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Tesla files Parallel Processing patent to reduce FSD hardware error risks

Credit: Tesla

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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:

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“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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Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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SpaceX hid behind another name in the Arizona desert, and now it’s going big

SpaceX puts a $50 billion price on its Arizona supercompute campus ahead of December’s hearing.

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SpaceX has put a price tag on the supercomputer campus it wants to build in the southern Arizona desert. In a statement Thursday, the company said it is pursuing a roughly $50 billion supercompute campus in Cochise County, about 80 miles east of Tucson. Together with a separate facility planned at Starbase, Texas, the two projects add up to more than $74 billion in planned investment.

The Arizona figure had not been disclosed before. SpaceX’s involvement only became public on November 4, when company representatives hosted a packed town hall at Cochise Elementary School for an application filed under the name Tombstone Resources LLC. A SpaceX representative told residents the filing used another name because putting SpaceX on it “draws attention” from outside the county, local station KVOA reported.

The application describes a 747-acre site near the Willcox Playa with up to nine buildings of about 493,000 square feet each. SpaceX plans to bring the campus online in four phases of roughly 1.5 GW, reaching 6 GW at full build, backed by a 24 GWh battery system and about $3.6 billion in grid upgrades. At that size, it would draw about 2.5 times more power than every data center in Maricopa County combined, according to an Arizona Republic analysis.

SpaceX says the project will create about 5,500 construction jobs and 1,000 permanent jobs, and that it could cut electricity bills for members of the local cooperatives by up to 20 percent. The campus would use dry cooling with no industrial groundwater use. Its application estimates ongoing water needs of 7 to 10 acre-feet a year, roughly what 20 to 30 homes consume.

Power is the bigger question. The site sits next to the Apache Generating Station, a coal and natural gas plant with about 1 GW of capacity that had been slated to retire by 2028. SpaceX told residents its investment could expand the station to more than 6 GW.

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Local opposition is organized. A petition asking the county to deny the permit has gathered about 2,400 signatures, and the nearby playa is a landing spot for federally protected sandhill cranes, which SpaceX says its design accounts for. The Cochise County Planning and Zoning Commission will hold a public hearing on December 9 in Bisbee, with written comments due November 27. If approved, construction could start in March 2027.

The Texas project faces a vote the same day. The Starbase City Commission will consider a property tax abatement for SpaceX’s $24 billion gas plant and supercompute facility at its own December 9 hearing, as Teslarati reported. SpaceX said Thursday the Starbase site has already generated more than 3,000 construction jobs, and it committed $220 million to Brownsville’s water and wastewater systems, $40 million of which has been paid.

Both campuses would expand a footprint still centered on the Memphis area, where SpaceX’s Colossus data centers run largely on gas turbines and the company won a permit for a power plant in Southaven, Mississippi earlier this year. SpaceX ended the third quarter with 1.7 GW of nameplate compute. The Arizona campus alone, at full build, would be more than three times that size.

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Nvidia’s board meets on Jensen Huang, and Elon Musk already has an answer

Elon Musk says it would be an honor to hire Jensen Huang amid Nvidia turmoil.

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Elon Musk says he would welcome Jensen Huang at one of his companies if Nvidia’s board decides to push out its longtime chief executive.

On Wednesday evening, the financial account ZeroHedge posted “Elon please hire Jensen” on X. Musk replied roughly two hours later: “That would be an honor.” Neither Huang nor Nvidia had responded publicly as of Wednesday night.

Musk’s reply came as Nvidia’s board met to decide Huang’s future. The Wall Street Journal reported that directors were preparing to oust him following reports of two extramarital relationships. One involves Alice Huang, a Singapore-based businesswoman whom U.S. intelligence officials reportedly believe was working for China’s Ministry of State Security. The New York Times separately reported a relationship with Kimberly Powell, Nvidia’s vice president of health care. Huang acknowledged being unfaithful in a memo to employees on Sunday but gave no details.


Under Nvidia’s bylaws, a majority of its 11 directors can remove the CEO with or without cause. Bloomberg reported that the board has been working with an outside firm on possible replacements and may name an interim chief, with CFO Colette Kress seen as the likely pick. Nvidia shares fell more than 8 percent in extended trading, according to CNBC, and the company is scheduled to report quarterly earnings on November 17.

Musk has more riding on Nvidia’s leadership than most tech executives. In August, he told investors on SpaceX’s first earnings call as a public company that it would build its AI infrastructure exclusively on Nvidia hardware, calling Vera Rubin “the best architecture.” SpaceX is also working with Nvidia on the compute payload for Starmind, its planned orbital AI constellation. In October, SpaceX said it had a binding commitment for a roughly $40 billion lease of Vera Rubin GPUs and related equipment, with the leases expected to begin in the first half of 2027.

The scale of that dependence is already enormous. On its Q3 call, SpaceX said it was bringing roughly 200,000 to 220,000 Nvidia GB300 GPUs online each month and expects 2.5 to 3 GW of nameplate compute by the end of the year. That buildout is now reaching new sites like the proposed $24 billion power plant and supercomputer campus at Starbase.

The relationship between the two executives also goes back nearly a decade. Huang has often told the story of personally delivering Nvidia’s first DGX-1 AI supercomputer to Musk in 2016, when no other customer wanted one. “Nobody wanted to be part of it, except for Elon,” Huang said on the Joe Rogan Experience last December.

Musk did not say what role Huang might fill, and his reply stops short of a formal offer. Huang co-founded Nvidia in 1993 and still owns about 3.6 percent of its stock, so any move to a Musk company would depend on whether, and how, he leaves the chipmaker he has run for more than three decades.

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Starlink Mini 2 arrives with one feature for true off-grid connectivity

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Credit: SpaceX

SpaceX officially launched the Starlink Mini 2 on November 10, delivering the first portable Starlink terminal designed around independent power.

Invitation-only preorders for select U.S. customers are priced at $999 plus tax, a figure that includes a full year of Roam Unlimited service valued at roughly $2,100. A refundable $100 deposit reserves the kit, with the balance due at shipment, expected to begin in mid-December. Broader availability is listed as coming soon.

The headline feature is the quick-swap 71 Wh battery. Clipped to the rear of the dish without tools, it delivers up to 4.5 hours of connectivity on a single charge.

The 490-gram pack includes its own USB-C port and LED indicators, so users can charge a spare separately and swap it in seconds while staying online. Starlink notes that the terminal can continue operating while the battery charges or run directly from a 60 W USB-C source. The retail box includes one battery, a 60 W USB-C charger, and a 3-meter cable.

Beyond power, the Mini 2 is thinner at 23.1 mm (versus 38.5 mm on the original Mini) while measuring 263 × 314 mm. With the battery and kickstand attached it weighs 1.6 kg.

Built-in Wi-Fi 6 expands coverage to up to 1,800 square feet, an IP67 rating protects against dust and water, and a standard 1/4-20 tripod thread plus physical power button round out the design. Field of view remains 110 degrees, and the unit retains support for mobile use.

For travelers, campers, and remote workers, the swappable battery removes the longstanding requirement for an external power bank or vehicle outlet that defined the first Mini. Spare packs sold separately further extend runtime, turning the compact terminal into a more self-contained solution.

While the bundled $999 invitation price sits well above the original Mini’s current $149 starting point, the included year of service and genuine untethered operation mark a clear step forward in portable satellite internet.

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