AI/Computer Vision

Edge computing

In addition to the wide range of sensors, the IXR platform has a processing power dedicated to edge computing. Equipped with high-performance workstations, mobile workstations, and servers, all powered by NVIDIA GPUs, this computing infrastructure ensures rapid data processing and analysis directly at the point of capture. Edge computing accelerates real-time decision-making and facilitates immediate action based on the acquired imaging data.

Corresponding equipment:

• 2 workstations with NVIDIA RTX 3090 graphics cards
• 2 workstations with NVIDIA RTX 4090 graphics cards
• 2 mobile workstations with NVIDIA RTX 3080TI and RTX 4090 graphics cards

Cloud computing

This computing power is complemented:

• LySe-Cloud, a computing cloud based on open source tools (OpenStack and CEPH) which provides access to the creation and use of CPU and GPU computing resources in the form of virtual machines via a simple web browser.
• a Jean Monnet University computing cluster that will be available in 2025.

Storage

The IXR platform has its own NAS-type storage unit (48 TB), which will soon be complemented by a massive storage facility provided by Jean Monnet University.

AI/Computer vision

With this level of computing and storage power, projects running on the IXR platform can implement the latest techniques in artificial intelligence and computer vision.