Install CUDA 12.42026/06/18

Install GPU Computing Platform (GPGPU (General-Purpose computing on Graphics Processing Units)), CUDA (Compute Unified Device Architecture) provided by NVIDIA.

To use CUDA, it needs your computer has NVIDIA Graphic cards and also they are the CUDA-Enabled products.
Make sure the details on the site below. (most products are ready in the past few years)
⇒ https://developer.nvidia.com/cuda-gpus

[1]

Install NVIDIA Graphic Driver for your Graphic Card, refer to here.

[2]

Install CUDA.
It based on the settings that you added [contrib non-free] words on each line in APT source like the link of [1].

root@dlp:~#

apt -y install nvidia-cuda-toolkit nvidia-cuda-dev git cmake

root@dlp:~#

nvcc --version

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2024 NVIDIA Corporation
Built on Thu_Mar_28_02:18:24_PDT_2024
Cuda compilation tools, release 12.4, V12.4.131
Build cuda_12.4.r12.4/compiler.34097967_0

[3]	Verify installation with a common user to run sample program.

# get samples

ubuntu@dlp:~$

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

ubuntu@dlp:~$

cd ./cuda-samples/cpp/1_Utilities/deviceQuery

# compile deviceQuery sample

ubuntu@dlp:~/cuda-samples/cpp/1_Utilities/deviceQuery$

cmake ./

-- The C compiler identification is GNU 15.2.0
-- The CXX compiler identification is GNU 15.2.0
-- The CUDA compiler identification is NVIDIA 12.4.131 with host compiler GNU 13.4.0
-- 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/bin/nvcc - skipped
-- Detecting CUDA compile features
-- Detecting CUDA compile features - done
-- Found CUDAToolkit: /usr/include (found version "12.4.131")
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
-- Found Threads: TRUE
-- CUDA Samples installation configured:
--   Architecture: x86_64
--   OS: linux
--   Build Type: release
--   Install Prefix: /home/ubuntu/cuda-samples/cpp/1_Utilities/deviceQuery/bin
--   Install Directory: /home/ubuntu/cuda-samples/cpp/1_Utilities/deviceQuery/bin/x86_64/linux/release
-- Configuring done (6.3s)
-- Generating done (0.0s)
-- Build files have been written to: /home/ubuntu/cuda-samples/cpp/1_Utilities/deviceQuery

ubuntu@dlp:~/cuda-samples/cpp/1_Utilities/deviceQuery$

make

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

# run deviceQuery sample

ubuntu@dlp:~/cuda-samples/cpp/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 3060"
  CUDA Driver Version / Runtime Version          13.2 / 12.4
  CUDA Capability Major/Minor version number:    8.6
  Total amount of global memory:                 11912 MBytes (12490440704 bytes)
  (028) Multiprocessors, (128) CUDA Cores/MP:    3584 CUDA Cores
  GPU Max Clock rate:                            1777 MHz (1.78 GHz)
  Memory Clock rate:                             7501 Mhz
  Memory Bus Width:                              192-bit
  L2 Cache Size:                                 2359296 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:        102400 bytes
  Total number of registers available per block: 65536
  Warp size:                                     32
  Maximum number of threads per multiprocessor:  1536
  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 2 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
  Supports MultiDevice Co-op Kernel Launch:      Yes
  Device PCI Domain ID / Bus ID / location ID:   0 / 5 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 13.2, CUDA Runtime Version = 12.4, NumDevs = 1
Result = PASS

Matched Content