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Waymo reveals details of custom computing hardware powering its robotaxis
Key points
- Waymo revealed details of its robotaxi computing hardware.
- The system includes a custom silicon chip.
- It processes up to one quadrillion operations per second.
- Hardware suppliers were also disclosed.
Waymo's Robotaxi 'Brain' Revealed
Waymo has publicly shared details regarding the high-powered computing system housed in its robotaxis. This system, described as the 'brain' of the autonomous vehicles, includes information on its chip architecture, processor specifications, and internal components. The company also listed the hardware suppliers involved in building these computers.
Processing Power for Autonomous Driving
The computing hardware is capable of performing up to one quadrillion operations per second. This processing power is essential for handling the massive streams of raw sensor data from cameras, lidar, and radar, which are then processed by artificial intelligence to make real-time driving decisions. The system is designed to provide a full 360-degree view and enable split-second actions without human intervention.
Design Principles and Operational Scale
Waymo engineers Satish Jeyachandran and Daniel Rosenband outlined three core design principles for the compute system: responsive, ruggedized, and redundant. The system must respond to sensor data with minimal latency. Waymo currently operates approximately 4,000 vehicles across more than 10 cities, conducting around 500,000 paid trips weekly, and states its technology reduces traffic crashes and injuries compared to human drivers.
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Reporting from
Waymo has disclosed key details about the custom computing hardware, including its silicon chip, that powers its autonomous robotaxis. This revelation provides insight into the technology enabling Waymo's driverless operations, which currently involve 4,000 vehicles across more than 10 cities.