How to make money with idle GPU? IONet Mining Tutorial

Author: York Source: X, @Yorkiku

sol depin project @ionet_official raised 2.7 million U.S. dollars. It rents computing power to do on-chain AI. It is closely related to rndr. If you get the coins, you should be able to make good profits. I tried it yesterday and it ran It’s been a day and there’s no problem for now. I’ll simply write a Windows tutorial for your reference. Remember, the more trouble you have, the bigger the problem will be.  

 Basic information about my computer: win11+amd r7 5800x+96g memory+rtx3080. 

1. First open the task manager and see if the CPU virtualization is turned on. If it is turned on, go to the second step. If it has not been opened, please refer to this tutorial to open it: https://blog.csdn.net/weixin_45309916/article/details/108286787

2. Open the Control Panel-select Programs-then Click to enable or disable Windows functions - go down and find the Windows subsystem and virtual machine platform for Linux, select these two and then restart the computer.

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

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4. To install docker, go to https://docker.com/products/docker-desktop /...Download the Download for Windows version, install it after downloading, and restart your computer after the installation is complete. 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, win+r and 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 process, choose a custom installation, then remove the error entry and reinstall it. Generally, subsequent functions will not be affected. After the installation is complete, enter the command nvcc --version after the same cmd to check the cuda version. You can find it and restart the computer.

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

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8. Register for http://io.net account and click sign up now directly on the homepage Register. After registration is completed, select worker in the upper left corner of the personal page, then click connect new device, select render, select the name column casually, select Windows for operating system, select GPU worker, and finally copy the docker command to cmd and open it, it will download For some files, wait for about 40 minutes after completion, and you will see your GPU online on the home page. 9. On the page https://ionet.betteruptime.com, you can see whether your GPU status is normal. Running this mining will probably occupy 3 G of memory for a long time. It has only been running for one day and I haven’t seen any profits yet. You can decide whether to participate or not based on the situation.