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physical-ai-infrastructure-setup-and-resilient-scaling

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Use when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS, including Kubernetes clusters, inference endpoint deployment, OSMO deployment, workload submission readiness, and infrastructure failure recovery. Trigger keywords: physical ai infrastructure, resilient scaling, SDG infrastructure, microk8s, azure aks, NVCF deployment, NIM Operator, OSMO deploy, workflow scaling. Don't trigger for: OSMO log summarization or workload-only operations unless infrastructure setup, scaling, validation, or recovery is requested.

skills/physical-ai-infrastructure-setup-and-resilient-scaling/SKILL.md

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Nov 9, 2026

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3,917
Repository last updated
Nov 9, 2026
License
Apache-2.0

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# Physical AI Infrastructure Setup And Resilient Scaling

Canonical skill for the Physical AI infrastructure stack. Use it to compose cluster,
inference, OSMO, and workload stages into a reproducible Physical AI SDG
environment, then keep the environment observable and recoverable.

## Operating Rules

- Read only the component references needed for the selected target. Do not
  load every component by default.
- Keep the repo as the durable artifact. Fix checked-in config or scripts, then
  rerun. Do not recover a failed install with untracked one-off changes.
- Run mutating cluster, OSMO, Helm, Terraform, or Azure operations through
  checked-in scripts when a script exists. Read-only diagnostics are allowed.
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