Colibri explained: streaming MoE experts across storage, RAM and VRAM
Deploying Colibri: engine, launcher, model volume and API boundary
Inventory runtime dependencies and recovery state before exposing inference as a service.
What you will learn
- Package the complete runtime
- Treat the model volume as a versioned dependency
- Recover with compatible artifacts
Before you start
- Basic Python and command-line knowledge
- A documented hardware and storage inventory
Create a reproducibility ledger before attempting another inference optimization.
Key takeaways
- An engine binary is not the entire runtime.
- OpenMP runtime can be missing on minimal Linux.
- Public API security needs separate verification.
Package the complete runtime
A C executable and a Python launcher are different artifacts. On Windows the quickstart identifies colibri.exe as the engine and coli plus Python support files as the user-facing tooling. Preserve their expected relative layout.
On minimal Linux hosts, the quickstart warns that libgomp.so.1 may be missing even when the engine binary exists. Diagnose runtime libraries before rebuilding or blaming model credentials; the local inference path is not a hosted model login.
Treat the model volume as a versioned dependency
Record engine revision, model revision, quantization format and storage location together. Ensure the service identity can read the model while avoiding write access it does not need. Keep logs and temporary files away from full model volumes.
The repository advertises serve and web entry points, but this review does not inspect their full authentication or binding implementation. Do not expose either publicly based on an assumed secure default; verify listener and access policy first.
Recover with compatible artifacts
Keep the previous executable, launcher files and model-format record. A rollback of code may not understand a newly converted container, so test the combination on a bounded prompt before switching traffic.
Pause new requests before replacing runtime files. Retain redacted failure logs and verify a known-answer prompt after restoration. This article does not claim a deployed API, a successful upgrade or a production availability test.
Decision guide
| Criterion | Option A | Option B |
|---|---|---|
| Best when | You need predictable behavior and easy auditing | You need adaptive optimization and have reliable telemetry |
| Main risk | May leave performance on the table | Can become difficult to explain or debug |
Implementation steps
- 1
Inventory engine, Python tools and runtime libraries.
- 2
Record model format and service permissions.
- 3
Test compatible rollback before remote exposure.
Copy-ready example
runtime:
engine: pinned-build
launcher: matching-source-layout
model: versioned-read-only-volume
listener: verify-before-exposure
rollback: tested-engine-model-pairFrequently asked questions
Why can a copied binary fail before producing output?
The quickstart identifies missing libgomp.so.1 as one possible cause on minimal Linux hosts.
Is the server authentication verified here?
No. The full gateway authentication and network binding paths were not audited.
Sources
- Colibri / docs/quickstart.mdSource checked 2026-09-23
- Colibri / README.mdSource checked 2026-09-23