GPUs for Virtualization

Compare GPUs for Virtualization

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

  A100 A30 L40 L4 A16
GPU Architecture NVIDIA Ampere NVIDIA Ampere NVIDIA Ada Lovelace NVIDIA Ada Lovelace NVIDIA Ampere
Memory Size 80GB / 40GB HBM2 24GB HBM2 48GB GDDR6 with ECC 24GB GDDR6 64GB GDDR6 (16GB 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. High-end 3D visualization applications, AI training, and inference workloads. Upgrade path for Quadro® RTX 8000, Quadro RTX 6000, or T4. Entry-level to mid-range design and creative workloads for virtual workstations. Video streaming, office productivity tools for virtual desktops. Upgrade path for 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 Virtual Workstation (vWS), NVIDIA Virtual PC (vPC), NVIDIA Virtual Apps (vApps), NVIDIA AI Enterprise* NVIDIA RTX vWS, vPC, vApps, NVIDIA AI Enterprise NVIDIA RTX vWS, vPC, vApps, NVIDIA AI Enterprise

Performance Optimized

NVIDIA A100 Tensor Core

NVIDIA A100

NVIDIA L40

NVIDIA L40

NVIDIA L4

NVIDIA L4

NVIDIA A30

NVIDIA A30

Density Optimized

NVIDIA A16

NVIDIA A16

Additional GPUs Supported for Virtualization

NVIDIA RTX 6000 Ada Generation

NVIDIA RTX A6000

NVIDIA RTX A5500

NVIDIA RTX A5500

NVIDIA RTX A5000

NVIDIA RTX A5000

NVIDIA A10

NVIDIA A10

QUADRO RTX 8000

NVIDIA RTX 8000

NVIDIA A40

NVIDIA A40

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 A2

NVIDIA M10

NVIDIA M6

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