Data Centres

In today’s evolving digital world, Artificial Intelligence (AI) has emerged as a transformative force, touching almost every facet of our lives. Its influence on how the world is evolving, advancing, and prospering is rapidly increasing.

The ability to deliver reliable, scalable power for the digital economy will shape the next generation of global prosperity. We must think big because AI hyperscalers – the largest tech companies in the world – don’t build small. Capital Power’s fleet can deliver the gigawatt-scale electricity required by leading innovators to support their global operations.

Why do we need AI infrastructure?

Behind every AI process – from voice assistants and medical imaging to predictive analysis, automation, and robotics – are once-unimaginable innovations that are now available at the push of a button. This is made possible by a rapidly growing industry of large-scale data centres and hyperscaler facilities – the physical infrastructure enabling world-changing innovation driven by AI. Demand for AI infrastructure is growing – the global data centre market is expected to grow exponentially over the next decade!

What is a data centre?

Data centres are complex, vast digital infrastructure created to house IT equipment and process and manage large volumes of digital data and computing resources. They provide the necessary infrastructure for businesses, organizations, and online services to store and access data, run applications, AI compute, and ensure reliable, high-speed network connectivity. Every email sent, video streamed, or AI query performed relies on data centres to function seamlessly.

What is a hyperscaler?

A hyperscaler takes the concept of data centres to the next level. It is a cloud service provider that manages large data centre capacity and offers cloud solutions to businesses and software vendors. Hyperscalers help businesses handle computing, storage, and other IT processes for millions of users and provide access to cutting-edge technologies like artificial intelligence, machine learning, and big data analytics.