• Add to Compare

RTX AI Software Pack

Leadtek RTX AI Software Pack is a toolkit that integrates all the analysis components used for AI projects. It has pre-installed a complete development environment, including operating system, GPU drivers, CUDA toolkit, deep learning libraries, and various deep learning and machine learning frameworks.

GDMS_LOGO
 

Leadtek RTX AI Software Pack is a toolkit that integrates all the analysis components used for AI projects. It has pre-installed a complete development environment, including operating system, GPU drivers, CUDA toolkit, deep learning libraries, and various deep learning and machine learning frameworks. All kinds of AI research projects and big data development tasks can be started immediately after system booting. GPU workstations and servers are optimized for hardware and software, eliminating the cumbersome installation process. When combined with GDMS, it brings the benefits of managing AI projects and GPU resources more effectively.

 

Instant AI Deployment

One-click Start of Pre-installed System

After verification and startup, the operating system, GPU driver, CUDA toolkit, cuDNN, NCCL, nvidia-docker package, and NVIDIA DCGM will be automatically installed. It avoids the cumbersome installation and debugging process in GPU and AI project environment, thus allowing researchers to quickly start their development projects.


Restore System in One Click

In case of any problems, the restore function will restore the system back to its factory default state, thereby reducing the time required for the system to inspect and reinstall the software.

The Best Virtual Platform

Docker engine is one of the most popular development platforms in the world today, featuring easy installation, complete portability, and simple maintenance. Through the nvidia-docker plug-in, Docker can now support the GPU development environment, and reduce the system burden and version conflicts of dependent libraries that easily happen when the development environment is installed on the host machine.


Latest AI Development Framework Support

The software is pre-loaded with the 11 most popular deep learning and machine learning frameworks, including AI development frameworks optimized by NVIDIA NGC. The software also provides a framework test window to facilitate your verification efforts of the development environment.

System GPU Monitoring

The software can monitor the execution and health status of the GPU and GPU memory, and can export monitoring records for archiving. It allows you to clearly understand the GPU hardware resources and GPU states during execution.


GDMS Support

By becoming a GPU system managed by GDMS, you can manage, allocate, and utilize GPU resources through GDMS more effectively. The integrated solution is ideal for enterprise AI project management, smart classroom applications, and research teams.


RTX AI Software Pack Desktop

  • Neat user interface
  • Support the latest deep learning and machine learning frameworks
  • Start AI development project environment with simple commands

Start AI development in a snap.

WinFast GPU Workstation
and Server

AI Deep Learning Solution

Learn More

Specification Description
Recommended System Requirements RTX AI Software requires minimum specifications as below and the performance depends on the actual workload and hardware resources available:
  • CPU: Single or dual Intel® Xeon® processors
  • Memory: 16GB and above
  • Storage: 512GB SSD for system drive and 2TB HDD for data drive
  • At least one NVIDIA GPU card
RTX AI Utility RTX AI Software Operation Mode Allows software engineers, data scientists and AI experts to operate workstations and servers either locally or remotely:
  • Local Operation (Workstation Mode): Directly operate the local workstation through its Ubuntu desktop to perform AI development/training
  • Remote Operation (Server Mode): Use SSH connection to operate the server remotely for AI development/training
Framework Diagnostics Perform the selected DL/ML framework and run it with a test model, in order to verify if it is valid and feasible to use
GPU Monitoring/Log Instantly monitor health status of GPU and GPU memory and record the log
GPU Test Tool A CUDA test tool for testing GPU’s hardware status in containers
Jupyter Notebook An integrated, web-based interactive development tool to write or iterate on source codes in Docker containers
Software Component Version A handy tool for viewing each current software version by predefining the system commands used
GDMS Server Support Embed GDMS agent to support GPU resource allocation managed by GDMS administrators. This function is only valid when deployed with GDMS server
System Recovery Restore the system back to its factory default state in one click
Rescue Disk When system is unable to boot up, the tool will rebuild the boot drive and restore the system back to its factory default state
RTX AI Framework Chainer、TensorFlow、PyTorch、NVIDIA DIGITS、NVIDIA CUDA、NVIDIA Caffe、NVIDIA MxNet、NVIDIA PyTorch、NVIDIA TensorFlow、NVIDIA TensorRT、NVIDIA TensorRT Server、NVIDIA RAPIDS
RTX AI Base Component Ubuntu Desktop OS v18.04 LTS、NVIDIA CUDA、NVIDIA cuDNN、NVIDIA NCCL、NVIDIA Docker、Docker Engine、NVIDIA DCGM Fabric Manager 、NVIDIA Drivers
Supported Language(UI and Keyboard Layout) English and Japanese (English only for RTX AI Utility)


  • Revised web page of product spec and information won't be noticed, product colorbox printing shows the actual information of the product.
  • Above product spec is for reference only, actual spec rely on the real product and Leadtek keeps the right to alter. Each sales region will impacts the product difference, please contact your supplier for making sure the actual product information.
  • The adapter, cable and software listed on the web page are for reference only and Leadtek keeps the right to alter, revised information won't be noticed.
  • Above brand name and product name are trademark of each corresponding company.