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New blog for dynamic resource allocation with NVIDIA virtualized GPU (vGPU)#5616

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sdesai345 wants to merge 16 commits intoAzure:masterfrom
sdesai345:patch-2
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New blog for dynamic resource allocation with NVIDIA virtualized GPU (vGPU)#5616
sdesai345 wants to merge 16 commits intoAzure:masterfrom
sdesai345:patch-2

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Goal: publish for Kubernetes 1.35 AI conformance submission

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Pull request overview

Adds a new AKS blog post describing how to enable Kubernetes Dynamic Resource Allocation (DRA) for NVIDIA vGPU-backed node pools, targeting Kubernetes 1.35 AI conformance readiness.

Changes:

  • Introduces a new blog post with end-to-end setup steps for DRA + NVIDIA vGPU on AKS (node pool, labels, Helm install, verification).
  • Documents key Helm values and verification commands for DeviceClass and ResourceSlice discovery.

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Copilot AI review requested due to automatic review settings February 20, 2026 15:36
sdesai345 and others added 2 commits February 20, 2026 10:36
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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Pull request overview

Copilot reviewed 1 out of 1 changed files in this pull request and generated 3 comments.

sdesai345 and others added 2 commits February 20, 2026 10:42
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Copilot AI review requested due to automatic review settings February 20, 2026 15:43
sdesai345 and others added 2 commits February 20, 2026 10:45
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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Pull request overview

Copilot reviewed 2 out of 2 changed files in this pull request and generated 5 comments.

Copilot AI review requested due to automatic review settings February 20, 2026 15:58
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Pull request overview

Copilot reviewed 2 out of 2 changed files in this pull request and generated 1 comment.

sdesai345 and others added 2 commits February 20, 2026 11:01
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Copilot AI review requested due to automatic review settings February 20, 2026 20:01
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Pull request overview

Copilot reviewed 2 out of 2 changed files in this pull request and generated 3 comments.

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Copilot AI review requested due to automatic review settings February 23, 2026 14:18
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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Pull request overview

Copilot reviewed 2 out of 2 changed files in this pull request and generated no new comments.

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My main comment is, how is this article different from https://blog.aks.azure.com/2025/11/17/dra-devices-and-drivers-on-kubernetes#run-a-gpu-workload-using-dra-drivers ?
Should we add a vCPU specific example?

@@ -0,0 +1,158 @@
---
title: "DRA with NVIDIA virtualized GPU on AKS"
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Suggested change
title: "DRA with NVIDIA virtualized GPU on AKS"
title: "Dynamic Resource Allocation (DRA) with NVIDIA virtualized GPU (vGPU) on AKS"

tags: ["gpu", "performance", "operations"]
---

In recent months, dynamic resource allocation (DRA) has emerged as the standard mechanism to consume GPU resources in Kubernetes. With DRA, accelerators like GPUs are no longer exposed as static extended resources (for example, `nvidia.com/gpu`) but are dynamically allocated through `DeviceClasses` and `ResourceClaims`. This unlocks richer scheduling semantics and better integration with virtualization technologies like NVIDIA vGPU.
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Suggested change
In recent months, dynamic resource allocation (DRA) has emerged as the standard mechanism to consume GPU resources in Kubernetes. With DRA, accelerators like GPUs are no longer exposed as static extended resources (for example, `nvidia.com/gpu`) but are dynamically allocated through `DeviceClasses` and `ResourceClaims`. This unlocks richer scheduling semantics and better integration with virtualization technologies like NVIDIA vGPU.
Recently, dynamic resource allocation (DRA) has emerged as the standard mechanism to consume GPU resources in Kubernetes. With DRA, accelerators like GPUs are no longer exposed as static extended resources (for example, `nvidia.com/gpu`) but are dynamically allocated through `DeviceClasses` and `ResourceClaims`. This unlocks richer scheduling semantics and better integration with virtualization technologies like NVIDIA vGPU.

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@allyford allyford left a comment

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A couple nits, but overall looks great

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4 participants