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a_t48 | 18 days ago

Is registry OOM protection the only advantage your registry has for large layers? Robotics has a need for Docker tooling that handles large layers/images gracefully. Even if you've done the "right" thing and sideloaded your ML models with some other management system, CUDA layers and such are gigantic.

Edit: looking at this, this is very adjacent to some problems w/ robotics deployments. Fleet management, edge deployment, key management. Neat.

I'd be curious about the multi-artifact support. Can I declare a manifest that binds together multiple services (or a service and an ML model?) Do you support ML models as an artifact?

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