Key Highlights
- Waymo has developed a proprietary ASIC chip delivering over 1,000 trillion operations per second for autonomous vehicle operations
- The custom silicon uses TSMC’s 5nm manufacturing process, decreasing dependence on Nvidia and AMD hardware
- Waymo’s Ojai robotaxi, based on Zeekr’s minivan architecture, has launched for public use in San Francisco, Phoenix, and Los Angeles
- The new vehicle platform integrates Waymo’s sixth-generation autonomous technology alongside Google’s Gemini AI assistant
- Chinese manufacturing has exposed Waymo to US import tariffs, increasing vehicle acquisition costs despite efficiency gains
Alphabet’s autonomous driving subsidiary Waymo has unveiled a proprietary silicon chip designed specifically for its self-driving vehicle operations. The announcement came Thursday, with the company emphasizing enhanced capabilities for interpreting urban traffic environments.
This application-specific integrated circuit (ASIC) is purpose-built for autonomous driving rather than general computing tasks. According to Waymo, the chip delivers processing power exceeding 1,000 TOPS (trillion operations per second), matching performance levels of Nvidia‘s current autonomous driving solutions.
Previously, Waymo depended on third-party processors from semiconductor giants including Nvidia and AMD. This proprietary chip enables faster processing of sensor inputs and more efficient execution of artificial intelligence algorithms that allow vehicles to interpret and react to their surroundings.
Taiwan Semiconductor Manufacturing Company produces the chip using its 5nm fabrication technology. While not representing TSMC’s most advanced manufacturing node, this process remains a standard choice among leading technology firms.
Next-Generation Robotaxi Deployment
Simultaneously, Waymo has made its latest robotaxi model, the Ojai, available to all users across San Francisco, Phoenix, and Los Angeles. These new vehicles will incorporate the company’s custom-designed chip.
The Ojai utilizes a minivan chassis manufactured by Zeekr, an automotive brand under China’s Geely Holding Group. Waymo established its partnership with Zeekr in 2021 and has since refined the platform for commercial deployment.
Vehicles shipped to the United States arrive without Chinese connectivity systems installed. Upon arrival, they’re transported to Waymo’s Arizona operations center, where the company’s autonomous driving hardware and software are integrated.
Each Ojai features Waymo’s sixth-generation self-driving technology, engineered for compatibility across different vehicle categories. The redesigned cabin incorporates Google’s Gemini artificial intelligence platform, functioning as an interactive passenger assistant.
Approximately 300 Ojai vehicles currently operate within Waymo’s revenue-generating fleet. Passengers requesting rides in the three initial markets may receive service from these new vehicles.
Financial Considerations and Growth Plans
Waymo intends to introduce the Ojai to Denver, San Diego, and Las Vegas in the coming months. The company currently provides robotaxi services across 11 American metropolitan areas.
The Ojai platform represents a cost-reduction initiative compared to the Jaguar I-Pace models Waymo has deployed historically. Lower manufacturing, operational, and maintenance expenses are central to achieving profitability as operations scale.
Nevertheless, American import duties on vehicles manufactured in China have inflated the landed cost of each Ojai unit. These tariffs create additional financial challenges for Waymo’s cost optimization strategy.
Waymo maintains its position as America’s dominant robotaxi provider, outpacing competitors such as Tesla and Amazon’s Zoox. The deployment of a dedicated vehicle platform alongside proprietary processing hardware signals a transition toward greater vertical integration.
Alphabet’s comprehensive initiative to create custom chips for its AI infrastructure provides additional context. Waymo’s semiconductor development aligns with this corporate-wide approach to minimize reliance on external component suppliers.



