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
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:
Tesla Patent Parallel Processing System Runtime State Reload by Joey Klender on Scribd
News
Tesla China exports 50,644 vehicles in January, up sharply YoY
The figure also places Tesla China second among new energy vehicle exporters for the month, behind BYD.
Tesla China exported 50,644 vehicles in January, as per data released by the China Passenger Car Association (CPCA).
This marks a notable increase both year-on-year and month-on-month for the American EV maker’s Giga Shanghai-built Model 3 and Model Y. The figure also places Tesla China second among new energy vehicle exporters for the month, behind BYD.
The CPCA’s national passenger car market analysis report indicated that total New Energy Vehicle exports reached 286,000 units in January, up 103.6% from a year earlier. Battery electric vehicles accounted for 65% of those exports.
Within that total, Tesla China shipped 50,644 vehicles overseas. By comparison, exports of Giga Shanghai-built Model 3 and Model Y units totaled 29,535 units in January last year and just 3,328 units in December.
This suggests that Tesla China’s January 2026 exports were roughly 1.7 times higher than the same month a year ago and more than 15 times higher than December’s level, as noted in a TechWeb report.
BYD still led the January 2026 export rankings with 96,859 new energy passenger vehicles shipped overseas, though it should be noted that the automaker operates at least nine major production facilities in China, far outnumering Tesla. Overall, BYD’s factories in China have a domestic production capacity for up to 5.82 million units annually as of 2024.
Tesla China followed in second place, ahead of Geely, Chery, Leapmotor, SAIC Motor, and SAIC-GM-Wuling, each of which exported significant volumes during the month. Overall, new energy vehicles accounted for nearly half of China’s total passenger vehicle exports in January, hinting at strong overseas demand for electric cars produced in the country.
China remains one of Tesla China’s most important markets. Despite mostly competing with just two vehicles, both of which are premium priced, Tesla China is still proving quite competitive in the domestic electric vehicle market.
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Tesla adds a new feature to Navigation in preparation for a new vehicle
After CEO Elon Musk announced earlier this week that the Semi’s mass production processes were scheduled for later this year, the company has been making various preparations as it nears manufacturing.
Tesla has added a new feature to its Navigation and Supercharger Map in preparation for a new vehicle to hit the road: the Semi.
After CEO Elon Musk announced earlier this week that the Semi’s mass production processes were scheduled for later this year, the company has been making various preparations as it nears manufacturing.
Elon Musk confirms Tesla Semi will enter high-volume production this year
One of those changes has been the newly-released information regarding trim levels, as well as reports that Tesla has started to reach out to customers regarding pricing information for those trims.
Now, Tesla has made an additional bit of information available to the public in the form of locations of Megachargers, the infrastructure that will be responsible for charging the Semi and other all-electric Class 8 vehicles that hit the road.
Tesla made the announcement on the social media platform X:
We put Semi Megachargers on the map
→ https://t.co/Jb6p7OPXMi pic.twitter.com/stwYwtDVSB
— Tesla Semi (@tesla_semi) February 10, 2026
Although it is a minor development, it is a major indication that Tesla is preparing for the Semi to head toward mass production, something the company has been hinting at for several years.
Nevertheless, this, along with the other information that was released this week, points toward a significant stride in Tesla’s progress in the Semi project.
Now that the company has also worked toward completion of the dedicated manufacturing plant in Sparks, Nevada, there are more signs than ever that the vehicle is finally ready to be built and delivered to customers outside of the pilot program that has been in operation for several years.
For now, the Megachargers are going to be situated on the West Coast, with a heavy emphasis on routes like I-5 and I-10. This strategy prioritizes major highways and logistics hubs where freight traffic is heaviest, ensuring coverage for both cross-country and regional hauls.
California and Texas are slated to have the most initially, with 17 and 19 sites, respectively. As the program continues to grow, Florida, Georgia, Illinois, Washington, New York, and Nevada will have Megacharger locations as well.
For now, the Megachargers are available in Lathrop, California, and Sparks, Nevada, both of which have ties to Tesla. The former is the location of the Megafactory, and Sparks is where both the Tesla Gigafactory and Semifactory are located.
Elon Musk
Tesla stock gets latest synopsis from Jim Cramer: ‘It’s actually a robotics company’
“Turns out it’s actually a robotics and Cybercab company, and I want to buy, buy, buy. Yes, Tesla’s the paper that turned into scissors in one session,” Cramer said.
Tesla stock (NASDAQ: TSLA) got its latest synopsis from Wall Street analyst Jim Cramer, who finally realized something that many fans of the company have known all along: it’s not a car company. Instead, it’s a robotics company.
In a recent note that was released after Tesla reported Earnings in late January, Cramer seemed to recognize that the underwhelming financials and overall performance of the automotive division were not representative of the current state of affairs.
Instead, we’re seeing a company transition itself away from its early identity, essentially evolving like a caterpillar into a butterfly.
The narrative of the Earnings Call was simple: We’re not a car company, at least not from a birds-eye view. We’re an AI and Robotics company, and we are transitioning to this quicker than most people realize.
Tesla stock gets another analysis from Jim Cramer, and investors will like it
Tesla’s Q4 Earnings Call featured plenty of analysis from CEO Elon Musk and others, and some of the more minor details of the call were even indicative of a company that is moving toward AI instead of its cars. For example, the Model S and Model X will be no more after Q2, as Musk said that they serve relatively no purpose for the future.
Instead, Tesla is shifting its focus to the vehicles catered for autonomy and its Robotaxi and self-driving efforts.
Cramer recognizes this:
“…we got results from Tesla, which actually beat numbers, but nobody cares about the numbers here, as electric vehicles are the past. And according to CEO Elon Musk, the future of this company comes down to Cybercabs and humanoid robots. Stock fell more than 3% the next day. That may be because their capital expenditures budget was higher than expected, or maybe people wanted more details from the new businesses. At this point, I think Musk acolytes might be more excited about SpaceX, which is planning to come public later this year.”
He continued, highlighting the company’s true transition away from vehicles to its Cybercab, Optimus, and AI ambitions:
“I know it’s hard to believe how quickly this market can change its attitude. Last night, I heard a disastrous car company speak. Turns out it’s actually a robotics and Cybercab company, and I want to buy, buy, buy. Yes, Tesla’s the paper that turned into scissors in one session. I didn’t like it as a car company. Boy, I love it as a Cybercab and humanoid robot juggernaut. Call me a buyer and give me five robots while I’m at it.”
Cramer’s narrative seems to fit that of the most bullish Tesla investors. Anyone who is labeled a “permabull” has been echoing a similar sentiment over the past several years: Tesla is not a car company any longer.
Instead, the true focus is on the future and the potential that AI and Robotics bring to the company. It is truly difficult to put Tesla shares in the same group as companies like Ford, General Motors, and others.
Tesla shares are down less than half a percent at the time of publishing, trading at $423.69.
Tesla China exports 50,644 vehicles in January, up sharply YoY
Tesla adds a new feature to Navigation in preparation for a new vehicle
