NVIDIA-NeMo / NVIDIA-NeMo/Curator

Supporting Anyscale to run NeMo Curator Jobs

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enhancement
Dominant language
Python
Stars
1.8k
Forks
328
Avg merge
4d 5h
Merged PRs (30d)
30

Description

Currently NeMo Curator can be used on Anyscale, however there is some work that needs to be done to support it better

Gotchya

  1. Set num_cpus / num_gpus on head node to zero
Image
  1. Set higher idle node timeout
Image
  1. Ensure no stage has num_cpus <= 0 otherwise task can be scheduled on head node (See https://github.com/NVIDIA-NeMo/Curator/pull/1209#issuecomment-3483014428)

TODO

  • Allow executors to not schedule on head node / ignore head node (see anyscale docs)
  • Improve Cloud I/O Support
    - [ ] #1214
    - [ ] #1217
    - [ ] #1213
    - [ ] Look into if Anyscale supports mounting cloud paths s.t. all paths are "local"
  • See if notebook vs submitting Ray Jobs are any different?
  • Have some form of QA
  • Have dedicated documentation for Anyscale

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No files or tests are named. Review the TODO list, starting with Ray Data and Ray Actor Pool support in PR #1209, then inspect cloud I/O issues #1214, #1217, and #1213; the work is done when Anyscale execution, QA, and dedicated documentation are addressed.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
cloud, data-engineering, distributed-systems
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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