Waymo has designed a robocar chip to stay ahead of Tesla

EDGE AND IOT

5 nm ML accelerators promise 1,000+ TOPS, ultra-low latency

To reach their destinations safely, autonomous vehicles have just milliseconds to ingest and process streaming data from more than a dozen cameras. It's a job that's been handled with off-the-shelf AI components thus far, but Waymo has begun rolling its own AI ASICs to optimize the process. It's not alone.

Revealed in a blog post Thursday, the Alphabet-backed robo-taxi startup's first custom silicon is designed to convert raw sensor data into driver responses as quickly as possible.

Built on Taiwanese foundry giant TSMC’s 5 nm process tech, the chip is specifically optimized to run both more traditional machine learning algorithms like convolutional neural networks and modern transformer models similar to those used to run AI chatbots or image generation models.

According to Waymo, the chip's design incorporates more than 200 million miles worth of autonomous driving data, and...

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