SHAPE Project Axyon AI: a scalable HPC Platform for AI Algorithms in Finance
The goal of this work was to maximize the efficiency of accessing different types of remote computational resources potentially available to our proprietary Machine Learning platform, without losing the flexibility provided by in-house compute power. This is a mandatory requirement for a FinTech company oftentimes working with proprietary data that cannot be uploaded to cloud systems. We achieved this by designing and implementing a scalable and flexible DB-centric Master-Slave system architecture able to exploit any connected internal or external computational resource (including an HPC cluster) in a flawless and secure way. This was the first project that marked a fruitful and ongoing collaboration with CINECA, the largest Italian computing centre.