How to use idle GPU to earn income, IONet mining tutorial

The sol-based depin project @ionet_official has raised $2.7 million. It rents out computing power to do on-chain AI. It has a close relationship with rndr. If you get the coins, you should be able to get good returns. I tried it yesterday and it ran for a day without any problems. I'll write a simple windows tutorial for your reference. Remember, the more trouble you have, the bigger the profit.

My computer basic information: win11+amd r7 5800x+96g memory+rtx3080.

1. Open the Task Manager first and check if CPU virtualization is turned on. If it is turned on, go to step 2. If it is not turned on, refer to this tutorial to turn it on: https://blog.csdn.net/weixin_45309916/article/details/108286787

2. Open the control panel - select program - then click to enable or disable Windows features - find the Windows subsystem for Linux and virtual machine platform, select these two and restart the computer.

3. After restarting, search and install Ubuntu in the Microsoft store that comes with the system, and try to choose the LTS version. After the installation is complete, you can open it on the start page in the lower left corner. If it can be opened normally, press win+r, enter cmd, enter, and then enter wsl --set-default-version 2 and enter.

4. Install docker. Go to https://docker.com/products/docker-desktop/… to download the Download for Windows version. Install it after downloading. After the installation is complete, restart the computer. 5. Install the latest nvidia driver. Go to https://t.co/mCJTiF6sg8 to download the driver suitable for your computer and install it. After the installation is complete, press win+r, enter cmd and press Enter, then enter nvidia-smi and press Enter to view the version

6. Install NVIDIA's cuda toolkit, https://developer.nvidia.com/cuda-downloads, find the download and installation that suits you. If an error occurs during the installation, select custom installation, then remove the item with the error and reinstall it. Generally, it will not affect subsequent functions. After the installation is complete, enter the command nvcc --version in cmd to check the cuda version. If you can find it, restart the computer.

7. Next, start Docker. The first time you start it, you may need a global ladder. Use the default settings to open it. After opening, click the three small dots on the left to open the setting, then click resource, select enable resource saver, go to cmd and enter docker --version to view the Docker version. If you can find it, it means the installation is complete.

8. Register an account at http://io.net. Click sign up now on the homepage to register. After registration, select worker in the upper left corner of the personal page, then click connect new device, select render, name anything, select Windows for operating system, select GPU worker, and finally copy the docker command to cmd to open it. Some files will be downloaded. After completion, wait for about 40 minutes, and you can see your GPU online on the homepage. 9. You can see whether your GPU status is normal on the page https://ionet.betteruptime.com. Running this mining will occupy about 3G of memory for a long time.