Waymo’s Custom AI Chip Hits 1,000 TOPS to Cut Self-Driving Reaction Time
Autonomous vehicles get roughly a heartbeat’s worth of time to read the road, decide what’s happening, and react. That razor-thin window is exactly why Waymo has built a custom AI chip designed to compress sensor processing down to the fewest possible milliseconds. The Alphabet-backed robotaxi company detailed the silicon in a blog post this week, marking the first time it has publicly broken down the hardware sitting in the trunk of every one of its driverless cars.
Key takeaways
- Waymo has designed its own AI ASIC, manufactured on TSMC’s 5-nanometer process, to process sensor data faster than the off-the-shelf hardware it previously relied on.
- The chip’s design draws on more than 200 million miles of real-world autonomous driving data and can run both convolutional neural networks and transformer models.
- Waymo says the ASIC delivers over 1,000 TOPS of AI performance, likely measured at INT8 precision, though exact power draw remains unclear.
- The company still leans on outside suppliers, including AMD, Micron, Samsung, Sandisk, and Nvidia, for non-machine-learning tasks like data logging and orchestration.
- Waymo previously used Intel FPGAs for sensor processing before shifting to its own silicon, joining Tesla in the race to build custom chips for autonomous driving.
Waymo’s Custom AI Chip Built for Split-Second Decisions
Waymo’s new chip exists to turn a flood of raw camera, radar, and lidar data into a driving decision before a dangerous moment can fully unfold. The company describes it as the front line of its compute stack, cleaning up incoming sensor streams and running fast AI checks the instant information arrives, rather than shipping messy raw data straight to the car’s main processing brain.
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