Download TeamRedMiner (TRM) 0.9.4 – AMD GPU Miner

March 6, 2022
Version V0.9.4
Size 87 Mb
Architecture 64-bit

TRM is considered the best miner for AMD cards because it was created exclusively to support AMD graphics cards. TRM does not support Nvidia cards, but can be used with them on Linux and Windows. By focusing on AMD graphics cards, TRM miner will help to provide the best hashrate on most devices.

Download the TRM miner

Download TeamRedMiner by clicking the Download button.
To start mining on multiple computers, download and install the TeamRedMiner application on all computers that will be used for mining.

Unzip the archive (ZIP) to any location on your computer.
In the folder containing the miner, you must create or edit a .bat file. You can do this in any text editor (for example, Notepad or Notepad ++). When saving a file, it is important to select “All Files” as the file type and not “txt”. Otherwise, you will have .bat.txt at the end of the filename and the miner will not be able to open this file. Your .bat file (let’s say it’s called 1_Ehereum-binance_pool.bat) should contain the following text (step 2):

For security reasons, Windows may prevent you from opening the .bat file. In this case, you must allow it to open in a pop-up window.

Enter the following command:

teamredminer.exe -a ethash -o stratum+tcp:// -u username1.worker_name -p x

Customize the TRM miner with your settings

WALLET_ADDRESS – enter YOUR wallet address of the mined coin or USERNAME (pool login) (this will tell the program which address to mine the cryptocurrency.) RIG_NAME – the name of the farm. You can choose any name (as a test). However, the name must be no more than 32 characters, contain only letters and numbers (no special characters like $%”*; @). Be sure to replace the pool and wallet address with whatever you use in all files.

Start mining

Double click your Bat file to start the miner. The miner will run, execute setx commands to set environment variables, initialize each of your GPUs, create a DAG file for each GPU, and start hashing. If you followed the steps above, you should see a screen like this.


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