, HPC and data processing, includes support for up to 7 MIG instances. Upgrade path for V100/V100S Tensor Core GPUs. Virtualize mainstream compute and AI inference, includes support for up to 4 MIG instances. Mid-range to high-end 3D design and creative workflows with NVIDIA RTX® Virtual Workstation (vWS). Upgrade path for Quadro RTX 8000, RTX 6000. Entry to mid-range virtual workstations for design and engineering with NVIDIA vWS. Also run graphics-rich virtual desktops with vPC and deep learning inferencing with vCS. Upgrade path for T4, RTX 6000. Office productivity applications, streaming video and teleconferencing tools for graphics-rich virtual desktops accessible from anywhere. Upgrade path for M10.
vGPU Software Support NVIDIA Virtual Compute Server (vCS) NVIDIA vCS NVIDIA RTX vWS, NVIDIA Virtual PC (vPC), NVIDIA Virtual Apps (vApps), vCS NVIDIA RTX vWS, vPC, vApps, vCS NVIDIA RTX vWS, vPC, vApps, vCS
GPU V100 RTX 8000 RTX 6000 T4 M10 P6
GPU Architecture NVIDIA Volta NVIDIA Turing NVIDIA Turing NVIDIA Turing NVIDIA Maxwell NVIDIA Pascal
Memory Size 32/16 GB HBM2 48 GB GDDR6 24 GB GDDR6 16 GB GDDR6 32 GB GDDR5 (8 GB per GPU) 16 GB GDDR5
Virtualization Workload Ultra-high-end rendering, simulation, and 3D design with NVIDIA vWS. AI, deep learning, and data science with NVIDIA vCS. Work with the largest, most complex RTX enabled rendering, 3D design, and creative applications, with NVIDIA vWS. Mid-range to high-end rendering, 3D design, and creative workflows with RTX applications and NVIDIA vWS. Entry-level 3D design and engineering workflows with Quadro vDWS. High-density, low-power GPU acceleration for knowledge workers with NVIDIA GRID software. AI, deep learning, and data science with vCS Knowledge workers using modern productivity apps and Windows 10. Customers requiring GPUs in a blade-server form factor. Ideal upgrade path for M6.
vGPU Software Support vWS, vPC, vApp, vCS vWS, vPC, vApp, vCS vWS, vPC, vApp, vCS vWS, vPC, vApps, vCS vWS, vPC, vApps vWS, vPC, vApps, vCS

Performance Optimized

NVIDIA A100 Tensor Core

NVIDIA A100

NVIDIA A40

NVIDIA A40

Quadro RTX 8000

Quadro RTX 8000

Quadro RTX 6000

Quadro RTX 6000

Density Optimized

NVIDIA A10

NVIDIA A10

NVIDIA T4 Tensor Core

NVIDIA T4

NVIDIA A16

NVIDIA A16

NVIDIA M10

NVIDIA M10

Blade Optimized

NVIDIA P6

NVIDIA P6

Additional GPUs Supported For Virtualization

NVIDIA RTX A6000

NVIDIA RTX A5000

NVIDIA RTX A5000

NVIDIA V100S/V100

NVIDIA P100

NVIDIA P40

NVIDIA P4

NVIDIA M60

NVIDIA M6

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NVIDIA vGPU software.

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