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GPUs For Virtualization

COMPARE GPUs For Virtualization

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

View Document: Virtual GPU Linecard (PDF 422 KB)

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 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 A6000

NVIDIA RTX A5000

NVIDIA RTX A5000

QUADRO RTX 8000

NVIDIA RTX 8000

QUADRO RTX 6000

NVIDIA RTX 6000

NVIDIA V100S/V100

NVIDIA V100S/V100

NVIDIA Tesla P100

NVIDIA P100

NVIDIA T4

NVIDIA P40

NVIDIA Tesla P4

NVIDIA P4

NVIDIA P6

NVIDIA Tesla M60

NVIDIA M60

NVIDIA Tesla M6

NVIDIA M10

NVIDIA Tesla M6

NVIDIA M6

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NVIDIA Partner Network (NPN) partner.

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the NVIDIA vGPU solution.

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NVIDIA vGPU software.

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