Multi-vGPU

Multi-vGPU attaches several vGPU devices to one VM. Devices may be time-sliced or MIG-backed and can sit on different physical GPUs - you are not limited to slicing one physical GPU across many VMs.

That layout suits training and inference that need multiple GPUs inside one guest: each vGPU is dedicated to that VM, so workloads in the VM do not compete with other VMs on the same physical GPU for those devices (for example, a VM with two A100-class vGPUs versus one).

For peer-to-peer NVLink transfers between vGPUs in the same VM, see Peer-to-Peer CUDA Transfers. For the shared hypervisor support matrix that covers both Multi-vGPU and P2P, see Multi-vGPU and P2P.

vGPU Support for Multi-vGPU

You can assign multiple vGPUs with differing amounts of frame buffer to a single VM, provided the board type and the series of all the vGPUs are the same. For example, you can assign an A40-48C vGPU and an A40-16C time-sliced vGPUs to the same VM. You can also assign an A100-4-20C vGPU and one A100-2-10C vGPU to a VM, both on MIG instances from an A100 board. However, you cannot assign an A30-8C vGPU and an A16-8C vGPU to the same VM.

Blackwell

Table 34 vGPU Support for Multi-vGPU on the NVIDIA Blackwell Architecture

Board	vGPU [1]
NVIDIA HGX B300 279 GB	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: - All NVIDIA vGPU for Compute
NVIDIA HGX B200 180 GB	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: - All NVIDIA vGPU for Compute
NVIDIA RTX PRO 6000 Blackwell Server Edition 96 GB	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: All NVIDIA vGPU for Compute Since VMware vSphere 8.0: All NVIDIA vGPU for Compute
NVIDIA RTX PRO 4500 Blackwell Server Edition 32 GB	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: All NVIDIA vGPU for Compute Since VMware vSphere 8.0: All NVIDIA vGPU for Compute

Hopper

Table 35 vGPU Support for Multi-vGPU on the NVIDIA Hopper GPU Architecture

Board	vGPU [1]
NVIDIA H800 PCIe 94 GB (H800 NVL)	All NVIDIA vGPU for Compute
NVIDIA H800 PCIe 80 GB	All NVIDIA vGPU for Compute
NVIDIA H800 SXM5 80 GB	NVIDIA vGPU for Compute
NVIDIA H200 PCIe 141 GB (H200 NVL)	All NVIDIA vGPU for Compute
NVIDIA H200 SXM5 141 GB	NVIDIA vGPU for Compute
NVIDIA H100 PCIe 94 GB (H100 NVL)	All NVIDIA vGPU for Compute
NVIDIA H100 SXM5 94 GB	NVIDIA vGPU for Compute
NVIDIA H100 PCIe 80 GB	All NVIDIA vGPU for Compute
NVIDIA H100 SXM5 80 GB	NVIDIA vGPU for Compute
NVIDIA H100 SXM5 64 GB	NVIDIA vGPU for Compute
NVIDIA H20 SXM5 141 GB	NVIDIA vGPU for Compute
NVIDIA H20 SXM5 96 GB	NVIDIA vGPU for Compute

Ada Lovelace

Table 36 vGPU Support for Multi-vGPU on the NVIDIA Ada Lovelace Architecture

Board	vGPU
NVIDIA L40	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: All NVIDIA vGPU for Compute Since VMware vSphere 8.0: All NVIDIA vGPU for Compute
NVIDIA L40S	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: All NVIDIA vGPU for Compute Since VMware vSphere 8.0: All NVIDIA vGPU for Compute
NVIDIA L20	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: All NVIDIA vGPU for Compute Since VMware vSphere 8.0: All NVIDIA vGPU for Compute
NVIDIA L4	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: All NVIDIA vGPU for Compute Since VMware vSphere 8.0: All NVIDIA vGPU for Compute
NVIDIA L2	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: All NVIDIA vGPU for Compute Since VMware vSphere 8.0: All NVIDIA vGPU for Compute
NVIDIA RTX 6000 Ada	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: All NVIDIA vGPU for Compute Since VMware vSphere 8.0: All NVIDIA vGPU for Compute
NVIDIA RTX 5880 Ada	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: All NVIDIA vGPU for Compute Since VMware vSphere 8.0: All NVIDIA vGPU for Compute
NVIDIA RTX 5000 Ada	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: All NVIDIA vGPU for Compute Since VMware vSphere 8.0: All NVIDIA vGPU for Compute

Ampere

Table 37 vGPU Support for Multi-vGPU on the NVIDIA Ampere GPU Architecture

Board	vGPU [1]
NVIDIA A800 PCIe 80 GB NVIDIA A800 PCIe 80 GB liquid-cooled NVIDIA AX800	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: All NVIDIA vGPU for Compute Since VMware vSphere 8.0: All NVIDIA vGPU for Compute
NVIDIA A800 PCIe 40 GB active-cooled	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: All NVIDIA vGPU for Compute Since VMware vSphere 8.0: All NVIDIA vGPU for Compute
NVIDIA A800 HGX 80 GB	Since VMware vSphere 8.0: All NVIDIA vGPU for Compute
NVIDIA A100 PCIe 80 GB NVIDIA A100 PCIe 80 GB liquid-cooled NVIDIA A100X	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: All NVIDIA vGPU for Compute Since VMware vSphere 8.0: All NVIDIA vGPU for Compute
NVIDIA A100 HGX 80 GB	Since VMware vSphere 8.0: All NVIDIA vGPU for Compute
NVIDIA A100 PCIe 40 GB	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: All NVIDIA vGPU for Compute Since VMware vSphere 8.0: All NVIDIA vGPU for Compute
NVIDIA A100 HGX 40 GB	Since VMware vSphere 8.0: All NVIDIA vGPU for Compute
NVIDIA A40	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: All NVIDIA vGPU for Compute Since VMware vSphere 8.0: All NVIDIA vGPU for Compute
NVIDIA A30 NVIDIA A30X NVIDIA A30 liquid-cooled	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: All NVIDIA vGPU for Compute Since VMware vSphere 8.0: All NVIDIA vGPU for Compute
NVIDIA A16	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: All NVIDIA vGPU for Compute Since VMware vSphere 8.0: All NVIDIA vGPU for Compute
NVIDIA A10	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: All NVIDIA vGPU for Compute Since VMware vSphere 8.0: All NVIDIA vGPU for Compute
NVIDIA RTX A6000	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: All NVIDIA vGPU for Compute Since VMware vSphere 8.0: All NVIDIA vGPU for Compute
NVIDIA RTX A5500	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: All NVIDIA vGPU for Compute Since VMware vSphere 8.0: All NVIDIA vGPU for Compute
NVIDIA RTX A5000	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: All NVIDIA vGPU for Compute Since VMware vSphere 8.0: All NVIDIA vGPU for Compute

Turing

Table 38 vGPU Support for Multi-vGPU on the NVIDIA Turing GPU Architecture

Board	vGPU
Tesla T4	Generic Linux with KVM hypervisors [2], Red Hat Enterprise Linux KVM, and Ubuntu: All NVIDIA vGPU for Compute Since VMware vSphere 8.0: All NVIDIA vGPU for Compute

Related Topics

• Peer-to-Peer CUDA Transfers - NVLink P2P between vGPUs in the same VM

• Multi-vGPU and P2P - overview page with the hypervisor platform support table that applies to both Multi-vGPU and P2P

• Device Groups - automated topology-aware multi-GPU provisioning

• NVSwitch - NVLink fabric for multi-GPU bandwidth

• Virtual GPU Types for Supported GPUs - full per-board vGPU profile listings

Footnotes

[1] (1,2,3)

This type of vGPU cannot be assigned to the same VM as other types of vGPU.

[2] (1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24)

Refers to Linux with KVM hypervisors listed in the NVIDIA AI Enterprise Infrastructure Support Matrix.