Foxconn and Nvidia are building 'AI factories' to accelerate self-driving cars | TechCrunch

I am really not a fan of how they use the term self-driving cars. They are only self-driving in very specific conditions, trained on very specific roads, and even then, they consistently fail in the United States. Pretending that the same model will work anywhere else is delusional, and no one is going to create a universal road standard just for this

This is the best summary I could come up with:

Nvidia and Foxconn are working together to build so-called “AI factories,” a new class of data centers that promise to provide supercomputing powers to accelerate the development of self-driving cars, autonomous machines and industrial robots.

The AI factory tie-up builds off a partnership between Nvidia and Foxconn announced in January to develop autonomous vehicle platforms.

On Tuesday, Foxconn also committed to manufacturing ECUs with Drive Thor, Nvidia’s next-gen SoC, after production starts in 2025.

As part of that partnership, Foxconn — which has been steadily unveiling off-the-shelf EV platforms for automakers to purchase — said the vehicles it makes as a contract manufacturer will be built with Nvidia’s Drive Hyperion 9 platform, which includes not only Drive Thor, but also a suite of sensors like cameras, radar, lidar and ultrasonic that are necessary for self-driving capabilities.

Because these AI factories are essentially rivals to Tesla’s Dojo supercomputer, which the Elon Musk-owned automaker started production on over the summer.

“This is a factory that takes data input and produces intelligence as an output,” said Huang, as Liu nodded his assent.

The original article contains 548 words, the summary contains 178 words. Saved 68%. I'm a bot and I'm open source!