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Last updated: December 15, 2025 9:26 pm
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Published: December 15, 2025
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Bulletins round these subjects headlined Rivian’s first “Autonomy and AI Day” in Palo Alto on Thursday, the place executives highlighted a slew of tech developments the EV startup is slated to roll out within the close to future.

Let the chips fall: Rivian execs introduced the event of customized silicon that can underpin its next-generation autonomy platform and that they stated would ship value, efficiency, and pace advantages.

“Our up to date {hardware} platform, which incorporates our in-house 1600 sparse TOPS inference chip, will allow us to realize dramatic progress in self-driving to in the end ship on our objective of delivering L4,” Rivian founder and CEO RJ Scaringe stated in a press release.

Execs unveiled what they’re calling the Rivian Autonomy Processor, or RAP1, described in a information launch as “a customized 5nm processor that integrates processing and reminiscence onto a single multi-chip module.” The RAP1 will help Rivian’s third-gen autonomy pc, dubbed ACM3, which the corporate stated may have the ability to course of 5 billion pixels per second.

The corporate plans to roll out the brand new third-gen autonomy {hardware} in R2 fashions starting in late 2026.

“With our in-house silicon growth, we’re in a position to begin our software program growth virtually a yr forward of what we will do with provider silicon,” Vidya Rajagopalan, Rivian’s SVP {of electrical} {hardware}, stated throughout a livestream of the occasion.

Moreover, executives introduced that future fashions of its second-gen car lineup, R2, may have lidar sensors built-in into the sensor suite, supplementing cameras and radar. Rajagopalan stated the choice to introduce lidar got here right down to enhancements within the sensors’ value, efficiency, and design lately.

“Digicam is the primary workhorse of our sensor suite, producing the majority of the info fed to the fashions,” she stated, “however the radar and lidar are essential to addressing the sting instances which might in any other case create the lengthy tail of downside instances.”

Palms off: Rivian unveiled the corporate’s Massive Driving Mannequin, or LDM, “a foundational autonomous mannequin educated like a big language mannequin.”

“With the deployment of our Gen 2 R1s, we started the method of constructing our knowledge flywheel to develop and construct our massive driving mannequin,” Scaringe stated.

“Our strategy to constructing self-driving is absolutely designed round this knowledge flywheel, the place a deployed fleet has a fastidiously designed knowledge coverage that enables us to determine essential and fascinating occasions that we will use to coach our massive mannequin offline earlier than distilling the mannequin again down into the car,” he added.

To that finish, Rivian plans to roll out software program updates to second-gen R1 autos, quickly to broaden hands-free assisted driving throughout 3.5 million miles of roads within the US and Canada. Subsequent yr, the corporate will launch a subscription bundle for autonomy options priced at a one-time value of $2,500, or $49.99 per thirty days.

Scaringe stated the Gen 3 autonomy platform additionally will have the ability to do point-to-point journeys, and sketched out a imaginative and prescient during which Rivian’s autonomy capabilities incrementally enhance over time, finally enabling eyes-off driving and totally autonomous driving—and perhaps even give Rivian a chance to hop into the robotaxi race.

“Whereas our preliminary focus can be on personally owned autos, which at present symbolize a overwhelming majority of the miles pushed in the US, this additionally allows us to pursue alternatives within the rideshare area,” Scaringe stated.

Let’s chat: In early 2026, Rivian plans to debut a brand new AI voice instrument referred to as Rivian Assistant on Gen 1 and Gen 2 R1 autos. Whereas the assistant will have the ability to connect with third-party apps like Google Calendar, will probably be underpinned by Rivian Unified Intelligence, a “shared, multi-modal, and multi-LLM basis.”

“Straight controlling our community structure and our software program platforms in our autos has in fact created a chance for us to ship amazingly wealthy software program,” Scaringe stated, “however maybe much more importantly, that is the muse of enabling AI throughout our autos and our enterprise.”

This report was initially revealed by Tech Brew.

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