vss-deploy-warehouse-helm skillA
vss-deploy-warehouse-helm is agent-read markdown (skill) from nvidia-ai-blueprints/video-search-and-summarization: Use when the user asks to deploy, upgrade, or size the VSS warehouse blueprint (2D / 3D / MV3DT) on Kubernetes via Helm — as opposed to Docker Compose, which is covered by vss-build-vision-ai's warehouse reference. Handles GPU-aware NUM_STREAMS capping so the deployment matches what the perception pipeline can actually sustain..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# VSS Warehouse — Helm Deploy
Do not use this skill for:
- Docker Compose warehouse deployment — use `vss-build-vision-ai`'s
[`references/warehouse.md`](../../vss-build-vision-ai/references/profiles/warehouse.md); it owns the
`HARDWARE_PROFILE` → GPU mapping table and the `blueprint_config.yml` stream-cap semantics
this skill reuses.
- Non-warehouse Helm profiles (`base`, `search`, `lvs`, `alerts`) — those don't have a
`bp-configurator` GPU-aware stream cap; deploy them per their own chart READMEs.
- Runtime operations (adding cameras, querying behavior analytics) — use `vss-manage-alerts` /
`vss-query-analytics` against the running deployment.
## Why this exists
Docker Compose's warehouse deploy caps `NUM_STREAMS` per GPU automatically: the configurator reads
`deploy/docker/industry-profiles/warehouse-operations/blueprint-configurator/blueprint_config.yml`'s
`max_streams_supported` table for the detected `HARDWARE_PROFILE` and mode, and clamps
`final_stream_count = min(NUM_STREAMS, max_streams_supported)`.
The Helm charts (`deploy/helm/industry-profiles/warehouse-operations/warehouse-{2d,3d,mv3dt}-app`)
…Read the whole file at its exact version.
How to install
mdr add nvidia-ai-blueprints/video-search-and-summarization/vss-deploy-warehouse-helm@v1.0.0mdr add nvidia-ai-blueprints/video-search-and-summarization/vss-deploy-warehouse-helm@sha256:8622ba9cf2cfe957Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_3f7kvfessijpfgjt)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-09-14 | 4ac059f | 16,487 B | A | view · diff |
| v1.0.0 | 2026-09-02 | 485bdd2 | 16,489 B | A | view · diff |
| v1.0.0 | 2026-09-01 | d43fd15 | 15,468 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (16487 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
nvidia-ai-blueprints/video-search-and-summarization · 1,876 stars · license NOASSERTION · pushed 2026-09-24 · branch develop
API
GET https://markdownregistry.com/api/v1/artifacts/art_3f7kvfessijpfgjt GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-ai-blueprints/video-search-and-summarization/vss-deploy-warehouse-helm GET https://markdownregistry.com/api/v1/blob/8622ba9cf2cfe95718ef727f614db198a2d289135c50c35dd617f24589d18c7c
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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