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 Model Y Standard stuns in new range test, besting its Premium siblings
Tesla’s newer vehicles have continued to meet or exceed their EPA estimates. This is a drastic change, as every 2018-2023 model year Tesla that Edmunds assessed did not meet its range estimates.
The Tesla Model Y Standard stunned in a new range test performed by automotive media outlet Edmunds, besting all of its Premium siblings that are more expensive and more luxurious in terms of features.
Testing showed the Model Y Standard exceeded its EPA-estimated range rating of 321 miles, as Edmunds said it is the “longest-range Model Y that we’ve ever put on our loop.” In the past, some vehicles have come up short in comparison with EPA ranges; for example, the Model Y’s previous generation vehicle had an EPA-estimated range of 330 miles, but only drove 310.
Additionally, the Launch Series Model Y, the first configuration to be built in the “Juniper” program, landed perfectly on the EPA’s range estimates at 327 miles.
It was also more efficient than Premium offerings, as it utilized just 22.8 kWh to go 100 miles. The Launch Series used 26.8 kWh to travel the same distance.
It is tested using Edmunds’ traditional EV range testing procedure, which follows a strict route of 60 percent city and 40 percent highway driving. The average speed throughout the trip is 40 MPH, and the car is required to stay within 5 MPH of all posted speed limits.
Each car is also put in its most efficient drive setting, and the climate is kept on auto at 72 degrees.
“All of this most accurately represents the real-world driving that owners do day to day,” the publication says.
With this procedure, testing is as consistent as it can get. Of course, there are other factors, like temperature and traffic density. However, one thing is important to note: Tesla’s newer vehicles have continued to meet or exceed their EPA estimates. This is a drastic change, as every 2018-2023 model year Tesla that Edmunds assessed did not meet its range estimates.
Tesla Model Y Standard vs. Tesla Model Y Premium
Tesla’s two Model Y levels both offer a great option for whichever fits your budget. However, when you sit in both cars, you will notice distinct differences between them.
The Premium definitely has a more luxurious feel, while the Standard is stripped of many of the more premium features, like Vegan Leather Interior, acoustic-lined glass, and a better sound system.
You can read our full review of the Model Y Standard below:
Tesla Model Y Standard Full Review: Is it worth the lower price?
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Xpeng CEO: Tesla FSD 14.2 has developed “near-Level 4” performance
While acknowledging that imperfections remain, the Xpeng CEO said FSD’s current iteration significantly surpasses last year’s capabilities.
Xpeng CEO He Xiaopeng has offered fresh praise for Tesla’s Full Self-Driving (FSD) system after revisiting Silicon Valley more than a year after his first hands-on experience.
Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
Tesla FSD closing in on Level 4 driving
During his visit, He test-drove a Tesla equipped with FSD V14.2. He also rode in a Tesla Robotaxi. Over roughly five hours of driving across Silicon Valley and San Francisco, He said both vehicles delivered consistent and reassuring performance, a notable improvement from his experience a year earlier.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that imperfections remain, the Xpeng CEO said FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, allowing users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
He previously tested Tesla’s FSD V12.3.6 and Waymo vehicles in California in mid-2024, noting at the time that Waymo performed better in dense urban environments like San Francisco, while Tesla excelled in Silicon Valley and on highways.
Xpeng’s ambitious autonomy roadmap and internal challenge
The Silicon Valley visit also served as a benchmark for Xpeng’s own autonomy ambitions. He stated that Xpeng is looking to improve its VLA autonomous driving system to match the performance of Tesla’s FSD V14.2 within China by August 30, 2026. Xpeng is poised to release its VLA 2.0 smart driving software next quarter, though He cautioned that the initial version will not be able to match FSD V14.2’s capabilities, as noted in a CNEV Post report.
He also added a personal twist to the goal, publicly challenging Xpeng’s autonomous driving team. If the performance target is met by the 2026 deadline, the CEO stated that he will approve the creation of a Chinese-style cafeteria for Xpeng’s Silicon Valley team. If not, Liu Xianming, head of Xpeng’s autonomous driving unit, has pledged to run naked across the Golden Gate Bridge, He noted.
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Another Tesla Model 3 variant sold out for January 2026 in China
A look at Tesla China’s order page shows that new Model 3 LR RWD orders now have an estimated delivery date of February 2026.
Another Tesla Model 3 variant in China appears to have sold out for January 2026, with the vehicle now showing an estimated delivery date of February 2026 for new orders. This bodes well for the all-electric sedan, which has maintained notable sales despite more affordable rivals like the Xiaomi SU7 and its crossover sibling, the Model Y.
Model 3 LR RWD joins February 2026 queue
A look at Tesla China’s order page for the all-electric sedan shows that new Model 3 Long Range Rear Wheel Drive orders now have an estimated delivery date of February 2026. Priced from RMB 259,500 ($36,810), the LR RWD sits as the second-lowest-priced trim in Tesla China’s four-variant Model 3 lineup. The move follows a similar delivery timeframe for the Model 3 Performance, which remains the most expensive option for the vehicle, as noted in a CNEV Post report.
The estimated delivery dates of the two remaining Model 3 variants remain unchanged for now. The base RWD version, starting at RMB 235,500, and the LR AWD variant, priced from RMB 285,500, both continue to list estimated delivery times of 4-6 weeks. Tesla China, for its part, has continued to list in-stock Model 3 vehicles and is actively encouraging buyers to select inventory units for delivery before the end of the year.
Model Y delays and policy shifts
Delivery timelines for the Model Y in China are also stretching into 2026. All customized Model Y variants now show February 2026 as their estimated delivery date, except for the entry-level version, which still lists January 2026. Tesla has been urging customers since November to prioritize purchasing inventory vehicles, a push aimed at maximizing year-end deliveries.
Timing matters for Chinese buyers due to upcoming changes in government incentives. China’s new energy vehicle purchase tax exemption will be scaled back in 2026, which means customers who take delivery next year could face higher tax costs compared to those who are able to receive vehicles before the end of the year.
As per data from the China Passenger Car Association, Tesla recorded retail sales of 73,145 vehicles in November, down 0.47% year over year. From January through November, Tesla’s retail sales in China totaled 531,855 units, a 7.37% year-over-year drop.
Tesla Model Y Standard stuns in new range test, besting its Premium siblings
Xpeng CEO: Tesla FSD 14.2 has developed “near-Level 4” performance
