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Tesla files Parallel Processing patent to reduce FSD hardware error risks

Credit: Tesla

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Tesla has filed a new patent for “Parallel Processing System Runtime State Reload,” comprising of a system of three or more processors working in conjunction to effectively eliminate the possibility of hardware failure during the use of Autopilot or Full Self-Driving. The patent outlines a robust system of parallel processors that can operate in the event that one of them fails or experiences a runtime state error. “Should one of the parallel processors fail, at least one other processor would be available to continue performing autonomous driving functions,” the patent shows.

The patent was filed and published on August 26th and comes just a week after the company’s Artificial Intelligence Day event that was held last Thursday. Outlining a system of at least three processors operating in parallel, it is monitored by circuitry and can locate and identify if one of the three parallel-operating processors is having a runtime state error. The circuitry will then identify a second processor to switch to in the event of a runtime error, access the runtime state of the second processor, and load the runtime state of the second, operational processor into the first processor, which is experiencing a runtime error.

(Credit: Tesla)

Tesla describes the patent in detail:

“A system on a Chip (SoC) includes a plurality of processing systems arranged on a single integrated circuit. Each of these separate processing systems typically performs a corresponding set of processing functions. The separate processing systems typically interconnect via one or more communication bus structures that include an N-bit wide data bus (N, an integer greater than one). Some SoCs are deployed within systems that require high availability, e.g., financial processing systems, autonomous driving systems, medical processing systems, and air traffic control systems, among others. These parallel processing systems typically operate upon the same input data and include substantially identical processing components, e.g., pipeline structure, so that each of the parallel processing systems, when correctly operating, produces substantially the same output. Thus, should one of the parallel processors fail, at least one other processor would be available to continue performing autonomous driving functions.”

Technically speaking, the autonomous vehicle needs only one processor to function as described in an accurate fashion. However, these processors can be overloaded with data when loading into the Neural Network and could experience short-term and non-permanent operational errors. When this occurs, the system would then switch to one of the other processors for normal operation, with at least two backup processors in this patent, as it repeatedly mentions a series of three.

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Tesla details its self-driving Supercomputer that will bring in the Dojo era

The second processor would then activate and load the runtime state into the first processor to make the primary processor chip operational once again:

“Thus, in order to overcome the above-described shortcomings, among other shortcomings, a parallel processing system of an embodiment of the present disclosure includes at least three processors operating in parallel, state monitoring circuitry, and state reload circuitry. The state monitoring circuitry couples to the at least three parallel processors and is configured to monitor runtime states of the at least three parallel processors and identify a first processor of the at least three parallel processors having at least one runtime state error. The state reload circuitry couples to the at least three parallel processors and is configured to select a second processor of the at least three parallel processors for state reload, access a runtime state of the second processor, and load the runtime state of the second processor into the first processor.”

The purpose of this patent is to continue system availability, even when the primary processor is experiencing functionality issues due to overuse. The two additional processors essentially act as “backup” and can determine whether autonomous driving systems are meant to be enabled if the first processor experiences an error. “With one particular example of this aspect, the parallel processing system supports autonomous driving and the respective sub-systems of the at least three parallel processors are safety sub-systems that determine whether autonomous driving is to be enabled.”

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FIG. 13 is a timing diagram illustrating clocks of the circuits of FIGS. 8 and 10 according to one or more other described embodiments. As shown, the runtime state (data1) of first processor/first sub-system is determined to have at least one error. In response to this determination by the state monitoring/state reload circuitry, the signal st_reload1 is asserted to initiate the loading of runtime state (data2) from second processor/second sub-system into the first processor/first sub-system. With the embodiment of FIG. 13, a first clock (clk1) is used for the first processor/first sub-system and a second clock (clk1) is used for the second processor/second sub-system. There exists a positive skew between the first clock (clk1) and the second clock (clk2), resulting in a late cycle of the loading of the runtime state (data2) of the second processor/second sub-system into the first processor/sub-system, potentially resulting in errors in the runtime state reload process. (Credit: U.S. Patent Office)

It also appears that this patent aligns with Tesla CEO Elon Musk’s previous description of the Dojo self-driving Supercomputer, which was detailed at AI Day. To increase the accuracy and encourage the parallel operation of the processors, the system will utilize a clock input to calibrate the two processors, increasing the accuracy of the system.

Tesla has focused on accurate FSD operation and has revised its strategy on several occasions. After moving to a camera-only approach earlier this year for the Model 3 and Model Y, the company is experiencing more accurate FSD operation through the harmonized processing of its eight exterior cameras. The operation of internal processors, which are responsible for compiling, compressing, and sending data to the Neural Network, can fail temporarily, so the presence of backup processors to continue comprehending self-driving data is a positive idea.

The full patent is available below:

Tesla Patent Parallel Processing System Runtime State Reload by Joey Klender on Scribd

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Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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SpaceX Starlink gets its latest airline adoptee, grabbing three of the ‘Big Four’

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Credit: American Airlines

SpaceX’s Starlink product has just gotten its latest airline adoptee, and the move marks the successful partnership of three of the “Big Four” U.S. airlines.

American Airlines announced on Tuesday that it would utilize Starlink in more than 500 narrowbody aircraft beginning in the first quarter of 2027. These include the Airbus aircraft in its fleet, including the new A321XLR and A321neo.

With the new partnership with American Airlines, Starlink is now present on three of the largest airlines in the country: American, United, and Southwest.

Starlink gets its latest airline adoptee for stable and reliable internet access

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Starlink’s VP of Enterprise Sales, Jason Fritch, said:

“We are proud to bring Starlink on board American Airlines, delivering fast and reliable internet to passengers and crew. Whether traveling for leisure or business, Starlink enables a fully connected experience gate to gate, making every flight smoother and more enjoyable.”

Additionally, American Airlines Chief Customer Officer, Heather Garboden, said:

“As a premium global airline, we are continuously seeking out world-class partners like Starlink to deliver what our customers need and want. The addition of Starlink solidifies American as a leading airline in keeping passengers connected in flight.”

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Starlink has been on a tear over the past year, as it has continued to be adopted by a wide variety of airlines as a more consistent and reliable way to provide WiFi to its passengers. It has already gained a great reputation among residential users, but its biggest commercial application appears to be how it is being used in the air.

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The only airline of the Big Four not to adopt Starlink thus far is Delta, which chose to opt for the alternative, which is Amazon Leo. CEO Ed Bastian said to Bloomberg that Delta chose Amazon’s product over Starlink’s because “the opportunities, in terms of the improved bandwidth with a much lower price point than what we’ve ever seen from Starlink, will make a big difference.”

Delta will not start installing Amazon Leo until 2028.

“Of course, we expect Starlink will be warning people that we’re going to go with an inferior product,” Bastian said. “But I’m not too worried about partnering with Amazon.”

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Tesla Cybertruck’s newest trim is nearing its first deliveries

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Credit: Joe Tegtmeyer | X

Tesla Cybertruck’s newest trim level is nearing its first deliveries just a few months after being offered for an incredible deal.

Back in February, Tesla officially launched a new trim of the Cybertruck, the All-Wheel-Drive, starting at just $59,990. It was a lot of truck for the money, especially considering what it offered the Rear-Wheel-Drive variant for last year, which was a total flop.

The $59,990 price that was offered initially was a deal due to its 325-mile range rating, powered tonneau, three bed outlets, Powershare capability, coil springs with adaptive damping for a refined suspension feel, Steer-by-Wire and four-wheel steering, a 6′ x 4′ composite bed, towing capacity of 7,500 pounds, and a powered frunk.

Tesla is now nearing deliveries of this trim, according to watcher Sawyer Merritt, as Tesla has officially started assigning VINs to people who ordered the vehicle initially:

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Earlier this month, we reported on units of the trim being spotted outside Gigafactory Texas by Joe Tegtmeyer.

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Tesla Giga Texas buzzing as new Cybertruck appears to enter production

This Cybertruck trim was interesting because it was released basically out of nowhere, priced incredibly well, and gathered many orders in a small amount of time. However, CEO Elon Musk noted just days afterward that the vehicle would only be priced at this bargain level for ten days.

Tesla fans were not happy.

However, the issues with the pricing strategy have blown over since the February unveiling event, and now that deliveries are near, Tesla fans are anticipating the truck making its way to their driveways soon.

The truck is currently priced at $69,990, and deliveries for new orders are slated for between August and September 2026.

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Tesla ships new feature that silences neighborhood Supercharger complaints

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Credit: Tesla

Tesla is shipping a new feature that silences neighborhood Supercharger complaints, prompting drivers to be aware of those who might be impacted by excessive noise nearby.

Tesla is now rolling out a new location-specific “Quiet Charging Zone” that prompts drivers to lower their vehicle’s audio volume in an effort to make things comfortable for everyone, even those who are not Tesla owners.

This is an impactful feature that will resolve many complaints from those who are living nearby.

When a Tesla plugs into this Supercharger and its media volume exceeds a certain level, the vehicle’s central touchscreen displays a polite notification: “Could you turn the volume down? Please be mindful of our neighbors.”

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Accompanying the message is a prominent “Lower” button. One tap automatically reduces the audio to a more considerate level. Physical “Quiet Charging Zone” signs posted at the station reinforce the request, creating a cohesive experience that blends digital nudges with on-site reminders.

This feature highlights Tesla’s unique advantages. Unlike traditional automakers, Tesla owns both the vehicle software and the charging infrastructure.

Engineers can detect the precise location via GPS, trigger context-aware prompts, and deploy changes fleet-wide in hours or days without recalls or dealer visits. No public release notes highlighted the change, suggesting it was a quiet, site-specific rollout designed to test effectiveness before potential expansion.

These are usually referred to as “Undocumented Changes.”

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Beyond immediate noise reduction, the initiative underscores Tesla’s customer- and community-focused ethos. While EVs are inherently quieter than combustion-engine vehicles, auxiliary behaviors like loud infotainment can still create friction in dense cities. Tesla’s rapid response turns potential conflict into an opportunity to demonstrate thoughtful engineering.

As Tesla expands its Supercharger network, which is now open to other EVs in many places, features like location-based quiet modes could become standard tools for harmonious integration into neighborhoods.

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