The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the VMware Private AI (GPU & Model Serving) listing page.
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 — 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.