%FILENAME%
cuda-13.2.1-1-x86_64.pkg.tar.zst

%NAME%
cuda

%BASE%
cuda

%VERSION%
13.2.1-1

%DESC%
NVIDIA's GPU programming toolkit

%CSIZE%
2374810372

%ISIZE%
5090394541

%MD5SUM%
e3d287402326422583e9e2a3080bdcde

%SHA256SUM%
abea20a627add7a61730f8e5a829c86f3e9e37c59f02306455fa0c02e4583634

%PGPSIG%
iHUEABYKAB0WIQQQlBXmkgB2Ccp+v+QAHPSBC+jZEQUCad1S0wAKCRAAHPSBC+jZEU0AAQC0L2Y9UaFnEF3D6j2esOB/I66Il0r2ojJPiggFWi0BxwD8DE7UZwy3hqE6mxz0QMZ8QJHc2fSBawnGxj3HSIJTGQ8=

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

%LICENSE%
LicenseRef-NVIDIA-CUDA

%ARCH%
x86_64

%BUILDDATE%
1776111925

%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)

