Artificial intelligence is transforming everything from scientific research to everyday computing, but its rapid growth comes with an increasingly visible environmental cost.
Behind every AI model lies a vast network of data centres that consume enormous amounts of electricity and water to keep powerful processors operating safely.
As demand for AI infrastructure accelerates, technology companies are searching for ways to reduce that impact.
Nvidia has unveiled a new liquid cooling architecture designed to make next-generation AI factories significantly more efficient by reducing both energy consumption and water use.
While the technology represents an important engineering advance, researchers caution that improving cooling systems alone will not eliminate AI's wider water footprint, which begins long before a model generates its first response.How Nvidia plans to reduce water use in AI data centres with liquid coolingAs AI models become larger and more computationally demanding, the graphics processing units (GPUs) powering them generate enormous amounts of heat.
