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Description
Summary
Replace module-specific Dockerfiles with pre-built images hosted on GHCR for faster deployment.
Context
Currently, each Docker module (like GraspGen) has its own Dockerfile that builds from scratch. This works for development but has drawbacks:
- Long build times (15-30+ min for CUDA compilation)
- Every user rebuilds the same image
- No version control for built images intentional for the current isolation
Proposed Solution for Future Iteration
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Create a generic DimOS base image with CPU/GPU variants:
ghcr.io/dimensionalos/dimos-base:cpu-py310ghcr.io/dimensionalos/dimos-base:gpu-cuda128-py310
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Pre-build module images that extend the base:
ghcr.io/dimensionalos/graspgen:v1.0
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Update
DockerModuleConfigto support pulling pre-built images:docker_image="ghcr.io/dimensionalos/graspgen:v1.0" docker_file=None # No local build needed
Requirements
- Design base image variants (CPU/GPU, Python versions)
- Set up GitHub Actions CI/CD for image publishing
- Handle model checkpoints (LFS or separate download)
- Version tagging strategy
- Documentation for extending base images
Notes
This is deferred until the Docker integration stabilizes. Current Dockerfile approach is the baseline implementation.
Related PR: #1119 (GraspGen Docker integration)
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