This post was originally published on Data Center Knowledge
A lot is going on in the AI hype world, especially when it comes to scaling. Importantly, the AI-driven surge in data center power demand is not just a trend – it’s a seismic shift that will reshape our thinking about energy consumption.
AI processing requires an immense amount of energy. To put it in perspective, OpenAI’s ChatGPT alone consumes around 1 GWh a day – enough electricity to power 33,000 homes – and that is just one AI model. This is just an atom-sized use case compared to the demand driven by data centers.
By 2028, the data center concurrent peak load is expected to climb from 808 MW in 2023 to 4.6 GW – enough to power 3.8 million homes – and AI is predicted to represent nearly 20% of data center demand.
The grid is under immense strain, requiring urgent upgrades to accommodate the escalating demands and prevent potential blackouts.
The stakes are high: Today’s mission-critical data centers rely on power availability to ensure day-to-day operations are uninterrupted and data is continuously secure and available. Even a brief power outage can cost data centers and their clients thousands of dollars per minute of downtime.
Sustainable solutions are no longer optional; they’re critical to meeting the needs of this rapidly evolving technology
— Read the rest of this post, which was originally published on Data Center Knowledge.
