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
Tesla has launched a new solution to a rare but relevant Supercharger problem with a new Virtual Waitlist, a remedy that will solve sequencing confusion when there is a line to charge at one of the company’s locations.
Teslarati reported on what we called the Virtual Queue last month. In rare occurrences, there were physical altercations at Superchargers when someone might have cut in line to charge. Tesla started to develop some sort of system that would resolve this issue, and now it is finally rolling it out.
Tesla launches solution to end Supercharger fights once and for all
It will start with a Pilot Program, and Tesla is calling it the ‘Waitlist.’
Announced on May 11 on the official TeslaCharging X account, the pilot program is currently active at sites in Los Gatos, Mountain View, and San Francisco in California, as well as San Jose, CA, and the Bronx, NY (East Gun Hill Road). Drivers are encouraged to share feedback directly through the Tesla app to refine the system before a potential broader rollout.
We’re now testing a new waitlist feature at 5 Supercharger sites. Share feedback through the Tesla app to help us make it better.
– Los Gatos, CA – Los Gatos Boulevard
– Mountain View, CA – El Monte Avenue
– San Francisco, CA – Lombard Street
– San Jose, CA – Saratoga Avenue
-… pic.twitter.com/epTVzpJxgW— Tesla Charging (@TeslaCharging) May 11, 2026
Tesla released the video above to showcase the feature, which automatically joins the waitlist when your vehicle has the Supercharger with the wait as the destination in the navigation. There is also a notification that lets you know your place in line.
In this specific example, the video shows that the wait is less than five minutes, and that there are two cars ahead of the one in the video:
Credit: Tesla
Having a wait at a Supercharger is relatively rare, but it does happen. It is even more frequent now that there are more EVs allowed to use the Supercharger Network. Those non-Tesla EVs can also join the queue, as Tesla added in its social media release of the pilot program that they can join the waitlist using the Tesla app.
The release of this program should help alleviate the rare risk of incidents at Superchargers. Tesla will expand this program as it sees fit, and it gathers valuable data and reviews from users.
Investor's Corner
Tesla Optimus is already benefiting investors, top Wall Street firm says
Piper Sandler has updated its detailed valuation model for Tesla (NASDAQ: TSLA), concluding that at recent share prices around $400–$420, investors are essentially acquiring the company’s ambitious Optimus humanoid robot project at no extra cost.
Tesla Optimus is already benefiting investors from a fiscal standpoint, at least that is what Alexander Potter at Piper Sandler, a top Wall Street firm covering the company, says.
Piper Sandler has updated its detailed valuation model for Tesla (NASDAQ: TSLA), concluding that at recent share prices around $400–$420, investors are essentially acquiring the company’s ambitious Optimus humanoid robot project at no extra cost.
Analyst Alexander Potter, in the firm’s latest “Definitive Guide to Investing in Tesla,” built a comprehensive framework covering 17 separate product lines.
This granular approach values Tesla’s core businesses—including electric vehicles, energy storage, Full Self-Driving (FSD) software, in-house insurance, Supercharging network, and a standalone robotaxi operation—at approximately $400 per share, without assigning any value to Optimus or related inference-as-a-service opportunities.
“At $400/share, we think investors can buy Optimus for ‘free,’” Potter stated in the note. Piper Sandler maintained its Overweight rating on Tesla shares and a $500 price target, which implicitly attributes roughly $100 per share to the robot-related businesses— a figure the analyst views as potentially conservative.
The updated model incorporates elements often overlooked by other sell-side analysts, such as detailed forecasts for Tesla’s insurance operations, Supercharger revenue, and a distinct valuation for the robotaxi business separate from FSD software licensing. It also accounts for Tesla’s 2025 CEO compensation plan for the first time.
Potter acknowledged that his estimates for 2026 and 2027 fall below Wall Street consensus, citing factors like declining deliveries from certain discontinued models and reduced regulatory credit income.
However, he expressed limited concern, noting that traditional vehicle delivery metrics are expected to matter less over time as FSD subscriber growth and robotaxi deployment metrics gain prominence. On Optimus specifically, Potter suggested the humanoid robot program, combined with inference services, “arguably will be worth more than Tesla’s other businesses combined,” though the firm has not yet produced formal long-term forecasts for these segments.
Tesla shares have traded near the $400 range in recent sessions, reflecting ongoing investor focus on the company’s autonomous driving progress and expansion into robotics and AI. The Optimus project remains in early development stages, with Tesla aiming to deploy the robots initially for internal factory tasks before broader commercial applications.
This Piper Sandler analysis highlights the growing emphasis among some investors and analysts on Tesla’s long-term technology platform potential beyond its current automotive and energy businesses.
As with any forward-looking valuation, outcomes will depend on execution timelines, technological breakthroughs, regulatory approvals for autonomous systems, and market adoption of humanoid robotics—areas that carry significant uncertainty and execution risk.
The note underscores a common theme in Tesla coverage: differing views on how to quantify emerging high-growth opportunities like robotics within the company’s overall enterprise value. Investors are advised to consider their own risk tolerance and conduct thorough due diligence regarding these speculative elements.
News
Tesla Giga Texas buzzing as new Cybertruck appears to enter production
Additionally, the Cybercab manufacturing ramp-up is continuing amidst Tesla’s busy May, which includes a handful of things from an automotive perspective.
Tesla Giga Texas is buzzing with a lot of action, as it appears the new Cybertruck trim that was offered a few months back has entered production. Additionally, the Cybercab manufacturing ramp-up is continuing amidst Tesla’s busy May, which includes a handful of things from an automotive perspective.
Drone operator Joe Tegtmeyer captured striking footage over Giga Texas on the morning of May 11, 2026, revealing fresh batches of Cybertrucks that may mark the start of series production for the long-awaited $59,990 Dual Motor AWD variant.
Tesla launches new Cybertruck trim with more features than ever for a low price
The vehicles lined up in staging areas, and we got a great look at three of the units parked on the property:
Hard to say for sure, but production of the $59K AWD @Cybertruck may be just getting started here on this early and soggy morning at Giga Texas … this version is much harder to visually distinguish from the premium AWD versions, so I’ll come back on Wednesday and we’ll see if… pic.twitter.com/UX7yCQpgeC
— Joe Tegtmeyer 🚀 🤠🛸😎 (@JoeTegtmeyer) May 11, 2026
Tegtmeyer notes the difficulty in visually distinguishing this base AWD model from higher-trim versions, unlike the earlier Long-Range RWD that lacked a motorized tonneau cover.
Tesla launched the $59,990 Dual Motor AWD Cybertruck in late February 2026 with a brief introductory pricing window that closed by month’s end.
Initial U.S. delivery estimates of June 2026 quickly slipped to September–October and, for newer orders, as far as April 2027.
The move underscores robust consumer interest in a more accessible all-wheel-drive Cybertruck priced under $60,000 before incentives—positioning it as a volume play for Tesla’s electric pickup lineup while premium AWD and Cyberbeast variants continue to be sold as usual.
Meanwhile, Cybercab production at the same Austin facility shows steady, if deliberate, progress. Tegtmeyer’s latest flyover documented dozens of glossy production-spec Cybercabs parked in the outbound lot—consistent with Tesla’s early statements that initial output would remain modest before scaling later in 2026.
The purpose-built robotaxi, unveiled in 2024 and lacking a steering wheel or pedals, rolled its first unit off the line in February. Volume manufacturing began in April, with early examples already undergoing autonomous testing around the factory grounds.
Elon Musk has repeatedly emphasized that Cybercab and Semi production will start slowly before ramping “exponentially” toward year-end. The presence of multiple finished units signals Tesla’s Unboxed manufacturing process is maturing, even as the company balances Cybertruck output with autonomy milestones.
Recent drone imagery also shows ongoing construction for Optimus and test-track expansions, highlighting Giga Texas’s evolving role as Tesla’s hub for next-generation vehicles.
For Cybertruck buyers, the potential ramp of the $59K AWD offers hope of shorter waits and broader market access. For autonomy enthusiasts, the growing fleet of Cybercabs hints at robotaxi service trials on the horizon.
While official confirmation from Tesla remains pending, Tegtmeyer’s footage provides the clearest public signal yet that both programs are advancing in parallel at Giga Texas.
Tesla launches its solution to rare but relevant Supercharger problem
Tesla Optimus is already benefiting investors, top Wall Street firm says
