aks-gpu-inference
Diagnose Day-2 AKS GPU and KAITO incidents using profile-aware, read-only evidence. WHEN: 'Insufficient nvidia.com/gpu', GPU pod Pending, model-load OOM, DCGM/VRAM, KAITO Workspace not ready, or GPU autoscaling. DO NOT USE FOR: setup (airunway-aks-setup), non-GPU incidents (aks-troubleshooting), standalone VM quota (azure-quotas), or generic cost (cost-analysis or cost-optimization from the optional azure-cost plugin).
Target: Software development & testing. Automatically collected · unverified.
Excerpt from the author’s documentation
Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.
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Topics in the source
- AKS GPU Inference Day-2
- Quick Reference
- When to Use This Skill
- MCP Tools
- Host Capability Gate
- Workflow
- Error Handling
| Property | Value | |---|---| | Best for | AKS GPU/KAITO failures | | Evidence | Bound target, events/status, gpuProfile, DCGM | Use for scheduling, VRAM/OOM, KAITO readiness, and workload scaling. Route exclusions as described above. Use a fitting host-advertised Azure read or the references' read-only queries. Before executing any referenced pipeline, verify that the host authorizes the required shell and kubectl/az commands against the bound target. File-backed collection also requires approved artifact storage and access to any bundled files it uses. A governed Azure CLI tool alone does not establish these capabilities. Equivalent host reads may replace commands only where their advertised schemas provide the required evidence. If execution is unavailable or prohibited, say so and analyze supplied or redacted events, status, logs, and metrics, or give the operator a scoped collection plan. State which reads did not run and leave conclusions requiring missing evidence unconfirmed. Never route kubectl through Azure MCP or bypass host policy. The authorization requirements below still apply. 1. Bind subscription, cluster, kube context, pool, and affected resource. 2. Capture exac
This is an excerpt. Refer to the complete source and its current requirements.
- Source repository
- microsoft/skills
- Source file
- .github/plugins/aks-skills/skills/aks-gpu-inference/SKILL.md
- Fixed revision
- 9287b443662d2433c85621c7325ee72a0ce499b5
Sources and evidence
This record was collected automatically. Its documentation, suitability and runtime behavior have not been manually verified.
Author: Microsoft Skills · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-10T19:02:05.857Z.
Categories are inferred from names, descriptions and paths. They do not establish compatibility.
License and attribution
MIT. Third-party content and copyright remain with their authors. Refer to the original license and terms.
Original license ↗Synchronization, copying and user-reported success do not mark a resource as runtime-tested.
Limitations and notes
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