Principle:Ray project Ray Docker Image Building
| Knowledge Sources | |
|---|---|
| Domains | Build_Systems, Containerization |
| Last Updated | 2026-02-13 17:00 GMT |
Overview
A containerization process that packages the Ray runtime and its dependencies into Docker images for reproducible deployments.
Description
Docker Image Building produces container images that bundle the Ray runtime with all dependencies. Two image layers are produced: a base-deps image (OS + Python + system dependencies) and a ray image (base-deps + Ray wheels). GPU variants include CUDA and cuDNN libraries.
Usage
Build Docker images for cluster deployment, CI testing, or developer environments.
Theoretical Basis
Docker images provide environment encapsulation — all runtime dependencies are captured in immutable image layers, ensuring identical execution environments across development, testing, and production.
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