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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.

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

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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.”

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:

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

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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Tesla owners propose interesting theory about Apple CarPlay and EV tax credit

“100%. It’s needed for sales because for many prospective buyers, CarPlay is a nonnegotiable must-have. If they knew how good the Tesla UI is, they wouldn’t think they need CarPlay,” one owner said.

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Credit: Tesla Raj/YouTube

Tesla is reportedly bracing for the integration of Apple’s well-known iOS automotive platform, CarPlay, into its vehicles after the company had avoided it for years.

However, now that it’s here, owners are more than clear that they do not want it, and they have their theories about why it’s on its way. Some believe it might have to do with the EV tax credit, or rather, the loss of it.

Owners are more interested in why Tesla is doing this now, especially considering that so many have been outspoken about the fact that they would not use it in favor of the company’s user interface (UI), which is extremely well done.

After Bloomberg reported that Tesla was working on Apple CarPlay integration, the reactions immediately started pouring in. From my perspective, having used both Apple CarPlay in two previous vehicles and going to Tesla’s in-house UI in my Model Y, both platforms definitely have their advantages.

However, Tesla’s UI just works with its vehicles, as it is intuitive and well-engineered for its cars specifically. Apple CarPlay was always good, but it was buggy at times, which could be attributed to the vehicle and not the software, and not as user-friendly, but that is subjective.

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Nevertheless, upon the release of Bloomberg’s report, people immediately challenged the need for it:

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Some fans proposed an interesting point: What if Tesla is using CarPlay as a counter to losing the $7,500 EV tax credit? Perhaps it is an interesting way to attract customers who have not owned a Tesla before but are more interested in having a vehicle equipped with CarPlay?

“100%. It’s needed for sales because for many prospective buyers, CarPlay is a nonnegotiable must-have. If they knew how good the Tesla UI is, they wouldn’t think they need CarPlay,” one owner said.

Tesla has made a handful of moves to attract people to its cars after losing the tax credit. This could be a small but potentially mighty strategy that will pull some carbuyers to Tesla, especially now that the Apple CarPlay box is checked.

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Ron Baron states Tesla and SpaceX are lifetime investments

Baron, one of Tesla’s longest-standing bulls, reiterated that his personal stake in the company remains fully intact even as volatility pressures the broader market.

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Credit: @TeslaLarry/X

Billionaire investor Ron Baron says he isn’t touching a single share of his personal Tesla holdings despite the recent selloff in the tech sector. Baron, one of Tesla’s longest-standing bulls, reiterated that his personal stake in the company remains fully intact even as volatility pressures the broader market.

Baron doubles down on Tesla

Speaking on CNBC’s Squawk Box, Baron stated that he is largely unfazed by the market downturn, describing his approach during the selloff as simply “looking” for opportunities. He emphasized that Tesla remains the centerpiece of his long-term strategy, recalling that although Baron Funds once sold 30% of its Tesla position due to client pressure, he personally refused to trim any of his personal holdings.

“We sold 30% for clients. I did not sell personally a single share,” he said. Baron’s exposure highlighted this stance, stating that roughly 40% of his personal net worth is invested in Tesla alone. The legendary investor stated that he has already made about $8 billion from Tesla from an investment of $400 million when he started, and believes that figure could rise fivefold over the next decade as the company scales its technology, manufacturing, and autonomy roadmap.

A lifelong investment

Baron’s commitment extends beyond Tesla. He stated that he also holds about 25% of his personal wealth in SpaceX and another 35% in Baron mutual funds, creating a highly concentrated portfolio built around Elon Musk–led companies. During the interview, Baron revisited a decades-old promise he made to his fund’s board when he sought approval to invest in publicly traded companies.

“I told the board, ‘If you let me invest a certain amount of money, then I will promise that I won’t sell any of my stock. I will be the last person out of the stock,’” he said. “I will not sell a single share of my shares until my clients sold 100% of their shares. … And I don’t expect to sell in my lifetime Tesla or SpaceX.”

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Watch Ron Baron’s CNBC interview below.

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Tesla CEO Elon Musk responds to Waymo’s 2,500-fleet milestone

While Tesla’s Robotaxi network is not yet on Waymo’s scale, Elon Musk has announced a number of aggressive targets for the service.

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Credit: Tesla

Elon Musk reacted sharply to Waymo’s latest milestone after the autonomous driving company revealed its fleet had grown to 2,500 robotaxis across five major U.S. regions. 

As per Musk, the milestone is notable, but the numbers could still be improved.

“Rookie numbers”

Waymo disclosed that its current robotaxi fleet includes 1,000 vehicles in the San Francisco Bay Area, 700 in Los Angeles, 500 in Phoenix, 200 in Austin, and 100 in Atlanta, bringing the total to 2,500 units. 

When industry watcher Sawyer Merritt shared the numbers on X, Musk replied with a two-word jab: “Rookie numbers,” he wrote in a post on X, highlighting Tesla’s intention to challenge and overtake Waymo’s scale with its own Robotaxi fleet.

While Tesla’s Robotaxi network is not yet on Waymo’s scale, Elon Musk has announced a number of aggressive targets for the service. During the third quarter earnings call, he confirmed that the company expects to remove safety drivers from large parts of Austin by year-end, marking the biggest operational step forward for Tesla’s autonomous program to date.

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Tesla targets major Robotaxi expansions

Tesla’s Robotaxi pilot remains in its early phases, but Musk recently revealed that major deployments are coming soon. During his appearance on the All-In podcast, Musk said Tesla is pushing to scale its autonomous fleet to 1,000 cars in the Bay Area and 500 cars in Austin by the end of the year.

“We’re scaling up the number of cars to, what happens if you have a thousand cars? Probably we’ll have a thousand cars or more in the Bay Area by the end of this year, probably 500 or more in the greater Austin area,” Musk said.

With just two months left in Q4 2025, Tesla’s autonomous driving teams will face a compressed timeline to hit those targets. Musk, however, has maintained that Robotaxi growth is central to Tesla’s valuation and long-term competitiveness.

@teslarati :rotating_light: This is why you need to use off-peak rates at Tesla Superchargers! #tesla #evcharging #fyp ♬ Blue Moon – Muspace Lofi
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