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The record-breaking uptake ofChatGPThas raised huge interest- and investment - in generativeAI.
Step change
Generative AI will power more and moreapplicationsover the coming decade.
EVP & GM at Iron Mountain Data Centres & Asset Lifecycle Management.
To train a ChatGPT 3.5 model requires 300-500 MW of power.
Currently, a typical data center requires 30-50 MW of power.
This is happening fast.
E-waste is one of the fastest-growing waste streams in the world.
By 2030, annual e-waste production is on track to reach a staggering 75 million metric tons.
However, just 17 percent of global e-waste is documented to be collected and properly recycled each year.
It is fair to say that generative AI will be under intense environmental scrutiny.
Decarbonization and recycling
Low-to-no-carbon power sources will be the key to addressing power challenges.
Renewables will also be key.
Data center owners will now need to take a further step.
The industry has been fairly slow to integrate this, but the uptake of this process will accelerate.
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