vllm
Chart · Machine learning & AI · standard · v0.0.12
vLLM, the high-throughput LLM inference and serving engine with an OpenAI-compatible API. CPU build — installs vLLM's prebuilt CPU wheel (torch+cpu, no source compile, no CUDA) into a venv on a hardened Wolfi python-3.12 base, 0-CVE across ~140 Python packages. The user supplies the model; the chart runs it as a StatefulSet with a persistent model cache.
Version
The latest line lives at the base page; older lines have their own page so you can pin and verify exactly that version. Only the most recent releases are listed — an older chart pins an older image digest.
Deployed image digest
sha256:2eb890c789d2ab94801f06c55e2e5f6e8e3d5a342e6b797458466d136867535bChart OCI version
oci://ghcr.io/quenchworks/charts/vllm:0.0.12The chart pins its image by this signed digest, so you never track it yourself. Signatures, SBOM, and provenance attach to the same digest.
Security report (Trivy)
Security report (Trivy) · image vllm 0.30.0
Install the chart
Deploy to Kubernetes with hardened defaults. The chart pins its image by signed digest, so you never track it yourself.
Install (latest)
helm install my-vllm oci://ghcr.io/quenchworks/charts/vllm --version 0.0.12Deploys image (digest-pinned)
- vllm0.30.0A+
ghcr.io/quenchworks/images/vllm@sha256:2eb890c789d2ab94801f06c55e2e5f6e8e3d5a342e6b797458466d136867535b
- Chart version
- 0.0.12
- App version
- 0.30.0
- Chart license
- Apache-2.0
- App license
- Apache-2.0
- Service port
- 8000
- Signed
- cosign (keyless)
- Values schema
- yes
- Last published
- 2026-10-11
Verify the chart
cosign verify ghcr.io/quenchworks/charts/vllm:0.0.12 \
--certificate-identity-regexp 'https://github.com/quenchworks/.+' \
--certificate-oidc-issuer https://token.actions.githubusercontent.comTransparency
The chart publishes its attestations on GitHub and the image it deploys carries its own on the same digest, publicly verifiable with the commands above. Both log to the Sigstore transparency log (Rekor), which cosign verify checks for you.
Upstream project: https://docs.vllm.ai