Blackwell Architecture vGPU Types#
The NVIDIA Blackwell architecture represents the latest generation of GPU technology, delivering unprecedented performance for AI training and inference workloads. Blackwell GPUs feature advanced Multi-Instance GPU (MIG) capabilities and support both MIG-backed and time-sliced vGPU configurations, enabling flexible resource allocation and optimal GPU utilization in virtualized environments.
Key features include high-bandwidth memory, enhanced tensor cores, and support for large language models and generative AI applications. The architecture is designed for enterprise AI deployments requiring maximum performance, scalability, and efficiency.
MIG-Backed and Time-Sliced NVIDIA vGPU for Compute#
Physical GPUs per board: 1
The maximum number of vGPUs per board is the product of the maximum number of vGPUs per GPU and the number of physical GPUs per board.
Required license edition: NVIDIA AI Enterprise
MIG-Backed NVIDIA vGPU for Compute
For details on GPU instance profiles, refer to the NVIDIA Multi-Instance GPU User Guide.
Time-Sliced NVIDIA vGPU for Compute
Intended use cases:
vGPUs with more than 40 GB of framebuffer: Training Workloads
vGPUs with 40 GB of framebuffer: Inference Workloads
These vGPU types support a single display with a fixed maximum resolution.
Virtual GPU Type |
Framebuffer (GB) |
Maximum vGPUs per GPU |
Slices per vGPU |
Compute Instances per vGPU |
Corresponding GPU Instance Profile |
|---|---|---|---|---|---|
B200X-7-180C |
180 |
1 |
7 |
7 |
MIG 7g.180gb |
B200X-4-90C |
90 |
1 |
4 |
4 |
MIG 4g.90gb |
B200X-3-90C |
90 |
2 |
3 |
3 |
MIG 3g.90gb |
B200X-2-45C |
45 |
3 |
2 |
2 |
MIG 2g.45gb |
B200X-1-45C |
45 |
4 |
1 |
1 |
MIG 1g.45gb |
B200X-1-23C |
22.5 |
7 |
1 |
1 |
MIG 1g.23gb |
B200X-1-23CME |
22.5 |
1 |
1 |
1 |
MIG 1g.23gb+me |
Footnotes