VMware Private AI (GPU & Model Serving)
VMware Private AI (NVIDIA): GPU inventory, vGPU profiles, utilization, model serving — 17 tools
Open source Open in the app JSON README (API)
About
VMware Private AI (NVIDIA): GPU inventory, vGPU profiles, utilization, model serving — 17 tools
Details
- Kind
- MCP servers
- Topic
- E-commerce & business
- Publisher
- vmware-skills
- Origin
- official
- Category
- ferramentas
- Transport
- local
- Version
- 1.1.1
- Last push
- 2026-09-05T01:05:30Z
- Repository state
- ativo
- Language
- Python
- License
- MIT
- Added
- 2026-08-29 04:01:39
- Updated
- 2026-09-05 02:00:32
- Origin id
io.github.vmware-skills/vmware-privateai
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.