## Description:
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.
This skill is ready for commercial/non-commercial use.
## Owner
NVIDIA
### License/Terms of Use:
Apache-2.0
## Use Case:
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.
### Deployment Geography for Use:
Global
## Known Risks and Mitigations:
Risk: Review before execution as proposals could introduce incorrect or misleading guidance into skills.
Mitigation: Review and scan skill before deployment.
## Reference(s):
- [Cluster Azure Reference](components/cluster-azure/reference.md)
- [Cluster MicroK8s Reference](components/cluster-microk8s/reference.md)
- [NIM Operator Inference Reference](components/inference-nim-operator/reference.md)
- [NVCF Inference Reference](components/inference-nvcf/reference.md)
- [Azure AI Foundry Inference Reference](components/inference-azure/reference.md)
- [OSMO Azure Reference](components/osmo-azure/reference.md)
- [OSMO Kubernetes Reference](components/osmo-k8s/reference.md)
- [OSMO CLI Reference](components/osmo-cli/reference.md)
## Skill Output:
**Output Type(s):** [Shell commands, Configuration instructions, Analysis]
**Output Format:** [Markdown with inline bash code blocks]
**Output Parameters:** [1D]
**Other Properties Related to Output:** [None]
## Evaluation Tasks:
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.
## Evaluation Metrics Used:
Reported benchmark dimensions:
- Security: Checks whether skill-assisted execution avoids unsafe behavior such as secret leakage, destructive commands, or unauthorized access.
- Correctness: Checks whether the agent follows the expected workflow and produces the correct final output.
- Discoverability: Checks whether the agent loads the skill when relevant and avoids using it when irrelevant.
- Effectiveness: Checks whether the agent performs measurably better with the skill than without it.
- Efficiency: Checks whether the agent uses fewer tokens and avoids redundant work.
## Skill Version(s):
1.0.0 (source: frontmatter)
## Ethical Considerations:
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.
(For Release on NVIDIA Platforms Only)
Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns [here](https://app.intigriti.com/programs/nvidia/nvidiavdp/detail).