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 gamifies Supercharging with new ‘Charging Passport’
It will also include things like badges for special charging spots, among other metrics that will show all of the different places people have traveled to plug in for range.
Tesla is gamifying its Supercharging experience by offering a new “Charging Passport,” hoping to add a new layer to the ownership experience.
While it is not part of the Holiday Update, it is rolling out around the same time and offers a handful of cool new features.
Tesla’s Charging Passport will be available within the smartphone app and will give a yearly summary of your charging experience, helping encapsulate your travel for that year.
It will also include things like badges for special charging spots, among other metrics that will show all of the different places people have traveled to plug in for range.
Tesla has just introduced “Charging Passport,” a new yearly summary of your charging.
• Charging badges: Iconic Charging badge (for visiting places like the Tesla Diner, Oasis Supercharger, etc), Explorer badge, green saver badge, etc.
• Total unique Superchargers visited
•… pic.twitter.com/c1DHTWXpj7— Sawyer Merritt (@SawyerMerritt) December 8, 2025
Tesla will include the following metrics within the new Charging Passport option within the Tesla app:
- Charging badges: Iconic charging badges for visiting places like the Tesla Diner, Oasis Supercharger, etc., Explorer Badge, and more
- Total Unique Superchargers Visited
- Total Charging Sessions
- Total Miles Added during Charging Sessions
- Top Charging Day
- Longest Trip
- Favorite Charging Locations
This will give people a unique way to see their travels throughout the year, and although it is not necessarily something that is needed or adds any genuine value, it is something that many owners will like to look back on. After all, things like Spotify Wrapped and Apple Music Replay have been a great way for people to see what music they listened to throughout the year.
This is essentially Tesla’s version of that.
With a handful of unique Superchargers already active, Tesla is also building some new ones, like a UFO-inspired location in New Mexico, near Roswell.
Tesla is building a new UFO-inspired Supercharger in the heart of Alien country
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Tesla launches its coolest gift idea ever just a few weeks after it was announced
“Gift one month of Full Self-Driving (Supervised), which allows the vehicle to drive itself almost anywhere with minimal intervention.”
Tesla has launched its coolest gift idea ever, just a few weeks after it was announced.
Tesla is now giving owners the opportunity to gift Full Self-Driving for one month to friends or family through a new gifting program that was suggested to the company last month.
The program will enable people to send a fellow Tesla owner one month of the company’s semi-autonomous driving software, helping them to experience the Full Self-Driving suite and potentially help Tesla gain them as a subscriber of the program, or even an outright purchase.
Tesla is going to allow owners to purchase an FSD Subscription for another owner for different month options
You’ll be able to gift FSD to someone! https://t.co/V29dhf5URj
— TESLARATI (@Teslarati) November 3, 2025
Tesla has officially launched the program on its Shop. Sending one month of Full Self-Driving costs $112:
“Gift one month of Full Self-Driving (Supervised), which allows the vehicle to drive itself almost anywhere with minimal intervention. All sales are final. Can only be purchased and redeemed in the U.S. This gift card is valued at $112.00 and is intended to cover the price of one month of FSD (Supervised), including up to 13% sales tax. It is not guaranteed to cover the full monthly price if pricing or tax rates change. This gift card can be stored in Tesla Wallet and redeemed toward FSD (Supervised) or any other Tesla product or service that accepts gift card payments.”
Tesla has done a great job of expanding Full Self-Driving access over the past few years, especially by offering things like the Subscription program, free trials through referrals, and now this gift card program.
Gifting Full Self-Driving is another iteration of Tesla’s “butts in seats” strategy, which is its belief that it can flip consumers to its vehicles and products by simply letting people experience them.
There is also a reason behind pushing Full Self-Driving so hard, and it has to do with CEO Elon Musk’s compensation package. One tranche requires Musk to achieve a certain number of active paid Full Self-Driving subscriptions.
More people who try the suite are likely to pay for it over the long term.
News
Tesla expands Robotaxi app access once again, this time on a global scale
Tesla said recently it plans to launch Robotaxi in Miami, Houston, Las Vegas, Phoenix, and Dallas.
Tesla has expanded Robotaxi app access once again, but this time, it’s on a much broader scale as the company is offering the opportunity for those outside of North America to download the app.
Tesla Robotaxi is the company’s early-stage ride-hailing platform that is active in Texas, California, and Arizona, with more expansion within the United States planned for the near future.
Tesla said recently it plans to launch Robotaxi in Miami, Houston, Las Vegas, Phoenix, and Dallas.
The platform has massive potential, and Tesla is leaning on it to be a major contributor to even more disruption in the passenger transportation industry. So far, it has driven over 550,000 miles in total, with the vast majority of this coming from the Bay Area and Austin.
First Look at Tesla’s Robotaxi App: features, design, and more
However, Tesla is focusing primarily on rapid expansion, but most of this is reliant on the company’s ability to gain regulatory permission to operate the platform in various regions. The expansion plans go well outside of the U.S., as the company expanded the ability to download the app to more regions this past weekend.
So far, these are the areas it is available to download in:
- Japan
- Thailand
- Hong Kong
- South Korea
- Australia
- Taiwan
- Macau
- New Zealand
- Mexico
- U.S.
- Canada
Right now, while Tesla is focusing primarily on expansion, it is also working on other goals that have to do with making it more widely available to customers who want to grab a ride from a driverless vehicle.
One of the biggest goals it has is to eliminate safety monitors from its vehicles, which it currently utilizes in Austin in the passenger’s seat and in the driver’s seat in the Bay Area.
A few weeks ago, Tesla started implementing a new in-cabin data-sharing system, which will help support teams assist riders without anyone in the front of the car.
Tesla takes a step towards removal of Robotaxi service’s safety drivers
As Robotaxi expands into more regions, Tesla stands to gain tremendously through the deployment of the Full Self-Driving suite for personal cars, as well as driverless Robotaxis for those who are just hailing rides.
Things have gone well for Tesla in the early stages of the Robotaxi program, but expansion will truly be the test of how things operate going forward. Navigating local traffic laws and gaining approval from a regulatory standpoint will be the biggest hurdle to jump.
Tesla gamifies Supercharging with new ‘Charging Passport’
Tesla launches its coolest gift idea ever just a few weeks after it was announced
