The hardware requirement to run the model
Open
- Dominant language
- Python
- Stars
- 442
- Forks
- 93
- PR merge metrics
- No merged PRs in 30d
Description
I configured a vm in GCP to run the DMA model train code. It seems 256GB is need to run it. Is it normal?
Contributor guide
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Research direction
Review the DMA model training code and the GCP VM setup described in the issue, starting by checking the training run's memory usage with the stated 256 GB configuration. Confirm whether 256 GB is expected or identify the actual minimum requirement, then document the result and the setup needed to run the model.
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Assessment
- Tech stack
- gcp, python
- Domain
- cloud, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100