%FILENAME%
cuda-13.1.1-1-x86_64.pkg.tar.zst

%NAME%
cuda

%BASE%
cuda

%VERSION%
13.1.1-1

%DESC%
NVIDIA's GPU programming toolkit

%CSIZE%
2346173540

%ISIZE%
4999391335

%MD5SUM%
1d2f362a88a052c20eb8765de8e3fb80

%SHA256SUM%
8ea8412a953088ec8427967ba9bdb8b1894fd7d15545f1fb1c22c6c449fc57ee

%PGPSIG%
iHUEABYKAB0WIQQQlBXmkgB2Ccp+v+QAHPSBC+jZEQUCaWaLfQAKCRAAHPSBC+jZEb2MAP9vyp/l8/K0YZRrtOBFXrm44gkekjyNWf6hduzjVcl/xQEA6I7Lq4uko4tVaLrh/oxFk43/I75LC/oSHiEO6nBEtwU=

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

%LICENSE%
LicenseRef-NVIDIA-CUDA

%ARCH%
x86_64

%BUILDDATE%
1768327467

%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%
opencl-nvidia
python
gcc

%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)

