British government asks people to delete old emails to reduce data centres' water use
The UK government has urged people to delete old pictures and emails as ‘data centres require vast amounts of water to cool their systems’.
How Big Cloud becomes Bigger: Scrutinizing Google, Microsoft, and Amazon's investments
In an AI gold rush, those selling the proverbial pickaxes are surest to win: cloud companies provide scalable managed computational resources as a subscr
"The most powerful new data center GPUs for AI workloads can consume as much as 700 watts apiece. With a 61% annual utilization, that would account for about 3,740,520 Wh or 3.74 MWh per year per GPU, fueling concerns about the availability of power and environmental impacts"
Millions of these chips are being sold every year.
https://www.tomshardware.com/desktops/servers/a-single-modern-ai-gpu-consumes-up-to-37-mwh-of-power-per-year-gpus-sold-last-year-alone-consume-more-power-than-13-million-households
Soundtrack: Mack Glocky - Chasing Cars
Last week, I spent a great deal of time and words framing the generative AI industry as a cynical con where OpenAI's Sam Altman and Anthropic's Dario Amodei have used a compliant media and braindead investors to frame unprofitable, unsustainable, environmentally-damaging and mediocre cloud
AI’s emissions are about to skyrocket even further
Data center emissions have tripled since 2018. As more complex AI models like OpenAI’s Sora see broad release, those figures will likely go through the roof.
Massive new AI data centres will generate millions of tonnes of electronic waste
Huge data centres built for generative AI will generate millions of tonnes of electronic waste by 2030, the equivalent of discarding billions of smartphones each year, a study suggests.
Power grab: the hidden costs of Ireland’s datacentre boom
The long read: Datacentres are part of Ireland’s vision of itself as a tech hub. There are now more than 80, using vast amounts of electricity. Have we entrusted our memories to a system that might destroy them?