1st Webinar : Scaling inverse problem resolution across multiple nodes and GPUs with a simple API

We’re launching a monthly webinar series, so come join us every last Monday of the month, from 1:30 PM to 2:30 PM (CEST)! The first session “Scaling inverse problem resolution across multiple nodes and GPUs with a simple API” will be presented by Benoît Malézieux in September.

🔶 Scaling inverse problem resolution across multiple nodes and GPUs with a simple API
📅 September 28, 2026 from 1:30 PM to 2:30 PM (CEST)
💻 Online (Zoom): https://us02web.zoom.us/j/82780507411?pwd=elcVkHIft8Oxjzk2XIr9HkcPyj5NmC.1#success
(You should click on this link from the post on Linkedin to ensure you to join correctly the Zoom Video)
✅ Free access — no registration required

Want to know more? Scientific imaging pipelines are increasingly powered by neural networks, but training these models on large-scale images and volumes remains a challenge due to computational and engineering constraints. This session will introduce a distributed framework, integrated into the open-source library DeepInv, enabling seamless training and inference across multiple GPUs and nodes through a user-friendly API. We’ll demonstrate its effectiveness on large-scale inverse problems, where individual data samples contain hundreds of millions of pixels or voxels.
A unique opportunity to explore cutting-edge solutions for scalable scientific computing!