> wsl hostname -I
172.18.82.228

$ explorer.exe .

$ code.exe .

# Settings apply across all Linux distros running on WSL 2
[wsl2]

# Limits VM memory to use no more than 4 GB, this can be set as whole numbers using GB or MB
memory=4GB 

# Sets the VM to use two virtual processors
processors=2

# Specify a custom Linux kernel to use with your installed distros. The default kernel used can be found at https://github.com/microsoft/WSL2-Linux-Kernel
kernel=C:\\temp\\myCustomKernel

# Sets additional kernel parameters, in this case enabling older Linux base images such as Centos 6
kernelCommandLine = vsyscall=emulate

# Sets amount of swap storage space to 8GB, default is 25% of available RAM
swap=8GB

# Sets swapfile path location, default is %USERPROFILE%\AppData\Local\Temp\swap.vhdx
swapfile=C:\\temp\\wsl-swap.vhdx

# Disable page reporting so WSL retains all allocated memory claimed from Windows and releases none back when free
pageReporting=false

# Turn off default connection to bind WSL 2 localhost to Windows localhost
localhostforwarding=true

# Disables nested virtualization
nestedVirtualization=false

# Turns on output console showing contents of dmesg when opening a WSL 2 distro for debugging
debugConsole=true

# Automatically mount Windows drive when the distribution is launched
[automount]

# Set to true will automount fixed drives (C:/ or D:/) with DrvFs under the root directory set above. Set to false means drives won't be mounted automatically, but need to be mounted manually or with fstab.
enabled = true

# Sets the directory where fixed drives will be automatically mounted. This example changes the mount location, so your C-drive would be /c, rather than the default /mnt/c. 
root = /

# DrvFs-specific options can be specified.  
options = "metadata,uid=1003,gid=1003,umask=077,fmask=11,case=off"

# Sets the `/etc/fstab` file to be processed when a WSL distribution is launched.
mountFsTab = true

# Network host settings that enable the DNS server used by WSL 2. This example changes the hostname, sets generateHosts to false, preventing WSL from the default behavior of auto-generating /etc/hosts, and sets generateResolvConf to false, preventing WSL from auto-generating /etc/resolv.conf, so that you can create your own (ie. nameserver 1.1.1.1).
[network]
hostname = DemoHost
generateHosts = false
generateResolvConf = false

# Set whether WSL supports interop process like launching Windows apps and adding path variables. Setting these to false will block the launch of Windows processes and block adding $PATH environment variables.
[interop]
enabled = false
appendWindowsPath = false

# Set the user when launching a distribution with WSL.
[user]
default = DemoUser

# Set a command to run when a new WSL instance launches. This example starts the Docker container service.
[boot]
command = service docker start

~$ lsblk
NAME   MAJ:MIN RM   SIZE RO TYPE MOUNTPOINT
sda      8:0    0 363.1M  1 disk
sdb      8:16   0     8G  0 disk [SWAP]
sdc      8:32   0   256G  0 disk /mnt/wslg/distro
sdd      8:48   0 931.5G  0 disk
└─sdd1   8:49   0 931.5G  0 part

~$ lsblk -f
NAME   FSTYPE LABEL UUID                                 FSAVAIL FSUSE% MOUNTPOINT
sda    ext4
sdb    swap         44bcbb9a-3a2c-44db-99e4-9c14dec69098                [SWAP]
sdc    ext4         3255683f-53a2-4fdf-91cf-b4c1041e2a62  159.1G    32% /mnt/wslg/distro
sdd
└─sdd1 ext4         9b3c51ab-a49b-41c7-a105-fb9d47a86476
(3.11.1)qkboo@desktop-goyangi:~$

s$ df -h
Filesystem      Size  Used Avail Use% Mounted on
none             16G  4.0K   16G   1% /mnt/wsl
drivers         465G  397G   69G  86% /usr/lib/wsl/drivers
none             16G     0   16G   0% /usr/lib/wsl/lib
/dev/sdc        251G   80G  160G  34% /

...

/dev/sdd1       917G  852G   19G  98% /mnt/wsl/PHYSICALDRIVE2p1

wsl.exe --install

wsl.exe --update

wget https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/cuda-wsl-ubuntu.pin
sudo mv cuda-wsl-ubuntu.pin /etc/apt/preferences.d/cuda-repository-pin-600
wget https://developer.download.nvidia.com/compute/cuda/11.5.1/local_installers/cuda-repo-wsl-ubuntu-11-5-local_11.5.1-1_amd64.deb
sudo dpkg -i cuda-repo-wsl-ubuntu-11-5-local_11.5.1-1_amd64.deb
sudo apt-key add /var/cuda-repo-wsl-ubuntu-11-5-local/7fa2af80.pub
sudo apt-get update
sudo apt-get -y install cuda

sudo apt install libcudnn8
sudo apt install libcudnn8-dev
sudo apt-get install libcudnn8-samples

$ cd /mnt/c/Users/<username>/Desktop
$ cp /mnt/c/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/extras/demo_suite/deviceQuery.exe ~/
$ ./deviceQuery.exe

(tf25gpu_p39)~$ nvidia-smi
Sun Dec  5 02:29:22 2021
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 510.00       Driver Version: 510.06       CUDA Version: 11.6     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  NVIDIA GeForce ...  On   | 00000000:09:00.0  On |                  N/A |
|  0%   43C    P8    20W / 320W |   1179MiB / 11264MiB |     N/A      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

(tf25gpu_p39)/usr/local/cuda-11.5/samples/4_Finance/BlackScholes$ ./BlackScholes
[./BlackScholes] - Starting...
GPU Device 0: "Pascal" with compute capability 6.1

Initializing data...
...allocating CPU memory for options.
...allocating GPU memory for options.
...generating input data in CPU mem.
...copying input data to GPU mem.
Data init done.

Executing Black-Scholes GPU kernel (512 iterations)...
Options count             : 8000000
BlackScholesGPU() time    : 0.234201 msec
Effective memory bandwidth: 341.586668 GB/s
Gigaoptions per second    : 34.158667

BlackScholes, Throughput = 34.1587 GOptions/s, Time = 0.00023 s, Size = 8000000 options, NumDevsUsed = 1, Workgroup = 128

Reading back GPU results...
Checking the results...
...running CPU calculations.

Comparing the results...
L1 norm: 1.741792E-07
Max absolute error: 1.192093E-05

Shutting down...
...releasing GPU memory.
...releasing CPU memory.
Shutdown done.

[BlackScholes] - Test Summary

NOTE: The CUDA Samples are not meant for performance measurements. Results may vary when GPU Boost is enabled.

Test passed
(tf25gpu_p39)/usr/local/cuda-11.5/samples/4_Finance/BlackScholes$

runas.exe /savecred /user:administrator "%sysdrive%\testScripts\testscript1.ps1"