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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 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.

The one write, vgpu_assign, takes confirm (default false). Without it the call returns blast_radius — the VM's name and id, current and target profile, whether its vGPU device is edited or a new one added, power state, blockers and unmeasured — and changes nothing. confirm=true is refused for a powered-on or suspended VM, a name shared by several VMs, and a VM whose power state or devices cannot be read. It never powers a VM off itself.

Release files for vmware-privateai 1.4.0

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Source distribution (sdist)

Source distribution for vmware-privateai 1.4.0
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vmware_privateai-1.4.0.tar.gz 186.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for vmware-privateai 1.4.0
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vmware_privateai-1.4.0-py3-none-any.whl Python 3 none any Details

Total release size: 260.5 kB

Release files / vmware_privateai-1.4.0.tar.gz

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