You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Installing RAPIDS via pip should work with only CUDA wheels, with no requirement for a system CUDA Toolkit (only a driver).
Benefits:
This would allow us to shrink our citestwheel CI image significantly.
Users would use a single, consistent CTK source for all libraries adjacent to RAPIDS
Work tracked in #35, #137 added support for using CUDA wheels for math libraries. I think we already statically link the runtime in all our wheel builds, which is discussed in #4.
The action items I know of are primarily in RAPIDS dependencies, including cupy and numba-cuda:
Installing RAPIDS via
pip
should work with only CUDA wheels, with no requirement for a system CUDA Toolkit (only a driver).Benefits:
citestwheel
CI image significantly.Work tracked in #35, #137 added support for using CUDA wheels for math libraries. I think we already statically link the runtime in all our wheel builds, which is discussed in #4.
The action items I know of are primarily in RAPIDS dependencies, including cupy and numba-cuda:
This issue should be used to track those items and any other dependencies.
The text was updated successfully, but these errors were encountered: