Edge computing
In addition to its wide range of sensors, the IXR platform provides dedicated edge computing resources. Equipped with high-performance workstations, mobile workstations, and servers powered by NVIDIA GPUs, this computing infrastructure enables rapid data processing and analysis 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 with 64 GB of RAM
- 2 workstations with NVIDIA RTX 4090 graphics cards with 64 GB of RAM
- 1 workstation with NVIDIA RTX 5090 graphics card with 128 GB of RAM
- 1 Mac Studio M4 with 128 GB of RAM
- 1 GIGABYTE AI TOP ATOM NVIDIA DGX Spark Grace Blackwell Computer with 128 GB of RAM
- 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 (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.
IXR Platform 