Rivian Unveils Custom AI Chip, Reduces Dependence on Nvidia

Rivian Automotive unveiled a custom artificial intelligence (AI) chip and a comprehensive autonomy platform designed and engineered in-house.

The announcement, made at the company’s first “Autonomy & AI Day” in Palo Alto, California, marks a departure from reliance on third-party computing solutions such as Nvidia’s processors. Rivian said its new silicon and software architecture will power next-generation driver assistance and automated capabilities, starting with its upcoming R2 vehicle line and future vehicles beyond.

Rivian’s announcement highlights a broader shift in the EV industry toward vertical integration of hardware and software. The company described the custom chip as engineered specifically to meet the demands of autonomous driving systems, where coordination between sensors, neural networks and compute is critical.

That approach contrasts with using general purpose chips from Nvidia, designed to serve many customers and use cases, which can limit long-term customization and result in slow feature development.

Rivian’s Custom Silicon and Platform Design

At the center of Rivian’s initiative is the Rivian Autonomy Processor (RAP1), a custom, purpose-built chip fabricated by Taiwan Semiconductor Manufacturing Co. (TSMC) that Rivian said is optimized for vision-centric AI tasks.

The company said RAP1 powers its new third-generation compute architecture, the Autonomy Compute Module 3 (ACM3), which it expects to ship on production vehicles starting with the R2 in late 2026.

Rivian also said it plans to include lidar sensors alongside cameras and radar in future vehicles as part of a multimodal sensor strategy to enhance object detection and redundancy. The company also introduced new autonomy software built on a foundational “Large Driving Model,” a neural network architecture trained on real and simulated driving data, which Rivian says will be integrated across future vehicles to support improved perception and planning.

Shift From General Purpose Chips

According to Bloomberg, Rivian plans to replace Nvidia processors used in earlier generations of its autonomy systems with its own in-house silicon in future vehicles.

CNBC reported that Rivian’s leadership framed autonomy as an end-to-end effort, emphasizing that compute, sensors, models and software must be developed together rather than added on to existing platforms. The strategy reflects a growing view among automakers that tighter integration across the autonomy stack can improve development speed and long-term flexibility, even as companies remain cautious about timelines for more advanced self-driving capabilities.

Rivian also released a subscription offering, Autonomy+, which will deliver enhanced driver-assistance features. The service is priced at $2,500 upfront or $49.99 per month, significantly below comparable offerings from some competitors. Universal hands-free driver assistance is projected to work on more than 3.5 million miles of mapped roads in the U.S. and Canada, expanding Rivian’s assisted driving coverage substantially.

Strategic Parallels in Auto and Tech

Rivian’s decision to build its own silicon places it alongside companies that have pursued vertical integration as a competitive strategy. Tesla has long developed its own full self-driving processors, working with Samsung and TSMC for manufacturing, to tailor compute performance to its software stack.

Chinese automakers such as BYD, XPeng and Nio have also introduced proprietary chips and autonomy platforms, in some cases exploring whether to license that technology to other manufacturers. These moves reflect a broader industry trend toward control over core compute components as autonomy becomes more central to product differentiation.

Outside automotive, Apple’s shift to custom silicon in its consumer devices despite the availability of capable processors from Intel and Qualcomm provides a parallel. By designing chips tailored to the company’s software and product goals, Apple gained advantages in performance, power efficiency and product integration. Rivian’s strategy appears to apply the same principle to autonomous driving, treating the compute layer as strategic intellectual property rather than a commodity.

Rivian said it expects vehicles equipped with its custom autonomy hardware and software to begin production in late 2026, with ongoing updates to both hands-free and higher-level autonomous features in years that follow.