Getting started

Coelanox is pilot-ready for controlled deployments. This page outlines a practical evaluation path for platform, security, and ML engineering stakeholders.

1. Clarify the problem

Typical triggers for evaluation include:

• Need governed promotion of model artifacts across environments
• Need integrity or provenance checks before inference runs in production
• Need predictable runtime behavior and policy limits (airgapped or regulated settings)

2. Define success criteria

Agree on measurable outcomes: deployment repeatability, auditability, latency envelopes, or operational guardrails. Coelanox is designed to reduce ambiguity at the packaging-to-runtime boundary—not to replace your training stack.

3. Run a scoped pilot

Start with a narrow workload and environment (for example, one model family and one target runtime). Expand after trust controls and operational behavior are validated.

4. Next steps

Read Architecture for system boundaries, and CLI reference for the command surface used in technical previews.