Photonics is proving to be a tough nut to crack
Kyle Wiggers
18 hours
The growing compute power necessary to train sophisticated AI models such as OpenAI’s ChatGPT might eventually run up against a wall with mainstream chip technologies.
In a 2019 analysis, OpenAI found that from 1959 to 2012, the amount of power used to train AI models doubled every two years, and that the power usage began rising seven times faster after 2012.
It’s already causing strain. Microsoft is reportedly facing an internal shortage of the server hardware needed to run its AI, and the scarcity is driving prices up. CNBC, …
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