jaewan / jaewan/accelerator_disaggregation

add baselines

Open
#18 0 comments 0 reactions 0 assignees View on GitHub
Dominant language
Python
Stars
1
Forks
1
PR merge metrics
No merged PRs in 30d

Description

1. BERT
2. Autoscaling
- Ray Autoscale (spawn a new VM and distribute using Ray server autoscale)
- Migrate to a bigger(or smaller) GPU

Contributor guide

No contributing guide indexed for this repository

Research direction

The issue contains no file, test, or entry-point references, so first inspect the repository structure and existing baseline or deployment code. Clarify the intended BERT baseline and whether Ray VM autoscaling, GPU resizing, or both are required; done should be defined by reproducible baseline results and agreed autoscaling behavior.

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
25/100

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