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Tesla’s Neural Network adaptability to hardware highlighted in new patent application

(Credit: Tesla Driver/YouTube)

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Tesla’s developments in the artificial intelligence arena are one of the most important aspects of its current and future technology, and this includes adapting neural networks to various hardware platforms. A recent patent publication titled “System and Method for Adapting a Neural Network Model On a Hardware Platform” provides a bit of insight into how the electric car maker is taking on the challenge.

In general, a neural network is a set of algorithms designed to gather data and recognize patterns from it. The particular data being collected depends on the platform involved and what kind of information it can send to the network, i.e., cameras/image data, etc. Differences between platforms mean differences in the neural network algorithms, and adapting them is something time consuming for developers. Just as apps have to be programmed to work based on the operating system or hardware on a phone or tablet, for example, so too do neural networks. Tesla’s answer to the adaptation issue is automation (of course).

During the adaptation process of a neural network to specific hardware, decisions must be made by a software developer based on available options built into the hardware being used. Each of these options, in turn, usually requires research, hardware documentation review, and impact analysis, with each set of options chosen, eventually adding up to a configuration for the neural network to use. Tesla’s application calls these options “decision points,” and they are a vital part of how their invention functions.

Credit: Tesla/USPTO

According to the application, after plugging in a neural network model and the specific hardware platform information for adaptation, software code traverses the network to learn where the decision points are, then runs the hardware parameters against those points to provide available configurations. More specifically, the software method looks at the hardware constraints (such as processing resources and performance metrics) and generates setups for the neural network that will satisfy the requirements for it to operate correctly. From the application:

In order to produce a concrete implementation of an abstract neural network, a number of implementation decisions about one or more of system’s data layout, numerical precision, algorithm selection, data padding, accelerator use, stride, and more may be made. These decisions may be made on a per-layer or per-tensor basis, so there can potentially be hundreds of decisions, or more, to make for a particular network. Embodiments of the invention take many factors into account before implementing the neural network because many configurations are not supported by underlying software or hardware platforms, and such configurations will result in an inoperable implementation.

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Credit: Tesla/USPTO

Tesla’s invention also provides the ability to display the neural network configuration information on a graphical interface to make assessment and selection a bit more user friendly. For instance, different configurations could have different evaluation times, power consumption, or memory consumption. Perhaps an analogy for this process would be selecting configurations based on differences between Track Mode and Range Mode but instead for how you’d want your AI to work with your hardware.

This patent application looks to be one of the products of Tesla’s reported acquisition of DeepScale, an AI startup focused on Full Self Driving and designing neural networks for small devices. The listed inventor, Dr. Michael Driscoll, was a Senior Staff Engineer for DeepScale before transitioning to a Senior Software Engineer position at Tesla. Prior CEO of DeepScale, Dr. Forrest Iandola, also transitioned to Tesla as a Senior Staff Machine Learning Scientist before moving on to independent research this year.

Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Tesla Model X shocks everyone by crushing every other used car in America

The Model X is one of Tesla’s flagship models, the other being the Model S. Earlier this year, Tesla confirmed it would discontinue production of both the Model S and Model X to make way for Optimus robot production at the Fremont Factory in Northern California.

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Credit: Tesla Asia | X

The Tesla Model X was the fastest-selling used vehicle in the United States in the first quarter of the year, crushing every other used car in America.

iSeeCars data for the first quarter shows that the Model X was the fastest-selling used car, lasting just 25.6 days on the market on average, two days better than that of the second-place Lexus RX 350h. The Cybertruck, Model Y, and Model S, in seventh, ninth, and thirteenth place, respectively, also made the list.

The Model X is one of Tesla’s flagship models, the other being the Model S. Earlier this year, Tesla confirmed it would discontinue production of both the Model S and Model X to make way for Optimus robot production at the Fremont Factory in Northern California.

Tesla brings closure to flagship ‘sentimental’ models, Musk confirms

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Bringing closure to these two vehicles signaled the end of the road for the cars that have effectively built Tesla’s reputation for luxury and high-end passenger vehicles.

Relying on the sales of its mass market Model Y and Model 3, as well as leaning on the success of future products like the Cybercab, is the angle Tesla has chosen to take.

Teslas are also performing extremely well as a whole on the resale market. iSeeCars data shows that, “while the average price of a 1- to 5-year-old non-Tesla EV fell 10.3% in Q1 2026 year-over-year, the average price of a used Tesla was essentially flat at 0.1% lower across the same period. Traditional gas car prices dropped 2.8% during this same period.”

Additionally, market share for gas cars has dropped nearly 3 percent since the same quarter last year. Tesla has remained level, while the non-Tesla EV market share has increased 30 percent, mostly due to more models available.

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Nevertheless, those non-Tesla EVs have seen their value drop by over 10 percent, while Tesla’s values have remained level.

Executive Analyst Karl Brauer said:

“Used electric vehicles without a Tesla badge have lost more than 10% of their value in the past year. This compares to stable values for Teslas and hybrids, and a modest 2.8% drop for traditional gasoline vehicles.”

Teslas, as well as non-luxury hybrids, are displaying the strongest resistance in the face of faltering demand, the publication says. But the more impressive performance is that of the Model X alone.

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Tesla’s decision to stop production of the Model X may have played some part in the vehicle’s pristine performance in Q1. With the car already placed at a premium price point, used models are already more appealing to consumers. Perhaps second-hand versions were more than enough for those who wanted a Model X, and only a Model X.

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Tesla Cybertruck’s head-scratching trim sold terribly, recall documents reveal

The head-scratching offering was only available for a few months, and evidently, it did not sell very well, which we all suspected. New recall documents on the vehicle from the National Highway Traffic Safety Administration (NHTSA) now reveal just how poorly it sold.

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Credit: Tesla

After Tesla decided to build a Rear-Wheel-Drive Cybertruck trim back in 2025, which was void of many features and only featured a small discount.

The head-scratching offering was only available for a few months, and evidently, it did not sell very well, which we all suspected. New recall documents on the vehicle from the National Highway Traffic Safety Administration (NHTSA) now reveal just how poorly it sold.

The recall deals with a potentially separating wheel stud and potentially impacts 173 Cybertruck units with the 18-inch steel wheels. The Cybertruck RWD was the only trim level to feature these, and the 173 potentially impacted units represent a portion of the population of pickups. Therefore, it’s not the entire number of RWD Cybertruck sold, but it could show how little interest it gathered.

The NHTSA document states:

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“On affected vehicles, higher severity road perturbations and cornering may strain the stud hole in the wheel rotor, causing cracks to form. If cracking propagates with continued use and strain, the wheel stud could eventually separate from the wheel hub.”

Only 5 percent are expected to be impacted, meaning less than 10 units will have the issue if the NHTSA and Tesla estimates are correct. Nevertheless, the true story here is how terribly the RWD Cybertruck sold.

Tesla ended production and stopped offering the RWD Cybertruck to customers last September. For just $10,000 less than the All-Wheel-Drive trim, Tesla offered the RWD Cybertruck with just one motor, textile seats instead of leather, only 7 speakers instead of 15, no Rear Touchscreen, no Powered Tonneau Cover for the truck bed, and no 120v/240v outlets.

Tesla brings closure to head-scratching Cybertruck trim

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For just $10,000 more, at $79,990, owners could have received all of those premium features, as well as a more capable All-Wheel-Drive powertrain that featured Adaptive Air Suspension. The discount simply was not worth the sacrifices.

Orders were few and far between, and sources told us that when it was offered, sales were extremely tempered because customers could not see the value in this trim level.

Even Tesla’s most loyal supporters thought the offering was kind of a joke, and the $10,000 extra was simply worth it.

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Cybertruck RWD Recall by Joey Klender

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Tesla Semi sends clear message to Diesel rivals with latest move

The truck is being built at a dedicated facility in Sparks, Nevada, just next to its Gigafactory Nevada facility.

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Credit: Tesla

Tesla has officially launched Semi production at what will be a mind-boggling rate of approximately 50,000 units per year.

The truck is being built at a dedicated facility in Sparks, Nevada, just next to its Gigafactory Nevada facility.

The company finally announced on April 29 that the first Tesla Semi truck has rolled off its new high-volume production line at the factory. This marks the transition from limited pilot builds to scaled manufacturing for the Class 8 all-electric heavy-duty truck, nearly nine years after its dramatic 2017 unveiling.

Tesla initially promised high-volume deliveries by 2019–2020, but battery supply constraints and prioritization for passenger vehicles delayed progress. The new 1.7-million-square-foot factory, purpose-built next to Gigafactory Nevada’s 4680 cell production lines, resolves those bottlenecks through deep vertical integration.

The Semi uses Tesla’s structural battery packs with cylindrical 4680 cells manufactured on-site. This integration enables efficient supply, reduced logistics costs, and the potential for high output. The factory is designed for an eventual annual capacity of approximately 50,000 trucks, positioning Tesla to address growing demand in long-haul freight electrification.

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Tesla is using a redesigned Cybertruck battery cell to mitigate Semi challenges

Operating economics favor the Semi through dramatically lower fuel and maintenance costs compared to traditional diesel rigs, and companies involved in a pilot program for the Semi with Tesla have shown that.

Electricity is far cheaper than diesel on a per-mile basis, while the electric powertrain features fewer moving parts, reducing service intervals and lifetime expenses. Early deployments with customers like PepsiCo and others have validated these advantages in real-world service.

The Nevada factory’s ramp-up is targeted for full volume output before the end of June 2026, aligning with broader Tesla production goals for 2026. This includes parallel efforts on other new vehicles while expanding the Megacharger infrastructure to support widespread adoption.

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By localizing battery and truck production, Tesla gains advantages in cost, quality control, and scalability that many competitors sourcing cells externally lack. The start of high-volume Semi production represents a pivotal step in Tesla’s strategy to electrify heavy transportation, potentially accelerating the shift toward zero-emission freight across North America and beyond.

As output increases, the Semi could reshape long-haul logistics with its combination of performance, efficiency, and sustainability.

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