skilld
All skills
nvidia avatar

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

@6c6fc09
by NVIDIA Corporationnvidia/skills3.5k stars
424

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.

Ask your Agent

Use this Skill: https://skilld.dev/gh/nvidia/skills/physical-ai-infrastructure-setup-and-resilient-scaling

This session only. Nothing lands on disk.

skill-card.md

≈864 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Description: <br>

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. <br>

This skill is ready for commercial/non-commercial use. <br>

Owner

NVIDIA <br>

License/Terms of Use: <br>

Apache-2.0 <br>

Use Case: <br>

Developers and infrastructure engineers composing cluster, inference, OSMO, and workload stages into a reproducible Physical AI synthetic data generation environment on MicroK8s or Azure AKS, then keeping the environment observable and recoverable. <br>

Deployment Geography for Use: <br>

Global <br>

Known Risks and Mitigations: <br>

Risk: Review before execution as proposals could introduce incorrect or misleading guidance into skills. <br> Mitigation: Review and scan skill before deployment. <br>

Reference(s): <br>

Skill Output: <br>

Output Type(s): [Shell commands, Configuration instructions, Analysis] <br> Output Format: [Markdown with inline bash code blocks] <br> Output Parameters: [1D] <br> Other Properties Related to Output: [None] <br>

Evaluation Tasks: <br>

NVSkills-Eval 3-Tier Evaluation with external profile. Tier 1 static validation ran 9 checks (13 findings). Tier 2 deduplication ran 2 checks (16 findings). Tier 3 live agent evaluation was not available. <br>

Evaluation Metrics Used: <br>

Reported benchmark dimensions: <br>

  • Security: Checks whether skill-assisted execution avoids unsafe behavior such as secret leakage, destructive commands, or unauthorized access. <br>
  • Correctness: Checks whether the agent follows the expected workflow and produces the correct final output. <br>
  • Discoverability: Checks whether the agent loads the skill when relevant and avoids using it when irrelevant. <br>
  • Effectiveness: Checks whether the agent performs measurably better with the skill than without it. <br>
  • Efficiency: Checks whether the agent uses fewer tokens and avoids redundant work. <br>

Skill Version(s): <br>

1.0.0 (source: frontmatter) <br>

Ethical Considerations: <br>

NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal team to ensure this skill meets requirements for the relevant industry and use case and addresses unforeseen product misuse. <br>

(For Release on NVIDIA Platforms Only) <br> Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here. <br>

Source: SKILL.md on GitHub

Third-party checks

2 warnings3mo3 checks · Risk SAFE
  • Gen Agent Trust Hub3mo

    This skill from NVIDIA provides a comprehensive set of tools and instructions for setting up Physical AI infrastructure on Azure AKS or local MicroK8s clusters. The analysis found no malicious patterns; all external downloads are from trusted or well-known services (NVIDIA, Microsoft, HashiCorp, Hugging Face), and the orchestration design prioritizes user visibility through a partitioned multi-agent architecture.

  • Socket3mo

    1 alert: gptAnomaly

  • Snyk3mo

    Risk: MEDIUM · 1 issue

Provenance

Signed by skilld at 6c6fc09. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 4 months ago

Capability

version
1.0.0
tools
[
  "Read",
  "Shell"
]
Other metadata
compatibility
Requires the selected component prerequisites, usually kubectl plus either MicroK8s or Azure CLI/Terraform, and OSMO or inference credentials for the chosen target.
metadata
{
  "author": "NVIDIA Physical AI",
  "tags": [
    "physical-ai",
    "infrastructure",
    "kubernetes",
    "azure",
    "microk8s",
    "osmo",
    "nim-operator",
    "scaling"
  ],
  "domain": "ai-ml",
  "languages": [
    "bash",
    "hcl",
    "yaml"
  ]
}

README badge

README badge for nvidia/skills/physical-ai-infrastructure-setup-and-resilient-scaling