sgl-project / sgl-project/SpecForge
Supports multi-machine training
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- Dominant language
- Python
- Stars
- 1.2k
- Forks
- 347
- Avg merge
- 4d 1h
- Merged PRs (30d)
- 41
Description
Hello, does SpecForge support multi-machine training mode?
I've been training with a single machine with 8 GPUs, but now the training data volume has increased significantly. I'd like to use two single machines with 8 GPUs each, totaling 16 GPUs for training. Is this supported currently?
Contributor guide
No contributing guide indexed for this repository
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
No files, tests, or entry points are named. Start by locating the existing single-machine training entry point and its distributed-training configuration, then determine whether two 8-GPU machines are supported and what changes or documentation would be needed to make multi-machine training work.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- 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