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
  A100 A30 A40 A16
GPU Architecture NVIDIA Ampere NVIDIA Ampere NVIDIA Ampere NVIDIA Ampere
Memory Size 80 GB/40 GB HBM2 24 GB HBM2 48 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. Upgrade path for T4. Mid-range to high-end 3D design and creative workflows with NVIDIA RTX® Virtual Workstation (vWS). Upgrade path for Quadro RTX 8000, RTX 6000 or T4. Office productivity applications, streaming video and teleconferencing tools for graphics-rich virtual desktops accessible from anywhere. Upgrade path for M10 or T4.
vGPU Software Support NVIDIA AI Enterprise NVIDIA AI Enterprise NVIDIA RTX vWS, NVIDIA Virtual PC (vPC), NVIDIA Virtual Apps (vApps), NVIDIA AI Enterprise NVIDIA RTX vWS, vPC, vApps, NVIDIA AI Enterprise

Performance Optimized

NVIDIA A100 Tensor Core

NVIDIA A100

NVIDIA A40

NVIDIA A40

NVIDIA A30

NVIDIA A30

Density Optimized

nvidia-ampere-a10-2c50-d

NVIDIA A10

nvidia-ampere-a16-2c50-d

NVIDIA A16

Additional GPUs Supported For Virtualization

NVIDIA RTX A6000

NVIDIA RTX A5000

NVIDIA RTX A5000

QUADRO RTX 8000

NVIDIA RTX 8000

QUADRO RTX 6000

NVIDIA RTX 6000

NVIDIA V100S/V100

NVIDIA P100

NVIDIA T4

NVIDIA T4

NVIDIA P40

NVIDIA P4

NVIDIA P6

NVIDIA P6

NVIDIA M60

NVIDIA M10

NVIDIA M6

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Purchase the NVIDIA vGPU solution from an
NVIDIA Partner Network (NPN) partner.

How to Buy

Find an NVIDIA partner who sells
the NVIDIA vGPU solution.

Download Software

Access the latest
NVIDIA vGPU software.

Get Support

Contact NVIDIA Enterprise
Support.