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 wins another award critics will absolutely despise
Tesla earned an overall score of 49 percent, up 6 percentage points from the previous year, widening its lead over second-place Ford (45 percent, up 2 points) to a commanding 4-percentage-point gap. The company also excelled in the Fossil Free & Environment category with a 50 percent score, reflecting strong progress in reducing emissions and decarbonizing operations.
Tesla just won another award that critics will absolutely despise, as it has been recognized once again as the company with the most sustainable supply chain.
Tesla has once again proven its critics wrong, securing the number one spot on the 2026 Lead the Charge Auto Supply Chain Leaderboard for the second consecutive year, Lead the Charge rankings show.
NEWS: Tesla ranked 1st on supply chain sustainability in the 2026 Lead the Charge auto/EV supply chain scorecard.
“@Tesla remains the top performing automaker of the Leaderboard for the second year running, and increased its overall score by 6 percentage points, while Ford only… pic.twitter.com/nAgGOIrGFS
— Sawyer Merritt (@SawyerMerritt) March 4, 2026
This independent ranking, produced by a coalition of environmental, human rights, and investor groups including the Sierra Club, Transport & Environment, and others, evaluates 18 major automakers on their efforts to build equitable, sustainable, and fossil-free supply chains for electric vehicles.
Tesla earned an overall score of 49 percent, up 6 percentage points from the previous year, widening its lead over second-place Ford (45 percent, up 2 points) to a commanding 4-percentage-point gap. The company also excelled in the Fossil Free & Environment category with a 50 percent score, reflecting strong progress in reducing emissions and decarbonizing operations.
Perhaps the most impressive achievement came in the batteries subsection, where Tesla posted a massive +20-point jump to reach 51 percent, becoming the first automaker ever to surpass 50 percent in this critical area.
Tesla achieved this milestone through transparency, fully disclosing Scope 3 emissions breakdowns for battery cell production and key materials like lithium, nickel, cobalt, and graphite.
The company also requires suppliers to conduct due diligence aligned with OECD guidelines on responsible sourcing, which it has mentioned in past Impact Reports.
While Tesla leads comfortably in climate and environmental performance, it scores 48 percent in human rights and responsible sourcing, slightly behind Ford’s 49 percent.
The company made notable gains in workers’ rights remedies, but has room to improve on issues like Indigenous Peoples’ rights.
Overall, the leaderboard highlights that a core group of leaders, Tesla, Ford, Volvo, Mercedes, and Volkswagen, are advancing twice as fast as their peers, proving that cleaner, more ethical EV supply chains are not just possible but already underway.
For Tesla detractors who claim EVs aren’t truly green or that the company cuts corners, this recognition from sustainability-focused NGOs delivers a powerful rebuttal.
Tesla’s vertical integration, direct supplier contracts, low-carbon material agreements (like its North American aluminum deal with emissions under 2kg CO₂e per kg), and raw materials reporting continue to set the industry standard.
As the world races toward electrification, Tesla isn’t just building cars; it’s building a more responsible future.
News
Tesla Full Self-Driving likely to expand to yet another Asian country
“We are aiming for implementation in 2026. [We are] doing everything in our power [to achieve this],” Richi Hashimoto, president of Tesla’s Japanese subsidiary, said.
Tesla Full Self-Driving is likely to expand to yet another Asian country, as one country seems primed for the suite to head to it for the first time.
The launch of Full Self-Driving in yet another country this year would be a major breakthrough for Tesla as it continues to expand the driver-assistance program across the world. Bureaucratic red tape has held up a lot of its efforts, but things are looking up in some regions.
Tesla is poised to transform Japan’s roads with Full Self-Driving (FSD) technology by 2026.
Richi Hashimoto, president of Tesla’s Japanese subsidiary, announced the ambitious timeline, building on successful employee test drives that began in 2025 and earned positive media reviews. Test drives, initially limited to the Model 3 since August 2025, expanded to the Model Y on March 5.
Once regulators approve, Over-the-Air (OTA) software updates could activate FSD across roughly 40,000 Teslas already on Japanese roads. Japan’s orderly traffic and strict safety culture make it an ideal testing ground for autonomous driving.
Hashimoto said:
“We are aiming for implementation in 2026. [We are] doing everything in our power [to achieve this].”
The push aligns with Hashimoto’s leadership, which has been credited for Tesla’s sales turnaround.
In 2025, Tesla delivered a record 10,600 vehicles in Japan — a nearly 90% jump from the prior year and the first time exceeding 10,000 units annually.
BREAKING 🇯🇵 FSD IS LIKELY LAUNCHING IN JAPAN IN 2026 🚨
Richi Hashimoto, President of Tesla’s Japanese subsidiary, stated: “We are aiming for implementation in 2026” and added that they are “doing everything in our power” to achieve this 🔥
Test drives in Japan began in August… pic.twitter.com/jkkrJLszXN
— Ming (@tslaming) March 5, 2026
The strategy shifted from online-only sales to adding 29 physical showrooms in high-traffic malls, plus staff training and attractive financing offers launched in January 2026. Tesla also plans to expand its Supercharger network to over 1,000 points by 2027, boosting accessibility.
This Japanese momentum reflects Tesla’s broader international expansion. In Europe, Giga Berlin produced more than 200,000 vehicles in 2025 despite a temporary halt, supplying over 30 markets with plans for sequential production growth in 2026 and battery cell manufacturing by 2027.
While regional EV sales faced headwinds, the factory remains a cornerstone for Model Y deliveries across the continent.
In Asia, Giga Shanghai continues to be recognized as Tesla’s powerhouse. China, the company’s largest market, saw January 2026 deliveries from the plant rise 9 percent year-over-year to 69,129 units, with affordable new models expected later this year.
FSD advancements, already progressing in the U.S. and South Korea, are slated for Europe and further Asian rollout, complementing plans to expand Cybercab and Optimus to new markets as well.
With OTA-enabled autonomy on the horizon and retail strategies paying dividends, Tesla is strengthening its footprint from Tokyo showrooms to Berlin assembly lines and Shanghai exports. As Hashimoto continues to push Tesla forward in Japan, the company’s global vision for sustainable, self-driving mobility gains traction across Europe and Asia.
News
Tesla ships out update that brings massive change to two big features
“This change only updates the name of certain features and text in your vehicle,” the company wrote in Release Notes for the update, “and does not change the way your features behave.”
Tesla has shipped out an update for its vehicles that was caused specifically by a California lawsuit that threatened the company’s ability to sell cars because of how it named its driver assistance suite.
Tesla shipped out Software Update 2026.2.9 starting last week; we received it already, and it only brings a few minor changes, mostly related to how things are referenced.
“This change only updates the name of certain features and text in your vehicle,” the company wrote in Release Notes for the update, “and does not change the way your features behave.”
The following changes came to Tesla vehicles in the update:
- Navigate on Autopilot has now been renamed to Navigate on Autosteer
- FSD Computer has been renamed to AI Computer
Tesla faced a 30-day sales suspension in California after the state’s Department of Motor Vehicles stated the company had to come into compliance regarding the marketing of its automated driving features.
The agency confirmed on February 18 that it had taken a “corrective action” to resolve the issue. That corrective action was renaming certain parts of its ADAS.
Tesla discontinued its standalone Autopilot offering in January and ramped up the marketing of Full Self-Driving Supervised. Tesla had said on X that the issue with naming “was a ‘consumer protection’ order about the use of the term ‘Autopilot’ in a case where not one single customer came forward to say there’s a problem.”
This was a “consumer protection” order about the use of the term “Autopilot” in a case where not one single customer came forward to say there’s a problem.
Sales in California will continue uninterrupted.
— Tesla North America (@tesla_na) December 17, 2025
It is now compliant with the wishes of the California DMV, and we’re all dealing with it now.
This was the first primary dispute over the terminology of Full Self-Driving, but it has undergone some scrutiny at the federal level, as some government officials have claimed the suite has “deceptive” names. Previous Transportation Secretary Pete Buttigieg was one of those federal-level employees who had an issue with the names “Autopilot” and “Full Self-Driving.”
Tesla sued the California DMV over the ruling last week.
Tesla wins another award critics will absolutely despise
Tesla Full Self-Driving likely to expand to yet another Asian country
