Back in 2019 when Azure launched the first GPU-partitioned (GPU-P) virtual machine (VM) offering in the public cloud, our customers loved it and asked for a similar offering on the edge with Azure St...
Updated Dec 12, 2022
Version 3.0
Blog Post
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Accelerate your edge workloads with affordable NVIDIA GPU-powered Azure Stack HCI solutions
1. In GPU-P we only offer partitions and does not leverage pools. For failover scenarios, GPU-P works similar to DDA where the VM is powered down, moved and assigned a partition if a node is drained. We are working on live migration support in the near future.
Please review our documentation page: https://learn.microsoft.com/en-us/azure-stack/hci/manage/partition-gpu?tabs=windows-admin-center
2, 3. Nvidia requires you to purchase licenses, you will need to consult with Nvidia for licenses that work best for your scenario. Please review Nvidia's release notes for further details: https://docs.nvidia.com/grid/15.0/grid-vgpu-release-notes-microsoft-azure-stack-hci/index.html
4. It is the same as Azure Stack HCI 22H2:
- Citrix Cloud CVAD service.
- Citrix Provisioning Service 2106
- VMM 2022
5. Sizer TBD