[FEATURE] Does BMInf support multiple nodes deployment?
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Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 585
- Forks
- 67
- PR merge metrics
- No merged PRs in 30d
Description
I was reading the documents and the technical paper, seems like the experiment are done in single Node. Does BMInf support to multiple nodes inference deployment for large model like GLM-130?
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 by reviewing the BMInf documentation and the technical paper referenced in the issue, then inspect the inference deployment entry points to determine whether multi-node execution is addressed. Done means establishing the supported deployment scope for large models such as GLM-130 and documenting or implementing the requested multi-node capability.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- distributed-systems, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100