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 upgrades Model 3 and Model Y in China, hikes price for long-range sedan
Tesla’s long-range Model 3 now comes with a higher CLTC-rated range of 753 km (468 miles).
Tesla has rolled out a series of quiet upgrades to its Model 3 and Model Y in China, enhancing range and performance for long-range variants. The updates come with a price hike for the Model 3 Long Range All-Wheel Drive, which now costs RMB 285,500 (about $39,300), up RMB 10,000 ($1,400) from the previous price.
Model 3 gets acceleration boost, extended range
Tesla’s long-range Model 3 now comes with a higher CLTC-rated range of 753 km (468 miles), up from 713 km (443 miles), and a faster 0–100 km/h acceleration time of 3.8 seconds, down from 4.4 seconds. These changes suggest that Tesla has bundled the previously optional Acceleration Boost for the Model 3, once priced at RMB 14,100 ($1,968), as a standard feature.
Delivery wait times for the long-range Model 3 have also been shortened, from 3–5 weeks to just 1–3 weeks, as per CNEV Post. No changes were made to the entry-level RWD or Performance versions, which retain their RMB 235,500 and RMB 339,500 price points, respectively. Wait times for those trims also remain at 1–3 weeks and 8–10 weeks.
Model Y range increases, pricing holds steady
The Model Y Long Range has also seen its CLTC-rated range increase from 719 km (447 miles) to 750 km (466 miles), though its price remains unchanged at RMB 313,500 ($43,759). The model maintains a 0–100 km/h time of 4.3 seconds.
Tesla also updated delivery times for the Model Y lineup. The Long Range variant now shows a wait time of 1–3 weeks, an improvement from the previous 3–5 weeks. The entry-level RWD version maintained its starting price of RMB 263,500, though its delivery window is now shorter at 2–4 weeks.
Tesla continues to offer several purchase incentives in China, including an RMB 8,000 discount for select paint options, an RMB 8,000 insurance subsidy, and five years of interest-free financing for eligible variants.
News
Tesla China registrations hit 20.7k in final week of June, highest in Q2
The final week of June stands as the second-highest of 2025 and the best-performing week of the quarter.
Tesla China recorded 20,680 domestic insurance registrations during the week of June 23–29, marking its highest weekly total in the second quarter of 2025.
The figure represents a 49.3% increase from the previous week and a 46.7% improvement year-over-year, suggesting growing domestic momentum for the electric vehicle maker in Q2’s final weeks.
Q2 closes with a boost despite year-on-year dip
The strong week helped lift Tesla’s performance for the quarter, though Q2 totals remain down 4.6% quarter-over-quarter and 10.9% year-over-year, according to industry watchers. Despite these declines, the last week of June stands as the second-highest of 2025 and the best-performing week of the quarter.
As per industry watchers, Tesla China delivered 15,210 New Model Y units last week, the highest weekly tally since the vehicle’s launch. The Model 3 followed with 5,470 deliveries during the same period. Tesla’s full June and Q2 sales data for China are expected to be released by the China Passenger Car Association (CPCA) in the coming days.
Tesla China and minor Model 3 and Model Y updates
Tesla manufactures the Model 3 and Model Y at its Shanghai facility, which provides vehicles to both domestic and international markets. In May, the automaker reported 38,588 retail sales in China, down 30.1% year-over-year but up 34.3% from April. Exports from Shanghai totaled 23,074 units in May, a 32.9% improvement from the previous year but down 22.4% month-over-month, as noted in a CNEV Post report.
Earlier this week, Tesla introduced minor updates to the long-range versions of the Model 3 and Model Y in China. The refreshed Model 3 saw a modest price increase, while pricing for the updated Model Y Long Range variant remained unchanged. These adjustments come as Tesla continues refining its China lineup amid shifting local demand and increased competition from domestic brands.
Elon Musk
Tesla investors will be shocked by Jim Cramer’s latest assessment
Jim Cramer is now speaking positively about Tesla, especially in terms of its Robotaxi performance and its perception as a company.
Tesla investors will be shocked by analyst Jim Cramer’s latest assessment of the company.
When it comes to Tesla analysts, many of them are consistent. The bulls usually stay the bulls, and the bears usually stay the bears. The notable analysts on each side are Dan Ives and Adam Jonas for the bulls, and Gordon Johnson for the bears.
Jim Cramer is one analyst who does not necessarily fit this mold. Cramer, who hosts CNBC’s Mad Money, has switched his opinion on Tesla stock (NASDAQ: TSLA) many times.
He has been bullish, like he was when he said the stock was a “sleeping giant” two years ago, and he has been bearish, like he was when he said there was “nothing magnificent” about the company just a few months ago.
Now, he is back to being a bull.
Cramer’s comments were related to two key points: how NVIDIA CEO Jensen Huang describes Tesla after working closely with the Company through their transactions, and how it is not a car company, as well as the recent launch of the Robotaxi fleet.
Jensen Huang’s Tesla Narrative
Cramer says that the narrative on quarterly and annual deliveries is overblown, and those who continue to worry about Tesla’s performance on that metric are misled.
“It’s not a car company,” he said.
He went on to say that people like Huang speak highly of Tesla, and that should be enough to deter any true skepticism:
“I believe what Musk says cause Musk is working with Jensen and Jensen’s telling me what’s happening on the other side is pretty amazing.”
Tesla self-driving development gets huge compliment from NVIDIA CEO
Robotaxi Launch
Many media outlets are being extremely negative regarding the early rollout of Tesla’s Robotaxi platform in Austin, Texas.
There have been a handful of small issues, but nothing significant. Cramer says that humans make mistakes in vehicles too, yet, when Tesla’s test phase of the Robotaxi does it, it’s front page news and needs to be magnified.
He said:
“Look, I mean, drivers make mistakes all the time. Why should we hold Tesla to a standard where there can be no mistakes?”
It’s refreshing to hear Cramer speak logically about the Robotaxi fleet, as Tesla has taken every measure to ensure there are no mishaps. There are safety monitors in the passenger seat, and the area of travel is limited, confined to a small number of people.
Tesla is still improving and hopes to remove teleoperators and safety monitors slowly, as CEO Elon Musk said more freedom could be granted within one or two months.
Tesla upgrades Model 3 and Model Y in China, hikes price for long-range sedan
Tesla China registrations hit 20.7k in final week of June, highest in Q2
Tesla investors will be shocked by Jim Cramer’s latest assessment
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