Google has launched a nationwide initiative to train 100,000 electrical workers and 30,000 apprentices, addressing the growing energy demands fueled by AI technologies. In collaboration with the electrical training ALLIANCE (etA), the program combines traditional electrician training with digital and AI skills, including free access to Google’s AI Essentials course. This effort, part of the AI Opportunity Fund, supports Google's new policy paper that urges clean energy innovation, grid optimization, and transmission expansion to meet an expected 128-gigawatt rise in electricity demand by 2030. With a looming shortage of 130,000 electricians, the initiative aims to build a skilled workforce ready to power the future of data centers and clean energy infrastructure.
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Tesla Cortex has 100 exaflops of computing power for training dedicated to Tesla. The second independent player, Toyota, has 0.01% of the computing power compared to Tesla. Waymo uses Google with 3% in comparison, while Mercedes, etc., rent from Nvidia with a combined 1% compared to Tesla. Waymo adopts rule-based, geo-fenced autonomous driving, while Tesla uses end-to-end neural network technology for any driving conditions.
What’s not published but well known is Tesla Dojo has been online, some speculate it already achieved similar computing power as Tesla’s 100K+ Nvidia chiplets. Vision based training needs huge amounts of data and training power
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