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Currently there is a Kubernetes backend for full remote distributed training and SubProcess backend for Local execution.
The proposal is to add an additional backend for Docker, also to be used in a Local context.
Why is this needed?
This bridges the gap between the current subprocess backend and a full kubernetes backend by facilitating training in a containerised environment and across multiple containers.
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