julien

Introduction As AI and large language models move into production, GPU-accelerated Kubernetes clusters have become the foundation of modern AI platforms. To support model training, inference, and end-to-end workflows, organizations continue to invest heavily in GPU, CPU, and memory resources. At the same time, a growing reality is becoming impossible to ignore: a significant portion […]

Background In today’s financial sector, the manual extraction of Key Performance Indicators (KPIs) from annual reports represents a significant operational bottleneck. Financial institutions process thousands of reports annually, each containing critical metrics buried within complex document structures. This process traditionally requires substantial human effort, is prone to errors, and struggles to scale with increasing document

Introduction The demand for computing power has never been higher. AI workloads continue to grow, data pipelines become more complex, and both users in production and innovation rely on increasingly large HPC platforms capable of handling more numerous and larger-scale calculations. Yet despite their impressive capabilities, computing centers such as cloud providers, on-prem infrastructures and

Introduction AI workloads are pushing organizations toward multi-cloud strategies, driven by rapid technological change and the search for affordable pricing. Challenges like GPU shortages, unpredictable cloud costs, data-governancy, and security rules make relying on a single cloud risky and potentially expensive. However, managing multiple clouds manually is painful, to say the least. It creates fragmentation,

Deep dive into Ryax’s serverless technology Running backends implies being able to scale operations up and down depending on demand, thus allowing for optimized infrastructure costs and overall resource preservation. In RYAX platform, we use Serverless principles to achieve that, but without our users having to do the heavy lifting themselves. On top of this,

We use PostgreSQL in Ryax as a way to store information for all our stateful services, each service having a different access credentials and a separate database. On the user side, we also make use of PostgreSQL to store backend workflow data points so developers can easily access, generate and manipulate data when building or

Today is a big day for us… Today we launch our #lowcode #opensource backend platform! We’ve spent months building this new solution for developers to: Build their backends in record time Deploy at scale with serverless technology Self-host, install on any cloud or use our hosted platform (coming soon) All this in a low code, open