[Python][GPU] numba-cuda dependency is maintenance mode only
- Dominant language
- C++
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Description
### Describe the enhancement requested
The [numba-cuda](https://github.com/NVIDIA/numba-cuda) project added a maintenance notice:
> Numba-CUDA is in maintenance mode. Moving forward, we intend to support only security issues and critical bug fixes through the lifetime of CUDA 13. New feature development is targeted towards [Numba-CUDA-MLIR](https://github.com/NVIDIA/numba-cuda-mlir), and we recommend upgrading to Numba-CUDA-MLIR as soon as practical. For migration guidance, see [Migration from Numba / Numba-CUDA](https://github.com/NVIDIA/numba-cuda-mlir#migration-from-numba--numba-cuda).
We should probably deprecate our usage of numba-cuda and migrate to numba-cuda-mlir. Not an expert on this area but using a deprecated maintenance only dependency doesn't sound great.
### Component(s)
GPU, Python
Contributor guide
Research direction
Start by locating the current numba-cuda dependency and the GPU-related Python code that uses it. Read the linked Numba-CUDA-MLIR migration guidance and determine the scope of replacing the dependency; done should mean the supported GPU Python paths and their tests work with the replacement.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100