Install NVIDIA CUDA Toolkit 13.1.0 on Debian 13 (Trixie)

cd ~/Downloads

wget https://developer.download.nvidia.com/compute/cuda/13.1.0/local_installers/cuda_13.1.0_590.44.01_linux.run

## OR continue download (useful if your download was interrupted) ##
wget -c https://developer.download.nvidia.com/compute/cuda/13.1.0/local_installers/cuda_13.1.0_590.44.01_linux.run

chmod +x cuda_13.1.0*.run

su -
## OR ##
sudo -i

apt update
apt upgrade

reboot

apt install build-essential gcc g++ make cmake git pkg-config \
  libglu1-mesa-dev libx11-dev libxi-dev libxmu-dev

/home/<username>/Downloads/cuda_13.1.0_590.44.01_linux.run

## OR full path / full file name ##

./cuda_13.1.0_590.44.01_linux.run

/path/to/cuda_13.1.0_590.44.01_linux.run

cat <<'EOF' > /etc/profile.d/cuda.sh
PATH=/usr/local/cuda/bin:$PATH

case ":${LD_LIBRARY_PATH}:" in
  *:"/usr/local/cuda/lib64":*)
    ;;
  *)
    if [ -z "${LD_LIBRARY_PATH}" ] ; then
      LD_LIBRARY_PATH=/usr/local/cuda/lib64
    else
      LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
    fi
esac

export PATH LD_LIBRARY_PATH
EOF

nvcc --version

cd ~

git clone https://github.com/NVIDIA/cuda-samples.git

cd /home/<username>/cuda-samples/Samples/1_Utilities/deviceQuery

[user@localhost:~/cuda-samples/Samples/1_Utilities/deviceQuery]$ cmake .

-- The C compiler identification is GNU 14.2.0
-- The CXX compiler identification is GNU 14.2.0
-- The CUDA compiler identification is NVIDIA 13.1.80 with host compiler GNU 14.2.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /usr/bin/cc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Detecting CUDA compiler ABI info
-- Detecting CUDA compiler ABI info - done
-- Check for working CUDA compiler: /usr/local/cuda/bin/nvcc - skipped
-- Detecting CUDA compile features
-- Detecting CUDA compile features - done
-- Found CUDAToolkit: /usr/local/cuda/targets/x86_64-linux/include (found version "13.1.80")
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
-- Found Threads: TRUE
-- Configuring done (1.8s)
-- Generating done (0.0s)
-- Build files have been written to: /home/inttf/cuda-samples/Samples/1_Utilities/deviceQuery

[user@localhost:~/cuda-samples/Samples/1_Utilities/deviceQuery]$ make

[ 50%] Building CXX object CMakeFiles/deviceQuery.dir/deviceQuery.cpp.o
[100%] Linking CXX executable deviceQuery
[100%] Built target deviceQuery

[user@localhost:~/cuda-samples/Samples/1_Utilities/deviceQuery]$ ./deviceQuery
./deviceQuery Starting...

CUDA Device Query (Runtime API) version (CUDART static linking)

Detected 1 CUDA Capable device(s)

Device 0: "NVIDIA GeForce RTX 2060"
 CUDA Driver Version / Runtime Version          13.1 / 13.1
 CUDA Capability Major/Minor version number:    7.5
 Total amount of global memory:                 5732 MBytes (6009913344 bytes)
 (030) Multiprocessors, (064) CUDA Cores/MP:    1920 CUDA Cores
 GPU Max Clock rate:                            1695 MHz (1.70 GHz)
 Memory Clock rate:                             7001 Mhz
 Memory Bus Width:                              192-bit
 L2 Cache Size:                                 3145728 bytes
 Maximum Texture Dimension Size (x,y,z)         1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
 Maximum Layered 1D Texture Size, (num) layers  1D=(32768), 2048 layers
 Maximum Layered 2D Texture Size, (num) layers  2D=(32768, 32768), 2048 layers
 Total amount of constant memory:               65536 bytes
 Total amount of shared memory per block:       49152 bytes
 Total shared memory per multiprocessor:        65536 bytes
 Total number of registers available per block: 65536
 Warp size:                                     32
 Maximum number of threads per multiprocessor:  1024
 Maximum number of threads per block:           1024
 Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
 Max dimension size of a grid size    (x,y,z): (2147483647, 65535, 65535)
 Maximum memory pitch:                          2147483647 bytes
 Texture alignment:                             512 bytes
 Concurrent copy and kernel execution:          Yes with 3 copy engine(s)
 Run time limit on kernels:                     No
 Integrated GPU sharing Host Memory:            No
 Support host page-locked memory mapping:       Yes
 Alignment requirement for Surfaces:            Yes
 Device has ECC support:                        Disabled
 Device supports Unified Addressing (UVA):      Yes
 Device supports Managed Memory:                Yes
 Device supports Compute Preemption:            Yes
 Supports Cooperative Kernel Launch:            Yes
 Device PCI Domain ID / Bus ID / location ID:   0 / 1 / 0
 Compute Mode:
    < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 13.1, CUDA Runtime Version = 13.1, NumDevs = 1
Result = PASS