List GPU Specs. The code is modified from the Udacity Parallel Computing Course.

device_properties.cu

#include <stdio.h>


void deviceQuery ()
{
  cudaDeviceProp prop;
  int nDevices=0, i;
  cudaError_t ierr;

  ierr = cudaGetDeviceCount(&nDevices);
  if (ierr != cudaSuccess) { printf("Sync error: %s\n", cudaGetErrorString(ierr)); }



  for( i = 0; i < nDevices; ++i )
  {
     ierr = cudaGetDeviceProperties(&prop, i);
     printf("Device number: %d\n", i);
     printf("  Device name: %s\n", prop.name);
     printf("  Compute capability: %d.%d\n\n", prop.major, prop.minor);
     
     printf("  Clock Rate: %d kHz\n", prop.clockRate);
     printf("  Total SMs: %d \n", prop.multiProcessorCount);
     printf("  Shared Memory Per SM: %lu bytes\n", prop.sharedMemPerMultiprocessor);
     printf("  Registers Per SM: %d 32-bit\n", prop.regsPerMultiprocessor);
     printf("  Max threads per SM: %d\n", prop.maxThreadsPerMultiProcessor);
     printf("  L2 Cache Size: %d bytes\n", prop.l2CacheSize);
     printf("  Total Global Memory: %lu bytes\n", prop.totalGlobalMem);
     printf("  Memory Clock Rate: %d kHz\n\n", prop.memoryClockRate);
     
     
     printf("  Max threads per block: %d\n", prop.maxThreadsPerBlock);
     printf("  Max threads in X-dimension of block: %d\n", prop.maxThreadsDim[0]);
     printf("  Max threads in Y-dimension of block: %d\n", prop.maxThreadsDim[1]);
     printf("  Max threads in Z-dimension of block: %d\n\n", prop.maxThreadsDim[2]);

     printf("  Max blocks in X-dimension of grid: %d\n", prop.maxGridSize[0]);
     printf("  Max blocks in Y-dimension of grid: %d\n", prop.maxGridSize[1]);
     printf("  Max blocks in Z-dimension of grid: %d\n\n", prop.maxGridSize[2]);     
     
     printf("  Shared Memory Per Block: %lu bytes\n", prop.sharedMemPerBlock);
     printf("  Registers Per Block: %d 32-bit\n", prop.regsPerBlock);
     printf("  Warp size: %d\n\n", prop.warpSize);

  }
}

int main() {
    deviceQuery();
}

  Device number: 0
  Device name: Tesla V100-SXM2-32GB
  Compute capability: 7.0

  Clock Rate: 1530000 kHz
  Total SMs: 80
  Shared Memory Per SM: 98304 bytes
  Registers Per SM: 65536 32-bit
  Max threads per SM: 2048
  L2 Cache Size: 6291456 bytes
  Total Global Memory: 34089730048 bytes
  Memory Clock Rate: 877000 kHz

  Max threads per block: 1024
  Max threads in X-dimension of block: 1024
  Max threads in Y-dimension of block: 1024
  Max threads in Z-dimension of block: 64

  Max blocks in X-dimension of grid: 2147483647
  Max blocks in Y-dimension of grid: 65535
  Max blocks in Z-dimension of grid: 65535

  Shared Memory Per Block: 49152 bytes
  Registers Per Block: 65536 32-bit
  Warp size: 32

They really have come a long way

To run this on Windows:

winget install Microsoft.VC++2015-2022Redist-x64
winget install Nvidia.CUDA

nvcc device_properties.cu -o device_properties -ccbin "C:\Program Files (x86)\Microsoft Visual Studio\2022\BuildTools\VC\Tools\MSVC\14.31.31103\bin\Hostx64\x64"
device_properties.exe

My results:

Device number: 0
  Device name: GeForce GTX 650
  Compute capability: 3.0

  Clock Rate: 0 kHz
  Total SMs: 2
  Shared Memory Per SM: 49152 bytes
  Registers Per SM: 65536 32-bit
  Max threads per SM: 2048
  L2 Cache Size: 262144 bytes
  Total Global Memory: 1073741824 bytes
  Memory Clock Rate: 0 kHz

  Max threads per block: 1024
  Max threads in X-dimension of block: 1024
  Max threads in Y-dimension of block: 1024
  Max threads in Z-dimension of block: 64

  Max blocks in X-dimension of grid: 2147483647
  Max blocks in Y-dimension of grid: 65535
  Max blocks in Z-dimension of grid: 65535

  Shared Memory Per Block: 49152 bytes
  Registers Per Block: 65536 32-bit
  Warp size: 32