<!-- mcp-name: io.github.vmware-skills/vmware-privateai -->

# VMware-PrivateAI

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Inspect GPU readiness and VMware Private AI resources before deployment.

English · [简体中文](https://github.com/vmware-skills/VMware-PrivateAI/blob/main/README-CN.md)

Community-maintained · MIT · Not an official VMware/Broadcom/NVIDIA product.

[![24-second illustrative investigation demo](https://raw.githubusercontent.com/vmware-skills/marketplace/main/assets/demos/vmware-skills-en.gif)](https://github.com/vmware-skills/marketplace/releases/download/demos-2026-11-13-operations/vmware-skills-en.mp4)

Synthetic-data GIF; video includes redacted historical screenshots. [Download the AI-narrated family introduction (~3 min)](https://github.com/vmware-skills/marketplace/releases/download/demos-2026-11-13-operations/vmware-skills-en.mp4)

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## Why use it?

- Inspect GPU/vGPU inventory, profiles and utilization.
- Query supported PAIS catalogs and model resources.
- Use local sizing and air-gap bundle inspection.

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## Get started

Install the published CLI and inspect its commands:

```sh
uv tool install vmware-privateai==2.5.3
vmware-privateai --help
```

Requires uv and Python >=3.11. Configure targets and credentials locally before remote queries. [Setup guide](https://github.com/vmware-skills/VMware-PrivateAI/blob/main/skills/vmware-privateai/references/setup-guide.md).

For agent-host installation, use the [setup guide](https://github.com/vmware-skills/VMware-PrivateAI/blob/main/skills/vmware-privateai/references/setup-guide.md) and [Cursor, Codex, Gemini CLI, Cline and local-model examples](https://github.com/vmware-skills/marketplace/blob/main/docs/agent-hosts.md).

Choose a model with the [shared model-fit workflow](https://github.com/vmware-skills/marketplace/blob/main/model-fit/RUNNER.md): compare the same tasks, review quality and safety, then select the smallest tested passing configuration per task group; this is not a production guarantee.

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## Know the boundaries

Includes GPU assignment and related sensitive VM operations. Unknown API shapes stay unknown; PAIS live-validation limits and required Python 3.11+ are documented.

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## Go deeper

- [Capabilities](https://github.com/vmware-skills/VMware-PrivateAI/blob/main/skills/vmware-privateai/references/capabilities.md)
- [CLI reference](https://github.com/vmware-skills/VMware-PrivateAI/blob/main/skills/vmware-privateai/references/cli-reference.md)
- [Detailed usage and architecture](https://github.com/vmware-skills/VMware-PrivateAI/blob/main/skills/vmware-privateai/references/detailed-guide.md)
- [MCP launch configuration](https://github.com/vmware-skills/VMware-PrivateAI/blob/main/.mcp.json)
- [Canonical skill instructions](https://github.com/vmware-skills/VMware-PrivateAI/blob/main/skills/vmware-privateai/SKILL.md)

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Part of [VMware Skills](https://github.com/vmware-skills/marketplace): 15 skills, 14 MCP servers and one shared Policy library. If it helps your work, star the family portal.

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[Issues and feedback](https://github.com/vmware-skills/VMware-PrivateAI/issues) · [MIT](https://github.com/vmware-skills/VMware-PrivateAI/blob/main/LICENSE)