PRE-INSTALLED WITH READY-TO-BRAIN™ TECHNOLOGY
Deploying and configuring high-performance AI and GPU systems is complex, time-consuming, and often involves trial and error. Instead of spending valuable time on Linux installations, drivers, and software stacks, you should focus on what really matters: your AI workloads.
With Ready-to-Brain™ technology by CADnetwork®, our AI GPU systems are ready for immediate use. All servers are fully preconfigured and delivered with a carefully aligned software stack for modern AI applications.
This allows you to start training, inference, and development without delay—reliably, reproducibly, and professional from day one.
COMPATIBLE WITH LEADING AI FRAMEWORKS
Our GPU systems for AI workloads are compatible with all major AI frameworks and NVIDIA technologies. TensorFlow and PyTorch are pre-installed and ready to use. In addition, custom frameworks, libraries, or specific versions can be added at any time. Thanks to the integrated Docker environment, AI frameworks and workloads can be deployed flexibly as containers. This enables clean separation of projects, versions, and teams — fully reproducible, maintainable, and without modifications to the underlying system.
COMPREHENSIVE AI SOFTWARE STACK
The CADnetwork® AI GPU systems are equipped with a comprehensive software stack designed for professional AI workloads. Frameworks and libraries are provided in stable, well-maintained Docker containers, ensuring consistent access to system resources. Commonly used frameworks such as TensorFlow and PyTorch are pre-installed and immediately available — allowing you to work productively from the first moment.