# VMware Private AI (GPU & Model Serving) [Health: Active]

**Category:** 💻 Developer Tools  
**Repository:** https://github.com/vmware-skills/VMware-PrivateAI  
**GitHub Stars:** 0  
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**Directory Page:** https://allmcps.com/mcp/vmware-private-ai-gpu-model-serving

## Description
VMware Private AI (NVIDIA): GPU inventory, vGPU profiles, utilization, model serving — 10 tools

## Claude Desktop Quick Installation
Heuristic fallback — verify the package name and runner against the repository README before running it. Uses `npx` (confidence: low):

```json
"mcpServers": {
  "vmware-private-ai-gpu-model-serving": {
    "command": "npx",
    "args": ["-y","vmware-private-ai-gpu-model-serving"]
  }
}
```

## Documentation & README

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

# VMware Private AI (Foundation with NVIDIA) — GPU & Model-Serving Ops

> **Disclaimer**: This is a community-maintained open-source project and is **not affiliated with,
> endorsed by, or sponsored by VMware, Inc., Broadcom Inc., or NVIDIA Corporation.** "VMware", "vSphere",
> and "VCF" are trademarks of Broadcom; "NVIDIA" is a trademark of NVIDIA. Source is auditable at
> [github.com/vmware-skills/VMware-PrivateAI](https://github.com/vmware-skills/VMware-PrivateAI) under the MIT license.

> **Status: pre-MVP skeleton (2026-08-06).** Skill #15 of the VMware family. Manages the **GPU / AI-infrastructure
> layer** of VMware Private AI Foundation with NVIDIA (PAIF-N) on vSphere 9.x / VCF 9.1 — GPU host/device
> inventory, vGPU & DirectPath profiles, GPU consumers and utilization, vGPU assignment, and Private AI
> Service (PAIS) model serving. Independent 1.x version line.

Companion of **vmware-aiops** (the vCenter VMs behind AI workloads), **vmware-vks** (GPU-enabled Kubernetes),
and **vmware-monitor** (read-only health). This skill is the GPU lens over all three.

Every API path is verified against official Broadcom/NVIDIA docs before use (see
`tests/eval/spec/privateai_endpoints.py`) — no endpoints written from memory.