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Deploy and manage Azure infrastructure for the Physical AI Toolchain including Terraform IaC, Kubernetes setup, GPU configuration, and network topology
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/microsoft/physical-ai-toolchain --skill infrastructureコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
Generate, transfer, and consume environment-specific Azure, AKS, OSMO, ACR, and Azure ML deployment bundles. Use when: discovering deployed environment details; creating OSMO image manifests or platform values; preparing a HiL host; uploading or downloading deployment files through Azure Key Vault; or deploying with generated environment configuration.
Start and interact with the Dataset Analysis Tool (dataviewer) for browsing, annotating, and exporting robotic training episodes
Submit, monitor, analyze, and evaluate LeRobot imitation learning training jobs on OSMO with Azure ML MLflow integration and inference evaluation - Brought to you by microsoft/physical-ai-toolchain
SOC 職業分類に基づく
SKILL.md を表示中
| name | infrastructure |
| description | Deploy and manage Azure infrastructure for the Physical AI Toolchain including Terraform IaC, Kubernetes setup, GPU configuration, and network topology |
Deploy and manage Azure cloud infrastructure for the Physical AI Toolchain — Terraform IaC, AKS cluster configuration, GPU node pools, and network topology.
| Tool | Requirement |
|---|---|
| Azure CLI | az login authenticated |
| Terraform | 1.5+ |
| kubectl | Matching cluster version |
| Helm | 4.2+ |
| shellcheck | For script validation |
Follow these steps in order for a complete deployment.
source infrastructure/terraform/prerequisites/az-sub-init.sh
Exports ARM_SUBSCRIPTION_ID and validates Azure CLI authentication.
cd infrastructure/terraform
cp terraform.tfvars.example terraform.tfvars
Edit terraform.tfvars with environment-specific values. Example configurations are in infrastructure/examples/:
| File | Scenario |
|---|---|
terraform.tfvars.dev | Single spot GPU pool, public networking |
terraform.tfvars.prod | Multiple GPU pools, full private networking, HA |
terraform.tfvars.hybrid | Private data services, public AKS API server |
terraform init
terraform plan -var-file=terraform.tfvars
terraform apply -var-file=terraform.tfvars
Required when should_enable_private_aks_cluster = true:
cd infrastructure/terraform/vpn
terraform init && terraform apply
az aks get-credentials --resource-group <rg> --name <aks>
kubectl cluster-info
cd infrastructure/setup
./01-deploy-robotics-charts.sh
./02-deploy-azureml-extension.sh
./03-deploy-osmo.sh
Scripts must run in numeric order. Each supports --config-preview for dry-run output.
Three network modes control connectivity and security:
| Mode | should_enable_private_endpoint | should_enable_private_aks_cluster | VPN Required |
|---|---|---|---|
| Full Private | true | true | Yes |
| Hybrid | true | false | No |
| Full Public | false | false | No |
Full Private is the default and recommended for production. Hybrid mode allows kubectl access without VPN while keeping data services private.
cd infrastructure/terraform
terraform plan -var-file=terraform.tfvars
terraform apply -var-file=terraform.tfvars
terraform destroy -var-file=terraform.tfvars
cd infrastructure/terraform/vpn
terraform init && terraform apply
cd infrastructure/terraform/dns
terraform init && terraform apply
shellcheck infrastructure/setup/01-deploy-robotics-charts.sh
infrastructure/setup/01-deploy-robotics-charts.sh --config-preview
terraform fmt -check -recursive infrastructure/terraform/
infrastructure/
├── terraform/ # Infrastructure as Code
│ ├── main.tf # Module composition
│ ├── variables.tf # Input variables
│ ├── outputs.tf # Output values
│ ├── versions.tf # Provider requirements
│ ├── terraform.tfvars.example # Example configuration
│ ├── prerequisites/ # Azure subscription setup
│ ├── modules/ # Terraform modules
│ ├── vpn/ # Standalone VPN deployment
│ ├── automation/ # Standalone automation deployment
│ └── dns/ # Standalone DNS deployment
├── setup/ # Post-deploy cluster configuration
│ ├── 01-deploy-robotics-charts.sh # GPU Operator, KAI Scheduler
│ ├── 02-deploy-azureml-extension.sh # AzureML K8s extension
│ ├── 03-deploy-osmo.sh # OSMO control plane and backend
│ ├── defaults.conf # Central version and namespace config
│ └── lib/ # Shared shell libraries
├── specifications/ # Domain specification documents
└── examples/ # Example tfvars configurations
| GPU | VM SKU | Driver Source | gpu_driver | MIG Strategy |
|---|---|---|---|---|
| A10 | Standard_NV36ads_A10_v5 | AKS-managed | Install | N/A |
| RTX PRO 6000 | Standard_NC128ds_xl_RTXPRO6000BSE_v6 | GRID DaemonSet | None | single |
| H100 | Standard_NC40ads_H100_v5 | GPU Operator | None | Disabled |
RTX PRO 6000 nodes require nvidia.com/gpu.deploy.driver=false label to prevent GPU Operator driver conflicts.
| Guide | Description |
|---|---|
| Infrastructure README | Domain overview and quick start |
| Terraform README | Terraform configuration reference |
| Setup README | Setup script reference |
| Infrastructure Deployment | Full deployment walkthrough |
| GPU Configuration | Detailed GPU driver and operator reference |