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

You can automate Kubernetes infrastructure provisioning for NVIDIA Physical AI on Azure AKS by using this Skill to orchestrate end-to-end cluster setup, OSMO deployment, and inference endpoint configuration with deterministic preflight validation gates.

Resilient scaling for MicroK8s Physical AI infrastructure works by automating recovery flows that handle infrastructure failures or misconfigurations, ensuring workload readiness and preventing unsafe deployments through deterministic post-check gates.

Yes, you need Terraform and Azure CLI to set up OSMO deployment and inference endpoints on AKS. For MicroK8s setups, you primarily need kubectl, along with appropriate credentials to manage secrets safely and run preflight checks.

The best way to validate workload readiness in SDG pipelines is to run deterministic preflight and post-check gates that verify cluster configurations, OSMO deployments, and inference endpoints before executing infrastructure failure recovery.

Physical AI infrastructure deployments fail preflight checks when the environment lacks required dependencies like az, terraform, kubectl, helmfile, or jq, or when credentials are missing for safe secret management and component reference loading.

Yes, you can use MicroK8s instead of Azure AKS for Physical AI infrastructure scaling. The Skill supports both platforms, allowing you to provision clusters, deploy OSMO, and manage resilient scaling with kubectl.