Waymo 1000 TOPS Robotaxi Chip Still Relies on Nvidia, AMD and Five Other Suppliers

Alphabet owned Waymo has revealed new details about the computing system powering its robotaxis, including a custom 5 nanometer chip capable of performing 1,000 trillion operations per second.

The disclosure, published on August 20, provides the clearest look yet at the onboard computer responsible for processing information from Waymo’s cameras, lidar and radar.

Waymo’s custom application-specific integrated circuit, or ASIC, performs front-end processing that cleans and combines sensor data before sending it through the vehicle’s broader artificial intelligence system. Its 1,000-TOPS performance is equivalent to one quadrillion operations per second.

However, the ASIC is only one part of Waymo’s wider computing architecture. The company also named AMD, Micron, Nvidia, Samsung, SanDisk, Socionext and TSMC as hardware suppliers supporting the platform.

Waymo Custom Chip Does Not Eliminate Nvidia or AMD

Waymo is developing the most specialized parts of its autonomous driving computer internally, but it is not attempting to manufacture the entire system itself.

The company said it concentrates its engineering resources on real-time sensor fusion and front-end machine learning, where tight integration between hardware and software can improve latency and efficiency.

For other workloads, Waymo combines its custom silicon with third-party CPUs, GPUs, accelerators, memory and storage technology.

The seven named suppliers collectively operate across those semiconductor categories. However, Waymo did not identify which components each company provides, disclose contract values or reveal expected purchasing volumes.

The announcement should therefore not be described as seven newly signed partnerships or major new semiconductor orders. It confirms that these companies participate in Waymo’s hardware supply chain but does not quantify the potential financial benefit to any individual supplier.

Waymo Onboard Computing Power Has Increased Twentyfold

Waymo’s broader onboard computer is designed around responsiveness, durability and redundancy.

The system must process sensor information within milliseconds while withstanding road vibrations, temperature extremes and continuous operation. It is also designed to remain compact and nearly silent so that the hardware does not disrupt the passenger experience.

Redundant computers operate in parallel, allowing a backup system to take over if the primary system fails.

Waymo has increased its onboard computing capacity twentyfold over the past eight years, according to details reported by The Verge.

Much of Waymo’s model training and simulation still occurs in data centers. However, immediate driving decisions must be made inside the vehicle because sending sensor data to the cloud would introduce unacceptable delays and connectivity risks.

Alphabet Gains Control Without Building Every Component

Waymo’s hybrid approach gives Alphabet greater control over the parts of the system that differentiate its autonomous-driving technology without requiring it to recreate every processor, accelerator and memory component.

That balance could become increasingly important as the robotaxi fleet expands.

Waymo currently operates approximately 4,000 vehicles across more than 10 cities and completes around 500,000 paid trips each week. A larger fleet will require substantial quantities of onboard computing hardware, potentially creating a growing market for the semiconductor suppliers involved.

However, vehicle volumes remain the critical variable. Without details about component content, pricing or procurement commitments, investors cannot calculate how much revenue Waymo may generate for AMD, Nvidia, Micron, Samsung, SanDisk, Socionext or TSMC.

Sixth Generation Waymo Driver Moves Toward Mass Production

Waymo is preparing to deploy its sixth-generation Driver across multiple vehicle platforms.

The purpose built Ojai robotaxi is the first vehicle scheduled to debut the sixth-generation system. Waymo has also designed the technology for integration into the Hyundai IONIQ 5.

The latest generation uses a streamlined sensor configuration and pushes more processing into custom silicon, helping Waymo reduce hardware complexity and costs while maintaining multiple sensing methods.

Waymo said its factory in Mesa, Arizona, is scaling toward the capacity to integrate tens of thousands of autonomous vehicles annually. That figure represents potential manufacturing capacity not current production volume.

The company’s Ojai expansion update said the new vehicle would initially become available to selected riders in San Francisco, Phoenix and Los Angeles before expanding into additional markets.

What the Disclosure Means for Alphabet and Chip Stocks

The new details strengthen Alphabet’s autonomous driving narrative by showing that Waymo controls a critical part of its computing stack.

Custom silicon could improve performance, reduce latency and lower hardware costs as Waymo moves toward larger-scale deployment. At the same time, the supplier list shows that Waymo’s vertical integration does not remove established semiconductor companies from the robotaxi opportunity.

The disclosure is therefore strategically positive for Alphabet and potentially supportive for the seven named suppliers. Nevertheless, it is not evidence of new contracts or immediately material semiconductor revenue.

The financial impact will depend on how quickly Waymo expands its fleet, how much hardware each vehicle requires and which suppliers capture the largest share of future production.