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Waymo Unveils Custom AI Chip for Robotaxi Efficiency

Created at 23 Aug · 4:16 PM1 source↑ Market-relevant
IN SHORT

Waymo has developed a custom 5nm ASIC chip designed to process data for its self-driving systems, aiming for enhanced efficiency and performance in its robotaxis. The chip delivers over 1,000 TOPS, comparable to Nvidia's automotive processors, and is integrated into its next-generation Ojai robotaxi.

Key Numbers

5 nmASIC chip process node
1,000+ TOPScomputing performance
13high-fidelity cameras on Ojai robotaxi
$150 millionAlso's Series D funding
$455 millionAlso's total funding since spin-out
500Tesla Semis Einride will buy
$5 millionGrounded's seed round
1 milliondaily deliveries goal for Uber/Zipline
$19 millionVessev's Series A funding
500U.S. cities for Amazon drone delivery by end of 2026
8,000robotaxis to be deployed in Clark County, Nevada
€825 millionUber fine in the Netherlands

Who's Involved

Waymo
developed custom AI chip for robotaxi ambitions
Sean O’Kane
senior reporter, special projects at TechCrunch
Kirsten Korosec
reporter at TechCrunch
Also
startup incubated within Rivian, raised $150M
Serve Robotics
sidewalk delivery robot company partnering with Grubhub
Einride
Swedish electric and autonomous trucking company
Grounded
Detroit-based startup customizing electric vans
Zipline
drone delivery company partnering with Uber
Vessev
New Zealand startup developing electric hydrofoil boats
Genesis
Hyundai's luxury car brand
Tesla
recalling millions of vehicles in China
Uber
received permit for commercial robotaxi services in Nevada
Waymo Unveils Custom AI Chip for Robotaxi Efficiency

↳ Why This Matters

Waymo's development of custom AI silicon signifies a deeper level of vertical integration in the autonomous vehicle industry, potentially offering significant cost and performance advantages. This move could accelerate the deployment and profitability of robotaxi services, while also highlighting the critical role of specialized hardware in advancing AI capabilities for complex tasks.

Key facts

  • Waymo developed a custom 5nm ASIC chip for its next-generation Ojai robotaxi.
  • The chip provides over 1,000 TOPS of computing performance.
  • This custom silicon is designed to handle massive data influx from sensors like 13 cameras.
  • Waymo aims for unmatched efficiency and performance for safe operation in complex environments.
  • Partners in Waymo's compute efforts include AMD, Micron, Nvidia, Samsung, Sandisk, Socionext, and TSMC.

Waymo, a leader in autonomous vehicle technology, has developed its own custom silicon chip to enhance the performance and efficiency of its robotaxi fleet. The company revealed this week that its next-generation Ojai robotaxi, now available to all riders in Los Angeles, Phoenix, and San Francisco, is powered by a custom 5nm ASIC chip.

This custom silicon is designed to handle the massive influx of data generated by the vehicle's sensors, including 13 high-fidelity cameras. Waymo states the chip delivers over 1,000 TOPS (trillions of operations per second) of computing performance, positioning it competitively with high-end processors like Nvidia's DRIVE AGX Thor. The company asserts this chip is crucial for enabling its system to react quickly and safely in complex urban environments.

Waymo is working with a range of partners on its compute efforts, including AMD, Micron, Nvidia, Samsung, Sandisk, Socionext, and TSMC. The development of custom silicon is part of Waymo's strategy to reduce build, operating, and maintenance costs for its robotaxis, a key step towards achieving profitability.

In other mobility news, the Idaho National Laboratory is reportedly investigating potential security risks associated with Chinese lidar sensors in U.S. vehicles, funded by companies in the EV and autonomous vehicle sectors. Startups also saw significant activity: Also raised $150 million in Series D funding, Serve Robotics secured partnerships with Grubhub and expanded its DoorDash deal, and Einride will purchase 500 Tesla electric Semis. Grounded raised $5 million in seed funding, and Vessev secured $19 million in Series A funding. Uber is investing in drone delivery company Zipline, aiming for one million daily deliveries by 2029, and also received a significant fine in the Netherlands for data protection violations related to driver accounts. Tesla is recalling millions of vehicles in China due to a door release issue, while Tesla, Uber, and Waymo have all obtained permits for commercial robotaxi operations in Nevada's Clark County.

Frequently asked questions

The custom ASIC chip is designed to handle the massive influx of raw data from the robotaxi's sensors, improving efficiency and performance for the self-driving system.

Waymo's chip delivers over 1,000 TOPS of computing performance, putting it in a similar performance range as Nvidia's latest DRIVE AGX Thor automotive processor.

Waymo's partners include AMD, Micron, Nvidia, Samsung, Sandisk, Socionext, and TSMC.

The lab is evaluating whether Chinese lidar sensors might pose a security risk if widely adopted in U.S. vehicles.

What Happens Next

01Waymo's Ojai robotaxi continues expansion to new cities.
02Further details on Waymo's chip integration and performance are expected.
03The Idaho National Laboratory's lidar sensor investigation findings will be released.

How It Developed

Waymo's sixth-generation self-driving system debuted in its Ojai robotaxi.
Waymo opened its Ojai robotaxi to all riders in Los Angeles, Phoenix, and San Francisco.
Waymo revealed it built a custom 5nm ASIC chip for its self-driving system.
The custom chip delivers over 1,000 TOPS of computing performance.
Waymo listed partners including AMD, Micron, Nvidia, Samsung, Sandisk, Socionext, and TSMC.
Idaho National Laboratory is evaluating Chinese lidar sensors for security risks.
Also, a startup incubated within Rivian, raised $150 million in a Series D round.
Also's mission evolved to building autonomous small electric vehicles.

Sources

T1
TechCrunch Mobility: The custom chip driving Waymo’s robotaxi ambitionsTechCrunch

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