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 rolling out Robotaxi pilot in SF Bay Area this weekend: report
Similar to the Austin pilot, the Robotaxi rides will reportedly be a paid service.
Tesla is reportedly preparing to launch a Robotaxi pilot program in the Bay Area this weekend, with invites to a select number of customers reportedly being sent out as early as this Friday.
The update was shared in a report from Insider, which cited an internal memo from the electric vehicle maker.
New Robotaxi service launch
According to Insider, the Robotaxi service in the Bay Area is set to launch as soon as Friday. Thus, some Tesla owners in the area should receive invites to use the driverless ride-hailing service. Similar to the Austin pilot, the Robotaxi rides will reportedly be a paid service.
The publication noted that the Robotaxi service’s geofence in its Bay Area launch will be quite large, as it will include Marin, much of the East Bay, San Francisco, and San Jose. This is not surprising as California has long been saturated with Teslas, and it is home to several of the electric vehicle maker’s key facilities.
Unlike the Austin pilot, the Tesla Robotaxi service’s pilot in the Bay Area will use safety drivers seated in the driver’s seat. These drivers will be able to manually take over using the steering wheel and brakes as needed. As per a spokesperson from the California DMV, the agency recently met with Tesla but the company is yet to submit a formal application to operate fully driverless cars.
Tesla Robotaxi expansion
Interestingly enough, Tesla did tease the release of its Robotaxi service to the Bay Area in its second quarter earnings call. While discussing the service, Tesla VP of Autopilot/AI Software Ashok Elluswamy mentioned that the company will initially be rolling out Robotaxis with safety drivers in the San Francisco Bay Area. He did, however, also highlight that the electric vehicle maker is working hard to get government permission to release the service for consumers.
“The next thing to expand would be in the San Francisco Bay Area. We are working with the government to get approval here and, in the meanwhile, launch the service without the person in the driver seat just to expedite and while we wait for regulatory approval,” he stated.
News
Tesla is ready with a perfect counter to the end of US EV tax credits
Tesla executives have mentioned that these more affordable models would resemble the company’s current lineup.
The United States’ electric vehicle tax credit is coming to an end at the end of the third quarter. Tesla, the country’s leading electric vehicle maker, is ready to meet this challenge with a rather simple but clever counter.
Tesla executives outlined this strategy in the recently held Q2 2025 earnings call.
End of the US EV tax credit
While Elon Musk has always maintained that he prefers a market with no EV tax credit, he also emphasized that he supports the rollback of any incentives given to the oil and gas industry. The Trump administration has not done this so far, instead focusing on the expiration of the $7,500 EV tax credit at the end of the third quarter.
Tesla has been going all-in on encouraging customers to purchase their vehicles in Q3 to take advantage of lower prices. The company has also implemented a series of incentives across all its offerings, from the Cybertruck to the Model 3. This, however, is not all, as the company seems to be preparing a longer-term solution to the expiration of the EV tax credit.
Affordable variants
During the Q2 2025 earnings call, Vice President of Vehicle Engineering Lars Moray stated that Tesla really did start the production of more affordable models in June. Quality builds of these vehicles are being ramped this quarter, with the goal of optimizing production over the remaining months of the year. If Tesla is successful, these models will be available for everyone in Q4.
“We started production in June, and we’re ramping quality builds and things around the quarter. And given that we started in North America and our goal is to maximize production with a higher rate. So starting Q3, we’re going to keep pushing hard on our current models to avoid complexity… We’ll be ready with new, more affordable models available for everyone in Q4.,” Moravy stated.
These comments suggest that Tesla should be able to offer vehicles that are competitively priced even after the EV tax credit has been phased out. Interestingly enough, previous comments from Tesla executives have mentioned that these more affordable models would resemble the company’s current lineup. This suggests that the more affordable models may indeed be variations of the Model Y and Model 3, but offered at a lower price.
Elon Musk
Elon Musk reveals Tesla’s next Robotaxi expansion in more ways than one
Tesla Robotaxi is growing in more ways than one. Tesla wants to expand and hopes to reach half the U.S. population by the end of the year.
Tesla CEO Elon Musk revealed the company’s plans for its next expansion of the Robotaxi in terms of both the geofence in Austin and the platform overall, as it looks to move to new areas outside of Texas.
Tesla launched the Robotaxi platform last month on June 22, and has since expanded both the pool of users and the area that the driverless Model Y vehicles can travel within.
The first expansion of the geofence caught the attention of nearly everyone and became a huge headline as Tesla picked a very interesting shape for the new geofence, resembling male reproductive parts.
🚨 Elon Musk says Tesla’s Robotaxi geofence in Austin will get “even bigger and longer” in “a couple weeks or so” pic.twitter.com/0gLeKfURMi
— TESLARATI (@Teslarati) July 23, 2025
The next expansion will likely absolve this shape. Musk revealed last night that the new geofence will be “well in excess of what competitors are doing,” and it could happen “hopefully in a week or two.”
Musk’s full quote regarding the expansion of the geofence and the timing was:
“As some may have noted, we have already expanded our service area in Austin. It’s bigger and longer, and it’s going to get even bigger and longer. We are expecting to greatly increase the service area to well in excess of what competitors are doing, hopefully in a week or two.”
The expansion will not stop there, either. As Tesla has operated the Robotaxi platform in Austin for the past month, it has been working with regulators in other areas, like California, Arizona, Nevada, and Florida, to get the driverless ride-hailing system activated in more U.S. states.
Tesla confirmed that they are in talks with each of these states regarding the potential expansion of Robotaxi.
Musk added:
“As we get the approvals and prove out safety, we will be launching the autonomous ride-hailing across most of the country. I think we will probably have autonomous ride-hailing in probably half the population of the US by the end of the year.”
We know that Tesla and Musk have been prone to aggressive and sometimes outlandish timelines regarding self-driving technology specifically. Regulatory approvals could happen by the end of the year in several areas, and working on these large metros is the best way to reach half of the U.S. population.
Tesla said its expansion of the geofence in Austin is conservative and controlled due to its obsession with safety, even admitting at one point during the Earnings Call that they are being “paranoid.” Expanding the geofence is necessary, but Tesla realizes any significant mistake by Robotaxi could take it back to square one.
Tesla rolling out Robotaxi pilot in SF Bay Area this weekend: report
Tesla is ready with a perfect counter to the end of US EV tax credits
Elon Musk reveals Tesla’s next Robotaxi expansion in more ways than one
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