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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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
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Tesla Cybercab ramps Robotaxi public street testing as vehicle enters mass production queue
Recent sightings on public roads and growing fleet activity at Giga Texas signal Tesla’s accelerating push toward the Cybercab’s commercial launch.
Tesla Cybercab is being spotted with increasing frequency both on public roads and across the grounds of Gigafactory Texas, suggesting that the company’s road testing and validation program is ramping meaningfully ahead of mass production.
A total of 25 Cybercab units were recently observed across three separate locations at Giga Texas by drone observer Joe Tegtmeyer — with 14 metallic gold units parked in a tight formation outside the factory exit, nine more at the crash testing facility undergoing structural and safety validations, and two additional units at the west end-of-line area for final checks.
The activity on public roads is just as telling. The Cybercab was spotted testing on public roads for the first time last October, near Tesla’s Engineering Headquarters in Los Altos, California, marking a significant development in the vehicle’s progression toward commercial readiness. As expected at that early stage, a safety driver was present in the seat.
Since then, sightings have only become more frequent. Community observers on X have posted fresh footage of Cybercabs navigating public streets in Silicon Valley, with each new clip adding to a growing body of evidence that Tesla’s validation efforts are well underway. The production backdrop supports the momentum. Tesla’s production line at Giga Texas moved into a higher volume early in March, representing what observers are calling the largest single-day grouping of Cybercabs seen to date.
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- Tesla Cybercab spotted in San Jose, CA testing on public roads with Robotaxi validation equipment [Credit: Nic Cruz Patane via X]
![Tesla Cybercab spotted testing on public roads in Los Gatos, CA - March 10, 2026 [Credit: Osmad Sarood via X]](https://www.teslarati.com/wp-content/uploads/2026/03/tesla-cybercab-public-road-testing-823x1024.jpg)
Tesla Cybercab spotted testing on public roads in Los Gatos, CA – March 10, 2026 [Credit: Osman Sarood via X]
Tesla ramps Cybercab test manufacturing ahead of mass production
Musk has also stated that Tesla is aiming for at least 2 million Cybercab units per year across more than one factory, with a potential ceiling of 4 million annually.
With testing activity on public roads accelerating and factory output visibly increasing week over week, the coming months at Giga Texas are set to be pivotal in determining how quickly Tesla can bring the Cybercab from validation to volume.
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Tesla opens Supercharging Network to other EVs in new country
Tesla’s Supercharging infrastructure is the most robust in the world, and it has done a wonderful job of keeping things up and running for the millions of owners out there. As it expanded access to non-Tesla EVs a couple years back, it has still managed to keep things pretty steady, although the need for more charging is apparent.
Tesla has started opening its Supercharging Network, which is the most expansive in the world, to other EVs in a new country for the first time.
After expanding its Supercharging offerings to other car companies in the United States a few years ago, Tesla is still making the move in other markets, as it aims to make EV ownership easier for everyone, regardless of what manufacturer a consumer chose to purchase from.
Tesla’s Supercharging infrastructure is the most robust in the world, and it has done a wonderful job of keeping things up and running for the millions of owners out there. As it expanded access to non-Tesla EVs a couple years back, it has still managed to keep things pretty steady, although the need for more charging is apparent.
Tesla just added a cool new feature for leaving your charger at home or even leaving the Supercharger pic.twitter.com/iw0SDrWuX6
— TESLARATI (@Teslarati) March 10, 2026
Now, Tesla is expanding access to the Supercharger Network to non-Tesla EVs in Malaysia. The automaker just opened up a charging stie at the Pavilion KL Mall in Kuala Lumpur to non-Tesla owners, giving them eight additional Superchargers to utilize with a charging speed of up to 250 kW.
Tesla is also opening up the four-Supercharger site in Shah Alam, a four-Supercharger site at the IOI City Mall, and a six-Supercharger site in Gamuda Cove Township.
Electrive first reported the opening of these Superchargers in Malaysia.
The initiative from Tesla helps make EV ownership much simpler for those who only have access to third-party charging solutions or at-home charging. While at-home charging is the most advantageous, it is not an end-all solution as every driver will eventually need to grab some range on the road.
Tesla has been offering its Superchargers to non-Tesla EVs in the United States since 2024, as Ford became the first company to gain access to the massive network early that year when CEO Elon Musk and Ford frontman Jim Farley announced it together. Since then, Tesla has offered its chargers to nearly every EV maker, as companies like Rivian and Lucid, and even legacy car companies like General Motors have gained access.
It’s best for everyone to have the ability to use Tesla Superchargers, but there are of course some growing pains.
Charging cables are built to cater to Tesla owners, so pull-in Superchargers are most advantageous for non-Tesla EVs currently, but the company’s V4 Superchargers, which are not as plentiful in the U.S. quite yet, do enable easier reach for those vehicles.
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Tesla Semi expands pilot program to Texas logistics firm: here’s what they said
Mone said the Tesla Semi it put into its fleet for this test recorded 1.64 kWh per mile efficiency, beating Tesla’s official 1.7 kWh per mile target and delivering a massive leap over conventional diesel trucks.
Tesla has expanded its Semi pilot program to a new region, as it has made it to Texas to be tested by logistics from Mone Transport. With the Semi entering production this year, Tesla is getting even more valuable data regarding the vehicle and its efficiency, which will help companies cut expenditures.
Mone Transport operates in Texas and on the Southern border, and it specializes in cross-border U.S.-Mexico freight operations. After completing some rigorous testing, Mone shared public results, which stand out when compared to efficiency metrics offered by diesel vehicles.
“Mone Transport recently had the opportunity to put the Tesla Semi to the test, and we’re thrilled with the results! Over 4,700 miles of operations at 1.64 kWh/mile in our Texas operation. We’re committed to providing zero-emission transportation to our customers!” the company said in a post on X.
🚨 Mone Transport just recorded an extremely impressive Tesla Semi test:
1.64 kWh per mile over 4,700 miles! https://t.co/xwS2dDeomP pic.twitter.com/oLZHoQgXsu
— TESLARATI (@Teslarati) March 10, 2026
Mone said the Tesla Semi it put into its fleet for this test recorded 1.64 kWh per mile efficiency, beating Tesla’s official 1.7 kWh per mile target and delivering a massive leap over conventional diesel trucks.
Comparable Class 8 diesel semis, typically achieving 6-7 miles per gallon, consume roughly 5.5 kWh per mile in energy-equivalent terms, meaning the Semi uses three to four times less energy while also producing zero tailpipe emissions.
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The performance of the Tesla Semi in Mone Transport’s testing aligns with data from other participants in the pilot program. ArcBest’s ABF Freight Division logged 4,494 miles over three weeks in 2025, averaging 1.55 kWh per mile across varied routes, including a grueling 7,200-foot Donner Pass climb. The truck “generally matched the performance of its diesel counterparts,” the carrier said.
PepsiCo, which operates the largest known Semi fleet, recorded 1.7 kWh per mile in North American Council for Freight Efficiency testing. Additional pilots showed similar gains: DHL hit 1.72 kWh per mile, and Saia achieved 1.73 kWh per mile.
These metrics underscore the Semi’s ability to slash operating costs through superior efficiency, lower maintenance, and zero-emission operation. As charging infrastructure scales and production ramps toward 2026 targets, participants like Mone Transport are proving electric semis can seamlessly integrate into freight networks, accelerating the industry’s shift to sustainable, high-performance trucking.
Tesla continues to prep for a more widespread presence of the Semi in the coming months as it recently launched the first public Semi Megacharger site in Los Angeles. It is working on building out infrastructure for regional runs on the West Coast initially, with plans to expand this to the other end of the country in the coming years.
Tesla Cybercab ramps Robotaxi public street testing as vehicle enters mass production queue
Tesla opens Supercharging Network to other EVs in new country
