deepspeedai / deepspeedai/DeepSpeed
[REQUEST] MiCS vs Zero++ hpZ for Hybrid FSDP
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- Python
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Description
Is your feature request related to a problem? Please describe.
I'm interested in hybrid FSDP where the model is replicated across nodes and sharded within node.
My understanding is that this can be achieved through MiCS and / or ZeRO++ hpZ.
Describe the solution you'd like
Better documentation, examples, or tutorials on how these solutions differ and how to best compose these features with Zero3 for a given network topology.
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 or tests; start by examining the existing MiCS, ZeRO++ hpZ, and ZeRO3 documentation and examples. Document how MiCS and hpZ differ, how they compose with ZeRO3, and which choice fits each described network topology, with examples or tutorials showing the configurations.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- distributed-systems, documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 28/100