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AMD

1 post about AMD. Every summary links to the original.

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How to AMD GPU Isolation OpenShift Performance Virtualization
How to Partition AMD GPUs for Shared AI Compute
A five-step how-to for deciding when an AMD Instinct GPU should stay dedicated and when SR-IOV virtual functions, VMs, or sidecar isolation can safely share it.

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Red Hat
GPU virtualization at scale: AMD MI300X SR-IOV on Red Hat OpenStack Services on OpenShift
Enterprise AI environments are moving from dedicated GPU servers to shared accelerator infrastructure, requiring higher GPU utilization with strong isolation. AMD Instinct MI300X GPUs support hardware-assisted SR-IOV in CPX mode, each exposing eight virtual functions with separate PCI and VRAM allocation. When integrated with Red Hat OpenStack Services on OpenShift, the control plane runs on OpenShift while RHEL compute nodes use EDPM, with Nova scheduling VFs via VFIO PCI passthrough. Validation on an 8-GPU system created 64 VFs, demonstrated 64 VMs with one VF each, and tested up to 32 VFs per VM. BabelStream benchmarks showed approximately 96-99% of bare-metal memory bandwidth, while the testing also identified limitations in GPU peer-to-peer DMA and runtime VF lifecycle.

The best engineering reads, once a week.

Topic

1 post about AMD. Every summary links to the original.

See the idea

Loading How to Partition AMD GPUs for Shared AI Compute image
How to AMD GPU Isolation OpenShift Performance Virtualization
How to Partition AMD GPUs for Shared AI Compute
A five-step how-to for deciding when an AMD Instinct GPU should stay dedicated and when SR-IOV virtual functions, VMs, or sidecar isolation can safely share it.

Paid picks we use ourselves. Links carry a referral code — a subscription through one earns us a commission at no extra cost to you.

Newest first

Red Hat
GPU virtualization at scale: AMD MI300X SR-IOV on Red Hat OpenStack Services on OpenShift
Enterprise AI environments are moving from dedicated GPU servers to shared accelerator infrastructure, requiring higher GPU utilization with strong isolation. AMD Instinct MI300X GPUs support hardware-assisted SR-IOV in CPX mode, each exposing eight virtual functions with separate PCI and VRAM allocation. When integrated with Red Hat OpenStack Services on OpenShift, the control plane runs on OpenShift while RHEL compute nodes use EDPM, with Nova scheduling VFs via VFIO PCI passthrough. Validation on an 8-GPU system created 64 VFs, demonstrated 64 VMs with one VF each, and tested up to 32 VFs per VM. BabelStream benchmarks showed approximately 96-99% of bare-metal memory bandwidth, while the testing also identified limitations in GPU peer-to-peer DMA and runtime VF lifecycle.

The best engineering reads, once a week.