Energy and e-waste – the AI tsunamis

The record-breaking uptake of ChatGPT has raised huge interest- and investment – in generative AI. The ability of ChatGPT and other Large Language Models (LLMs) to bridge the linguistic gap between humans and machines has caught the popular imagination and raised awareness of the potential to automate and improve many aspects of our lives. This piece will look at the phenomenal new technology from the point of view of the IT infrastructure it will need to succeed, and how two key challenges – energy and e-waste – will require particular attention.

Step change

Generative AI will power more and more applications over the coming decade. ChatGPT, DALL-E, GitHub Copilot and Stable Diffusion, are just the first generation, creating and sorting images, answering complex questions, creating websites, and making programming accessible to all. Data Centre businesses provide the infrastructure for many High-Power Compute (HPC) configurations running generative AI and have developed specialist facilities that meet their needs. High-density power, modular architecture, high-bandwidth training (input) and inference (output) connectivity and advanced cooling are all critical factors for customers. This fascinating process supports new applications that promise to accelerate innovation and even save lives, starting the step change in infrastructure design that our industry will have to make.

Mark Kidd

EVP & GM at Iron Mountain Data Centres & Asset Lifecycle Management.

Power surge

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