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
Elon Musk
Tesla Supercharger for Business exposes jaw-dropping ROI gap between best and worst locations
Tesla’s new Supercharger for Business calculator reveals an eye-opening all-in cost and location-based ROI projections.
Tesla has launched an online calculator for its Supercharger for Business program, giving property owners their first transparent look at what it really costs to install Superchargers on site and what kind of return they can expect.
The program itself launched in September 2025, allowing businesses to purchase and operate Supercharger hardware on their own property while Tesla handles installation, maintenance, software, and 24/7 driver support. As Teslarati reported at launch, hosts also get their logo placed on the chargers and their location integrated into Tesla’s in-car navigation, meaning drivers are actively routed there. The stalls are open to all EVs, not just Teslas.
We launched Supercharger for Business in 2025 to help companies get charging right. We found simplicity and transparency to be a problem in this industry.
We’re now sharing pricing and a financial calculator to help make informed decisions. The goal is to accelerate investments,…
— Tesla Charging (@TeslaCharging) April 8, 2026
The new online calculator, announced by Tesla on Wednesday with the note that “simplicity and transparency” have been a problem in the industry, lets any business enter a U.S. address and get a real cost and revenue model. A standard 8-stall V4 Supercharger site runs approximately $500,000 in hardware and $55,000 per post for installation, bringing an all-in price just shy of $1 million. Tesla charges a flat $0.10 per kWh fee to cover software, billing, and network operations. Businesses set their own retail price and keep the margin above that fee.
Taking a look at Tesla’s Supercharger for Business online calculator, we can see that ROI is not uniform, and the gap between a strong location and a poor one can stretch the breakeven point by several years.
The biggest driver is foot traffic and how long people stay. A busy rest station, hotel, or outlet mall brings in repeat visitors who need to charge while they’re already stopped, pushing utilization numbers higher and shortening payback time.
Tesla Supercharger for Business ROI calculator
Local electricity rates matter just as much on the cost side. Markets like California carry some of the highest commercial electricity rates in the country, which eats into the margin between what a host pays per kWh and what they charge drivers. At the same time, dense urban areas with high EV adoption tend to support higher retail charging prices, which can offset that cost if demand is strong enough. Weather also plays a role. Cold climates reduce battery efficiency and increase charging frequency, but they can also suppress utilization in winter months if drivers avoid stopping in exposed outdoor locations. Suburban and rural sites face a different problem: lower baseline EV traffic, which means a site with cheaper power and lower operating costs can still take longer to pay back simply because the stalls sit idle more often. Tesla’s calculator uses real fleet data to pre-fill utilization estimates by ZIP code, so businesses can run their specific address against these variables rather than relying on averages.
The program has seen real adoption. Wawa, already the largest host of Tesla Superchargers with over 2,100 stalls across 223 locations, opened its first fully owned and branded site in Alachua, Florida earlier this year. Francis Energy of Oklahoma and the city of Alpharetta, Georgia have also deployed branded stations through the program, as Teslarati covered in January.
Tesla now exceeds 80,000 Supercharger stalls worldwide, and the calculator makes the economic case for accelerating that number through private investment rather than company-owned sites alone.
News
Elon Musk drops a bomb regarding Tesla Model S, X inventory
After more than a decade on the road, the original flagship sedan and SUV platforms are effectively at the end of the line. Production of new Model S and Model X vehicles has ceased, and custom orders were quietly halted in early April. What remains are roughly a few hundred factory inventory units scattered across the globe, mostly Plaid variants, and they are disappearing fast.
Elon Musk just dropped a bomb regarding Tesla Model S and X inventory, and as the company is phasing out the flagship vehicles, it sounds like the time to purchase one brand new is almost over.
Musk confirmed on Wednesday that there are “only a few hundred Tesla Model S & X cars left in inventory. Order now if you want one.”
Tesla is running out of units rather quickly.
The message from Musk reads like a final call for two of the company’s most storied vehicles.
Only a few hundred Tesla Model S & X cars left in inventory. Order now if you want one.
— Elon Musk (@elonmusk) April 8, 2026
After more than a decade on the road, the original flagship sedan and SUV platforms are effectively at the end of the line. Production of new Model S and Model X vehicles has ceased, and custom orders were quietly halted in early April. What remains are roughly a few hundred factory inventory units scattered across the globe, mostly Plaid variants, and they are disappearing fast.
The news marks the close of a remarkable 14-year chapter. Launched in 2012, the Model S redefined the electric vehicle with blistering acceleration, over-the-air updates, and a luxury interior that embarrassed traditional sedans.
The Model X followed in 2015, turning heads with its Falcon-wing doors and seating for seven.
Together, the Model S and Model X proved EVs could be desirable halo cars, not just eco-friendly commuters. Their departure clears factory space at Tesla’s Fremont plant for something the mass production of the Optimus humanoid robot, which Musk believes will be the greatest contributor to the company’s value.
Musk has repeatedly signaled that Tesla’s future lies beyond passenger cars. Resources once devoted to low-volume flagships are shifting toward autonomy, Robotaxis, and AI hardware. Optimus, the company’s general-purpose robot, is expected to handle manufacturing, household chores, and eventually complex labor.
In the short term, the scarcity has already driven prices on remaining inventory up by about $15,000, turning the last Model S and X into instant collector’s items.
Tesla uses Model S and X ‘sentimental’ value to enforce massive pricing move
The announcement underscores Tesla’s relentless pivot. While the Model Y continues to hold strong sales, the legacy S and X represented an earlier era of pure performance luxury.
The future has been paved by Tesla and Musk’s focus on autonomy, at least in the United States. Customers continue to call for a large SUV, which might be on the way after a recent nudge from Musk on X.
However, whatever the future holds, it has been forged by Tesla’s two flagship vehicles.
Once these final cars are gone, the Model S and Model X will live on only in driveways, forums, and the rear-view mirror of automotive history.
News
Tesla Cybercab production ignites with 60 units spotted at Giga Texas
Designed exclusively for unsupervised Full Self-Driving, the Cybercab promises to deliver safe, affordable, on-demand mobility without human drivers. Early units with temporary controls allow engineers to refine hardware and software in controlled settings before full autonomous fleets hit the roads.
Tesla Cybercab production at Giga Texas seems to have ignited, as 60 units were spotted outside of the production facility on Wednesday, with speculation hinting the all-electric ride-hailing vehicle could be headed to the lineup sooner rather than later.
Interestingly, they were also spotted with steering wheels, which Tesla said the car would be void of.
Giga Texas observer and drone operator Joe Tegtmeyer shared on X a new post that revealed approximately 60 Cybercabs parked in two organized groups in the factory’s outbound lot—the largest concentration observed to date.
Happy 8 April (Wednesday) at Giga Texas, especially for those wanting an update on Cybercabs … I saw about 60 of them in two groups in the outbound lot today … the largest grouping yet!
Also, looks like at least some of these have white seats and most still have clearly… pic.twitter.com/mZbKH96bA7
— Joe Tegtmeyer 🚀 🤠🛸😎 (@JoeTegtmeyer) April 8, 2026
Tegtmeyer noted white seats inside several vehicles and clearly visible steering wheels on most. These are not yet the final steering-wheel-free production versions unveiled in 2024, but early units are likely undergoing validation testing for new features and real-world robotaxi operations across the country.
The timing could not be more symbolic. Tesla has consistently affirmed that mass manufacturing of the Cybercab would begin this month.
CEO Elon Musk has reiterated the April 2026 target multiple times, emphasizing that while initial output will be slow, following the classic S-curve of new-vehicle ramps, the Giga Texas line is being prepared to produce hundreds of units per week.
Tesla CEO Elon Musk outlines expectations for Cybercab production
The first Cybercab already rolled off the line in February, but April marks the official shift to volume production of this purpose-built, pedal- and steering-wheel-free autonomous vehicle.
These 60 Cybercabs signal far more than parked prototypes. They represent tangible proof that Tesla is executing on its ambitious robotaxi roadmap.
Designed exclusively for unsupervised Full Self-Driving, the Cybercab promises to deliver safe, affordable, on-demand mobility without human drivers. Early units with temporary controls allow engineers to refine hardware and software in controlled settings before full autonomous fleets hit the roads.
As production scales, Giga Texas, already home to Cybertruck production, will become the epicenter of Tesla’s autonomous revolution, targeting millions of vehicles annually in the years ahead.
For Tesla and its investors, this sighting underscores manufacturing excellence and timeline discipline. It counters skepticism about the company’s ability to deliver on next-generation vehicles amid a competitive autonomous landscape.
Broader implications are profound: lower transportation costs, reduced emissions, and safer roads as robotaxis proliferate. Musk’s vision of a future where Cybercabs operate 24/7, generating revenue for owners and riders alike, is now visibly underway.
With mass production officially ramping in April, today’s images are not just a snapshot of parked vehicles; they are the first frames of a mobility transformation. Tesla is not only meeting its commitments; it is accelerating toward an era where autonomy reshapes daily life. The Cybercab era has begun.
Tesla Supercharger for Business exposes jaw-dropping ROI gap between best and worst locations
Elon Musk drops a bomb regarding Tesla Model S, X inventory
