deepspeedai / deepspeedai/DeepSpeed
【Question】How deepspeed allocates data according to different GPUs. For example, I have two types of GPUs: 16G and 32G
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enhancement
- Dominant language
- Python
- Stars
- 43.1k
- Forks
- 5k
- Avg merge
- 4d 15h
- Merged PRs (30d)
- 112
Description
### Tasks
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
The issue names no files, tests, or entry points and contains only an empty tasklist. First clarify whether the question concerns training or inference and what allocation behavior is expected for mixed 16G and 32G GPUs; completion would require a documented, reproducible answer.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- distributed-systems, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100