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Tesla’s Neural Network adaptability to hardware highlighted in new patent application
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.
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.”
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.
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Tesla is overhauling its Full Self-Driving subscription for easier access
The subscription model is more accessible to many owners, as it is reasonably priced and offers the option to take a month off from using it if they are interested in saving money.
Tesla is overhauling its Full Self-Driving subscription and how it markets it to customers after several owners and fans of the company complained about the accessibility of the monthly access to its driver assistance suite.
Tesla Full Self-Driving is the automaker’s semi-autonomous driving suite, which is widely regarded as the most robust and capable on the market today. Owners can purchase the suite outright for $8,000, or they can subscribe to the program for $99 per month, an option it enabled a few years ago.
However, it is not super easy to subscribe to the subscription model, nor is it even recognized on the company’s Online Design Studio. Without some research or prior knowledge, a consumer might not even know they could pay monthly to experience Full Self-Driving.
That is set to change, according to Tesla’s AI/IT Infrastructure, Cybersecurity, IT Apps, and Vehicle Service head Raj Jegannathan, who said the company is planning to change that.
Instead of having customers only have the option to pay outright for the suite, Tesla is now planning to offer the subscription model in its Online Design Studio, making it easier to activate that option:
Yes, will optimize the design to offer both full purchase, subscriptions(with free trial) on the configurator.
— Raj Jegannathan (@r_jegaa) August 24, 2025
It will be the second major change Tesla makes to how it sells Full Self-Driving to customers, the first being videos of real-life operation of FSD in the Design Studio. Previously, the site only showed animations of Full Self-Driving’s capabilities.
Tesla added the videos of FSD handling some tricky situations, as well as general operation of the suite, to the Design Studio in recent weeks.
Tesla makes big change to encourage Full Self-Driving purchases
The subscription model is more accessible to many owners, as it is reasonably priced and offers the option to take a month off from using it if they are interested in saving money.
Many cannot justify paying for the suite outright, especially as it adds $8,000 to the cost of their car. After they experience its capabilities for themselves, they might.
Both moves appear to be an effort to increase the take rate of Full Self-Driving, particularly as autonomy takes center stage at Tesla.
With the rollout of Robotaxi and some teased capabilities of the upcoming v14 iteration of Full Self-Driving, Tesla is gearing up to continue advancing its self-driving technology.
Tesla (NASDAQ: TSLA) recently talked about a variety of topics with Wall Street firm Piper Sandler, as the firm released a new note on Friday about their meeting with the company’s Investor Relations team.
According to the note from Piper Sandler, Tesla talked in detail about the Semi program, Optimus, and its potential valuation given its capabilities, the rollout of Robotaxi in Austin, and Full Self-Driving progress in the United States.
Tesla Semi Ramp
The Tesla Semi is set to enter mass production in 2026 at a dedicated factory near the company’s Gigafactory in Reno, Nevada.
The Semi has already been in pilot program testing, as Tesla has partnered with a few companies, like Frito-Lay and PepsiCo., to perform regional logistics. It has been met with excellent reviews from drivers, and it has helped give Tesla a good idea of what to expect when it makes its way to more companies in the coming years.
Piper Sandler said that it is evident Tesla is preparing for a “major ramp,” but it is keeping its expectations low:
“We’ve never expected much from this product, but we’d love to be proven wrong (Tesla is clearly prepping for a major ramp).”
Tesla Optimus and its value internally and externally
Optimus has been working in Tesla factories for some time, but its expectations as a product offering outside of the company internally have major implications.
Its role within Tesla factories, for now, is relatively low, but Optimus is still doing things to assist. By this time next year, Piper Sandler said Optimus should have bigger responsibilities:
“By this time in 2026, Optimus should be moving/staging parts within Tesla’s facilities.”
Outside of Tesla, Optimus could be a major beneficiary for companies as it could be a more affordable way to handle tedious tasks and manual labor. The firm believes that if Optimus can work 18-hour shifts, a cost of $100,000 per unit “would be justified.”
Tesla Robotaxi Expansion
The big focus of the firm with Robotaxi was Tesla’s expansion of the geofence in Austin this week. It was substantial, bringing the Robotaxi’s total service area to around 170 square miles, up from the roughly 90 square miles that rival Waymo is offering in the city.
Tesla Robotaxi geofence expansion enters Plaid Mode and includes a surprise
Tesla has doubled its geofence three times since its launch in late June, and it also revealed that its fleet of vehicles has expanded by 50 percent. It did not give a solid number of how many vehicles are operating in the fleet.
Tesla Full Self-Driving v14 launch
Tesla’s Full Self-Driving suite is set to have a fresh version, v14, rolled out in either September or October, and there are some pretty high expectations for it.
CEO Elon Musk said:
“The FSD release in about 6 weeks will be a dramatic gain with a 10X higher parameter count and many other improvements. It’s going through training & testing now. Once we confirm real-world safety of FSD 14, which we think will be amazing, the car will nag you much less.”
There is also some expectation that v14 could be the public release of what Tesla is running in Austin for Robotaxi. The firm confirmed this in their note by stating it “should enable Tesla owners to use software that is on par with Robotaxis in Austin.”
The only real hold up would be regulator skepticism, but Tesla can alleviate this with strong data.
The firm maintained its ‘Overweight’ rating and the $400 price target it holds on the stock.
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Tesla starts Full Self-Driving rollout to owners in Australia
“To have this car drive me around Brisbane for an hour, we’re talking in the city, motorway, spaghetti bowl of on-ramps, it handled it so well. It was mind-blowing.”
Tesla has already started rolling out its Full Self-Driving suite to owners in Australia after officially launching the driver assistance suite in the country yesterday.
Earlier this week, Tesla seemed to be moving toward the launch of Full Self-Driving (Supervised) in Australia after numerous media members received early access to test its performance.
Tesla officially launched Full Self-Driving (Supervised) in Australia yesterday. The company told media members who got early access to the suite that the rollout would begin with Hardware 4-equipped Model 3 and Model Y vehicles.
The release would be slow and gradual, with the process performed in stages.
The first stage of the rollout has already begun in Australia:
🚨 The first wave of Tesla Full Self-Driving is rolling out to owners in Australia
It’s here 🇦🇺 https://t.co/BQH8axjs0g pic.twitter.com/qsQUcG6lRx
— TESLARATI (@Teslarati) August 29, 2025
Tesla is reminding drivers in Australia who are using the suite for the first time that they must not become complacent while FSD is in operation. It is not fully autonomous and still requires the driver to remain attentive to road conditions and the vehicle’s surroundings.
Currently, the suite is only available to purchase outright, and it comes at a cost of $10,100. A subscription model is in the works, similar to the one in the United States, but Tesla has not yet announced its plans or pricing model for this.
Australia is the sixth country to receive Full Self-Driving (Supervised), or at least some version of it, as the United States, Canada, Mexico, China, and Puerto Rico all have access to the suite currently. In China, it is slightly different and is referred to as “City Autopilot” due to regulatory boundaries.
Early reviews of the suite have been very strong, as local media have also had the opportunity to try it, with one journalist saying, To have this car drive me around Brisbane for an hour, we’re talking in the city, motorway, spaghetti bowl of on-ramps, it handled it so well. It was mind-blowing.”
Mainstream media’s review of @Tesla‘s FSD (Supervised) after using it public roads in Australia:
“To have this car drive me around Brisbane for an hour, we’re talking in the city, motorway, spaghetti bowl of on-ramps, it handled it so well. It was mind-blowing.” pic.twitter.com/Rjsh6yXk93
— Sawyer Merritt (@SawyerMerritt) August 29, 2025
Tesla is overhauling its Full Self-Driving subscription for easier access
Tesla talks Semi ramp, Optimus, Robotaxi rollout, FSD with Wall Street firm
Tesla starts Full Self-Driving rollout to owners in Australia
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