VMware Private AI (NVIDIA): GPU inventory, vGPU profiles, utilization, model serving β 10 tools
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
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 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 β 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) β no endpoints written from memory.
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