If you are searching for succesful Deep Learning solutions for scientific research, here we can help you
Deep learning workstation


Deep learning is part of the machine learning methods that use one of a set of algorithms to learn high-level representations of data. Such algorithms have been successfully applied to a large variety of problems ranging from image classification to natural language processing and speech recognition.


Graphics Processing Units (GPU) have proved to accelerate deep learning research with thousands of computational cores. Operations are hundred times faster when compared to central processing units (CPU) alone. 

Caffe2, Cognitive Toolkit, Mxnet, Pytorch, Tensorflow and others rely on GPU-accelerated libraries such as CUDNN and NCCL conform the software needed to deliver High Performance multi-GPU accelerated training. 


What do we offer?

In collaboration with Amber MD development team, we have developed Deep Learning Workstations, featuring NVIDIA GPU technology, for developers to get started with deep learning and AI research now. 


LinuxVixion Deep Learning GPU Solutions are fully turn-key and designed for rapid development and deployment of optimized deep neural networks with multiple GPUs. 

our deep learning dev box stack

We offer a dev box stack for developers who want pre-installed frameworks. Our packs contain GPU drivers, libraries and software for deploying your own DL environment with the flexibility of containerization. This is all software included:

The NVIDIA Deep Learning GPU Training System (NVIDIA Digits) is an interactive deep learning development tool for scientists and researchers to quickly design deep neural networks (DNN) using real-time network behavior visualization. 


NVIDIA Digits is a complete system for developing an optimized neural network for a single data set or training multiple networks on many data sets.

Deep learning training systems

Full turnkey solutions ready to use

Installation of complete software stack

Validated and certified GPU systems

Secure and fast shipping to all Europe

This website uses cookies to ensure you get the best experience on our website. If you want to know more or withdraw your consent to all or some of the cookies, please refer to the Privacy Policy. By closing this banner, you agree to the use of cookies.​