If you use computers daily, you will realise that faster processing is always better to complete your tasks. But if you are just browsing the internet, editing a file, or checking email, depending on the tasks, you may not need that much of processing power! However, when you are running a Deep Learning or Machine Learning algorithm dealing with billions of data elements, speed becomes a requirement rather than just an option. But to reach an adequate level of processing speed a complex set of activities will have to be performed and validated while preserving data integrity security and availability. From hardware and software selection passing by configuration, orchestration, compilation, to optimisation and results generation. Let’s take a deep dive into the world of High-Performance Computing with HILDA!