Leadtek GPU Docker Management System (GDMS) is a Docker-based GPU resource allocation and management software. GDMS uses an intuitive and graphical user interface to centrally manage AI and big data projects and development resources for universities/schools, research institutions, and corporations.

Combined with Leadtek WinFast GPU workstations and servers, GDMS allows you to maximize resource usage, manage your tasks more efficiently, and reduce the total cost of ownership. All kinds of schools, institutions, and corporations will benefit from GDMS in their development environment deployment, no matter it’s an AI development project, an AI training course, or a GPU accelerated application project.

There are 7 functions in GDMS: 

(1) Overview

(2) Server

(3) Container

(4) Image

(5) Task

(6) Log

(7) Settings

In this article, we will talk about function (2) Server.

(2) Server 

The Server section allows you to view individual GPU Server status and available resources. The main functionalities include viewing the server's hardware and resource usage (GPU), and checking the Docker images in the system. The display can be toggled using the [GPU]/[Docker Image] button at the top of the list. 

Server Fuctions includes: 

• Server: GPU Server name. 

• IP Address: GPU Server IP address.

• CPU/Memory Usage: Real-time CPU/Memory usage status.

• Status: GPU Server status (Online/Offline).

• Online Time: Last online time.  

 
1. GPU

When the view function is set to [GPU], the occupancy status of GPUs managed by the GPU Server can be displayed.

The fields are: 

• GPU: GPU serial number (The number is just an ordered sequence, not the GPU ID).

• Container Count: The number of Containers using the GPU.

• Total: Total GPU memory (GB).

• Used: Occupied GPU memory (GB).

• Free: Available GPU memory (GB).

• Usage: GPU memory usage percentage (%). 

2. Docker Image

When the view function is set to [Docker Image], the Docker Image list on the GPU Server can be displayed.

The fields are: 

• Repository Name: The name of the Docker Image. 

• Tag Name: The version of the Docker Image.  

 
 
 

3. GPU Server Control Options: 

• Action: Power On, Power Off, and Reboot the GPU Server. 

• Clear Docker Image: Delete unused Docker Images (only available in Docker Image mode).

• Edit: Edit the GPU Server name.

• View: View the GPU Server details.

• Delete: Delete the GPU Server (only selectable when the GPU Server status is Offline).