%FILENAME%
cuda-13.4.2-1-x86_64.pkg.tar.zst

%NAME%
cuda

%BASE%
cuda

%VERSION%
13.4.2-1

%DESC%
NVIDIA's GPU programming toolkit

%CSIZE%
2611810468

%ISIZE%
5583655937

%SHA256SUM%
bfb821a03201e493e91b46f43ff249ac4a0b844c3f4c56d94f1ec88f8dbc841c

%PGPSIG%
iHUEABYKAB0WIQQQlBXmkgB2Ccp+v+QAHPSBC+jZEQUCaq2S4AAKCRAAHPSBC+jZEYgjAQC7EaFgcHKl+7+6ZX+iTd869WH1IArMSAfb1uObvYsxsAEAlKgYWCfPOvPeA78NZ+LZkkMCRQ2J7MLL5PfaJIRybwY=

%URL%
https://developer.nvidia.com/cuda-zone

%LICENSE%
LicenseRef-NVIDIA-CUDA

%ARCH%
x86_64

%BUILDDATE%
1789758494

%PACKAGER%
Jakub Klinkovský <lahwaacz@archlinux.org>

%REPLACES%
cuda-toolkit
cuda-sdk
cuda-static
cuda-tools

%PROVIDES%
cuda-toolkit
cuda-sdk
libcudart.so=13-64
libcublas.so=13-64
libcublas.so=13-64
libcusolver.so=12-64
libcusolver.so=12-64
libcusparse.so=12-64
libcusparse.so=12-64

%DEPENDS%
cccl
opencl-nvidia
python

%OPTDEPENDS%
gdb: for cuda-gdb
glu: required for some profiling tools in CUPTI
nvidia-utils: for NVIDIA drivers (not needed in CDI containers)
nsight-compute: for profiling CUDA applications
nsight-systems: for system-wide profiling
rdma-core: for GPUDirect Storage (libcufile_rdma.so)

