vllm
Chart · Machine learning & AI · standard · v0.0.3
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.
Deployed image digest
sha256:010dd904cf2ddbe4468cf16ac6625cd19492ff767690e149975842a32aa669cdChart OCI version
oci://ghcr.io/quenchworks/charts/vllm:0.0.3The 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 0.25.1
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 0.0.3Deploys image (digest-pinned)
ghcr.io/quenchworks/images/vllm@sha256:010dd904cf2ddbe4468cf16ac6625cd19492ff767690e149975842a32aa669cd- Chart version
- 0.0.3
- App version
- 0.24.0
- Chart license
- Apache-2.0
- App license
- Apache-2.0
- Service port
- 8000
- Signed
- cosign (keyless)
- Values schema
- yes
- Last published
- 2026-07-10
Verify the chart
cosign verify ghcr.io/quenchworks/charts/vllm:0.0.3 \
--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