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Since rapidsai#1909, we've been able to use older versions of the CUDA driver, since we no longer rely on `cudaLibraryEnumerateKernels()`. Since rapidsai#1918, we've been using static cudart, which allows us to run on platforms with versions of CUDA older than 12.8 installed, since the runtime library API is now bundled with cuvs. Always build with JIT+LTO so that we can get the full compile time and binary size benefits in CUDA 12 too.
KyleFromNVIDIA
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KyleFromNVIDIA
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Mar 16, 2026
divyegala
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Mar 16, 2026
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It seems that even after #1918, we're still not using We have to get rmm on |
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We've decided to switch to the driver API instead, since rmm is blocked on rapidsai/cudf#20814, which in turn is also blocked. |
divyegala
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divyegala
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Mar 16, 2026
divyegala
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Mar 16, 2026
- Enable static linking of libcudart by default (`CUDA_STATIC_RUNTIME=ON`) - Remove `cuda-cudart` from conda recipe run requirements (no longer needed when statically linked) This is part of a RAPIDS-wide effort to switch to static CUDA runtime linking. See rapidsai/build-planning#235 for tracking. - `cpp/CMakeLists.txt`: Change `CUDA_STATIC_RUNTIME` default from OFF to ON - `conda/recipes/cuvs/recipe.yaml`: Remove `cuda-cudart` from run deps - `conda/recipes/libcuvs/recipe.yaml`: Remove `cuda-cudart` from run deps (4 outputs) Note: Python builds already use `CUDA_STATIC_RUNTIME=ON` (set in `python/libcuvs/CMakeLists.txt`). Authors: - Bradley Dice (https://github.com/bdice) - Kyle Edwards (https://github.com/KyleFromNVIDIA) Approvers: - Kyle Edwards (https://github.com/KyleFromNVIDIA) - Robert Maynard (https://github.com/robertmaynard) - Ben Frederickson (https://github.com/benfred) URL: rapidsai#1627
KyleFromNVIDIA
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Mar 23, 2026
benfred
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KyleFromNVIDIA
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Remove the debug statement when finished
bdice
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Mar 24, 2026
bdice
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Mar 24, 2026
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Since #1909, we've been able to use older versions of the CUDA driver, since we no longer rely on
cudaLibraryEnumerateKernels(). Since #1918, we've been using static cudart, which allows us to run on platforms with versions of CUDA older than 12.8 installed, since the runtime library API is now bundled with cuvs. Always build with JIT+LTO so that we can get the full compile time and binary size benefits in CUDA 12 too.