RFQ List

No products added yet

Pro AI workstation

Pro AI workstation

For artificial intelligence pros, APY IA stations with Intel or AMD processors can receive 3.4 and up to 5 GPUs for APY AI Lx².

See all products 

APY

APY AI Mt G4

This workstation is the best compromise if you start your AI projects. The AI Mt G4 can ship up to four NVIDIA graphics cards (Geforce RTX, Titan RTX or Quadro RTX). The power of the integrated Tensor Cores in each GPU gives you significant power for Deep Learning.

This station also has an AMD Ryzen Threadripper 2990WX  processor that takes advantage of 32 physical cores and 64 threads. An association with the many GPUs that allows the APY AI Mt G4 to be perfectly sized for fast data processing in machine learning.

See all products 

APY

APY AI LX² Workstation

This is the most atypical of our workstations. At first glance, we do not realize the potential of APY AI Lx². This configuration can, first of all, integrate up to five graphics cards or (passive) calculation cards. NVIDIA Quadro cards and NVIDIA Tesla cards can be combined.

It is a workstation designed and designed for AI. Despite its tower format, the APY AI Lx² can be used in the server room. A rail kit allows it to be installed in the bay of your compute cluster. This model is finally distinguished by its two latest generation processors Intel Xeon Scalable.

AMD-APY.gif

See all products 

Nvidia

Data scientists and artificial intelligence (AI) researchers require accuracy, simplicity, and speed for deep learning success. Faster training and iteration ultimately means faster innovation and faster time to market.

The NVIDIA® DGX-1™ is the world's first purpose-built system for deep learning with fully integrated hardware and software that can be deployed quickly and easily. Its revolutionary performance significantly accelerates training time, making the NVIDIA DGX-1 the world's first deep learning supercomputer in a box.

See all products 

APY

RAPIDS-Cover

AI Mt G2 is designed and optimized for machine learning. It ships two latest generation NVIDIA Quadro RTX 8000 graphics cards with 48GB of memory. This workstation takes advantage of the power and performance of the AMD Ryzen Threadripper 2990WX processor with 32 physical cores (64 wires). Based on the Linux Ubuntu environment, this configuration is ready to use with the Rapids software library for machine learning.