AI Workstation with up to 4 GPUs
For AI training and AI applications - with Tensorflow, PyTorch, and others

 

 

CADnetwork Deep Learning Box Desk

 

Ready-To-Train - With preconfigured Software-Stack for AI Training and Inference.


The AI Workstation delivers stable high performance for demanding AI workloads such as training, LLM fine-tuning, and inference.
The system is equipped with a dedicated software stack for AI and deep learning applications (Docker-based) and can be easily expanded with your own frameworks and containers.

 

 

Configure your AI Workstation

Configure or select proconfigured system

Starting at €5,980

Features

The complete solution for all major deep learning frameworks


The Deep Learning Box is optimized and set-up for all major deep learning frameworks like TensorFlow, Caffe2 and PyTorch.
Set-Up. Connect. Train.

 

Tensorflow Deep LearningPyTorch Deep LearningCaffe Deep LearningKeras Deep Learning

Lets Get Ready To Train


Start with the training of neuronal networks without having to deal with hardware questions and installation. The Deep Learning Box is already set-up for Tensorflow, Caffe2 or another framework of your choice.

 

 

Deep Learning Machine Learning Tensorflow

Multi-GPU support


The Deep Learning Box supports up to four NVIDIA GPUs with high render power and provides remarkable AI-results in a minimum of time.

 

 

Deep Learning Box Desk für TensorFlow und Caffe2

 

Features
PCIe NVMe SSD
8x HDD / SSD
Features
Dual Processor
Intel Xeon E5
Features
up to four
NVIDIA GPUs
Features
up to 512GB DDR4
Main memory

With dual Intel® Xeon® E5 processors


Dual Intel Xeon

 

Two Intel Xeon E5-2600v4 processors with up to 44 cores provide a maximum of performance for complex calculations. The DDR4 memory controller supports up to 256GB. Two Xeon E5 processors provide 80 PCI-express lanes to ensure full performance of all four GPUs.

Contact Us

Central:
+49 2236 30 903 - 0

Pre-Order Questions:
+49 2236 30 903 - 10

After-Buy Support:
+49 2236 30 903 - 20

Telefax:
+49 2236 30 903 - 29

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