deepspeedai / deepspeedai/DeepSpeed
[REQUEST] Run autotuning task with Kubernetes
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- Dominant language
- Python
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Description
Can I launch an autotuning task with Kubernetes?
I see the Resource Configuration (multi-node) document. It seems that DeepSpeed will specify the host for each job in autotuning which conflicts with Kubernetes.
The reason I want to use Kubernetes is that the environment(some packages) requirement of each task has conflicts.
Thanks!
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the linked Resource Configuration (multi-node) documentation and the autotuning entry points that assign hosts for each job. Determine whether Kubernetes can supply compatible resources without conflicting host assignment, and define whether done means a supported integration path or clear documentation of the limitation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- kubernetes, python
- Domain
- devops, distributed-systems, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100