modelscope / modelscope/DiffSynth-Studio
Qwen edit 2511 training speed
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- Python
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Description
When training with zero2offloading, I have 95% of GPU memory utilization but but only 20% of GPU utilization. And with no offloading it gives me OOM error. I am training it on 8 H100s.
HOw can I increase my GPU utilization
Also would like to know if I have to train it on 5 nodes (each with 8 h100s) Whats the best configuration? Can I use deepspeed 3? Or something like Deepspeed zero++?
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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.
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Research direction
No repository file, test, or entry point is named. Start by reviewing the zero2offloading and no-offloading training configurations described for 8 H100s, then investigate the requested multi-node and DeepSpeed options. Done would require a reproducible explanation and validated configuration for the reported utilization and out-of-memory behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- distributed-systems, machine-learning, performance
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100