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amd-skills vs VMware Private AI (GPU & Model Serving)

amd-skills is a plugin bundle for AI coding tools published by amd. Marketplaces we read that list it: 1 (Community GitHub marketplaces). VMware Private AI (GPU & Model Serving) is an MCP server published by vmware-skills. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-15. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.

Where each is published

Where each is published
Marketplaceamd-skillsVMware Private AI (GPU & Model Serving)
Community marketplace amd/skills Listed
Version: 0.2.0
Forks (GitHub): 41
Stars (GitHub): 419
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 2.2.0
Downloads/month (PyPI): 943
Downloads/week (PyPI): 118
Forks (GitHub): 0
Stars (GitHub): 0
Not marked · First seen

Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.

The facts side by side

amd-skills vs VMware Private AI (GPU & Model Serving)
Factamd-skillsVMware Private AI (GPU & Model Serving)
Marketplaces that list it11
Stars (GitHub) (differs)419 (better)0 (worse)
Forks (GitHub) (differs)41 (better)0 (worse)
Last release (differs)Not published2026-10-15
Where it runs (differs)Installs as a plugin bundleOn your machine (vmware-privateai)
Transport (differs)Not statedstdio
Tools it declaresNot publishedNot published
Environment variables it asks forNot publishedNot published
Parts of the bundle (differs)5Not a bundle
LicenceNot statedNot stated
Repository (differs)github.com/amd/skillsgithub.com/vmware-skills/vmware-privateai
Changes in the last 7 days (differs)03
First seen2026-10-112026-10-11

Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.

What each says it does

amd-skills

In its own words, on Community GitHub marketplaces:

AMD's verified Agent Skills in one plugin: route image/audio through local AI on Ryzen AI, serve LLMs on AMD Instinct GPUs with vLLM, optimize inference throughput with Hyperloom, and analyze GPU kernel and PyTorch trace performance.

VMware Private AI (GPU & Model Serving)

In its own words, on Official MCP Registry:

VMware Private AI (NVIDIA): GPU inventory, vGPU profiles, utilization, model serving — 17 tools

How to run each

amd-skills As a Claude Code plugin

Claude Code
/plugin marketplace add amd/skills
/plugin install amd-skills@amd-skills

VMware Private AI (GPU & Model Serving) As a local MCP server: PyPI package

Claude Code
claude mcp add --transport stdio vmware-privateai -- uvx vmware-privateai mcp

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Tools each declares

Neither one's marketplaces publish a list of tools, so there is nothing to compare.

Settings each asks for

Neither one's marketplaces publish the settings it asks for.

What it can do: amd-skills · What it can do: VMware Private AI (GPU & Model Serving) · Compare two other plugins

Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.

Where the data comes from: how the catalog is built