[ Teaching ]  WinFast RTX AI Workstation Utility User’s Guide
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WinFast RTX AI Workstation Utility User’s Guide

  By : Leadtek AI Expert     7834

Do you feel lousy and troublesome to install all deep learning frameworks?

Leadtek WinFast RTX AI Workstation is here to solve your problem and make your life easier. 


WinFast RTX AI Workstation is a turnkey system that combines the power of the world’s most advanced Quadro GPU with accelerated CUDA-X AI data science software to deliver a new breed of fully-integrated workstations to ensure maximum compatibility and reliability for data science. 


Now, this article will show you the function of WinFast RTX AI software.



After installation, double-click the RTX Utility icon on desktop to launch the software. 


There are 5 options in the WinFast RTX AI System Utility main menu:

(1). Software Component Version: Shows software component version.

(2). GPU Monitoring: Monitor the GPU and shows its information.

(3). Framework Test: The utility has several built-in framework tests. Select to enter the sub-menu.

(4). About: Shows end-user software license.

(5). Exit: Select to quit the WinFast RTX AI System Utility.


Software Component Version

Select this item to display the version information of the software components, include all pre-built frameworks version, OS version, NVIDIA CUDA Toolkit version, NVIDIA cuDNN library version, NCCL version, Docker version and NVIDIA driver version.


GPU Monitoring

GPU Monitoring is a function that detects the status of the GPU and shows its information. Users can find out whether the GPU is working normally with this function. The current working status and related information of the GPU will be displayed. The information will be recorded in a log file under the /home/(user account name) directory.

Remind: If you encounter any technical problems and need help, please use this function before running any applications, and email the generated log file to Leadtek support team <service@leadtek.com.tw> for further analysis. 


Framework Test

In the Framework Test menu, there are several built-in tests. You can run each of these tests by selecting an item. In addition to deep learning framework test, the GPU-Test is used for testing the function of CUDA.



About

Select this to see the End-User Software License, Framework and Library Versions, and Important Message.




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