WSL2

GPU Support 先确认Docker Desktop的Backend使用的是WSL2，并且Windows、Nvidia驱动的版本足够，随后管理员权限终端执行wsl --update更新wsl。完成后，终端执行 docker run --rm -it --gpus=all nvcr.io/nvidia/k8s/cuda-sample:nbody nbody -gpu -benchmark 如果GPU可用，则输出类似于 Run "nbody -benchmark [-numbodies=<numBodies>]" to measure performance. -fullscreen (run n-body simulation in fullscreen mode) -fp64 (use double precision floating point values for simulation) -hostmem (stores simulation data in host memory) -benchmark (run benchmark to measure performance) -numbodies=<N> (number of bodies (>= 1) to run in simulation) -device=<d> (where d=0,1,2.... for the CUDA device to use) -numdevices=<i> (where i=(number of CUDA devices > 0) to use for simulation) -compare (compares simulation results running once on the default GPU and once on the CPU) -cpu (run n-body simulation on the CPU) -tipsy=<file....