Enable GPU acceleration for Sibernetic running within stack
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 3.1k
- Forks
- 244
- PR merge metrics
- No merged PRs in 30d
Description
Currently if OpenCL doesn't see the local GPU, it just falls back to the CPU, which makes the stack easily usable by everyone but makes it more challenging to take advantage of high performance. However, we would like to get it working to recognize a local GPU.
We have attempted to do this but drivers on the host need to be set up correctly to enable this and so it adds an additional dependency on the quickstart process.
We'd like to have an easy way to set this up, whether it is an intel GPU, an NVIDIA GPU, or what have you.
Contributor guide
No contributing guide indexed for this repository
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
Review the repository's main Dockerfile and quickstart process first, focusing on how host GPU drivers are exposed to the stack. Done means an easy setup that recognizes local Intel or NVIDIA GPUs while retaining the CPU fallback; no specific tests are named in the issue.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- docker, python
- Domain
- infrastructure, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100