LAION-AI / LAION-AI/Open-Assistant
Add distributed testing for inference server
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 37.4k
- Forks
- 3.3k
- PR merge metrics
- No merged PRs in 30d
Description
Overview
We want to test the dockerised inference-server under different stress conditions such as;
- Load testing - handling many concurrent of users
- Latency testing - speed of response to users
This should inform changes to the inference server as it can help diagnose bottlenecks in the backend. It also gives us a better idea on the compute requirements for hosting a worker or inference server node in different conditions.
Tasks
- #1622
- #1628
- #1629
- #1623
- #1624
- #1625
- #1626
Context
@yk suggested I work on this and I'm a research engineer at Faculty (https://faculty.ai/) committing almost full time to OS contributions for the foreseeable future
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 dockerised inference-server and the remaining linked tasks: #1628, #1629, and #1623–#1626. The work is done when the server is tested under concurrent-load and latency stress conditions, producing results that inform bottlenecks and hosting requirements.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- docker, python
- Domain
- backend, distributed-systems, performance, testing-qa
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100