Of the roughly $10 billion in AI-related expenditures, Elon said Tesla would make this year, about half is internal, primarily the Tesla-designed AI inference computer and sensors present in all of our cars, plus Dojo.
For building the AI training superclusters, NVidia hardware is about 2/3 of the cost.
Elon Musk’s current best guess for Nvidia purchases by Tesla are $3B to $4B this year.
This math seems to mean that $1.5 billion to $2 billion would be spent on Dojo chips and Dojo AI training superclusters.
$4 billion is being spent on the inference chips (FSD chips) and sensors in cars. This means for 2 million cars the AI inference and sensors are about $2000 per car.
Of the roughly $10B in AI-related expenditures I said Tesla would make this year, about half is internal, primarily the Tesla-designed AI inference computer and sensors present in all of our cars, plus Dojo.
For building the AI training superclusters, NVidia hardware is about…
— Elon Musk (@elonmusk) June 4, 2024
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
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