Add support for AMD GPU (gfx1034, RX 6500M) via HIP SDK
- Dominant language
- Python
- Stars
- 1
- Forks
- 0
- PR merge metrics
- No merged PRs in 30d
Description
Currently, the project does not support running on AMD GPUs, specifically the RX 6500M (gfx1034) using the HIP SDK. Add capability to detect and utilize this GPU model for acceleration, ensuring compatibility and optimized performance. Implementation should include:
- Detection of AMD RX 6500M (gfx1034) and HIP SDK integration
- Necessary code changes to enable GPU acceleration with HIP
- Documentation update for installation and configuration steps
- Testing to verify correct operation and performance
Reference:
- [ROCmLibs-for-gfx1103-AMD780M-APU Wiki](https://github.com/likelovewant/ROCmLibs-for-gfx1103-AMD780M-APU/wiki)
Additionally, describe the steps to use the AMD GPU for running Ollama LLM models. Ensure documentation covers how users can configure the system to leverage hardware acceleration for Ollama models, including any dependencies, environment settings, or model compatibility notes.
This will improve hardware compatibility and expand deployment options for users with AMD GPUs.
Contributor guide
No contributing guide indexed for this repository
Research direction
No files or tests are named; begin by locating the project's existing GPU acceleration and installation/configuration entry points. Use the ROCmLibs-for-gfx1103-AMD780M-APU Wiki and the HIP SDK details as references. Done means RX 6500M/gfx1034 detection, HIP acceleration, operation and performance testing, and Ollama usage documentation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- ollama, python
- Domain
- ai, documentation, machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100