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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.
Elon Musk
Tesla analyst breaks down delivery report: ‘A step in the right direction’
“This will be viewed as better than feared deliveries and a step in the right direction for the Tesla story heading into 2026,” Ives wrote.
Tesla analyst Dan Ives of Wedbush released a new note on Friday morning just after the company released production and delivery figures for Q4 and the full year of 2025, stating that the numbers, while slightly underwhelming, are “better than feared” and as “a step in the right direction.”
Tesla reported production of 434,358 and deliveries of 418,227 for the fourth quarter, while 1,654,667 vehicles were produced and 1,636,129 cars were delivered for the full year.
Tesla releases Q4 and FY 2025 vehicle delivery and production report
Interestingly, the company posted its own consensus figures that were compiled from various firms on its website a few days ago, where expectations were set at 1,640,752 cars for the year. Tesla fell about 4,000 units short of that. One of the areas where Tesla excelled was energy deployments, which totaled 46.7 GWh for the year.
🚨 Wedbush’s Dan Ives has released a new note on Tesla $TSLA:
“Tesla announced its FY4Q25 delivery numbers this morning coming in at 418.2k vehicles slightly below the company’s consensus delivery estimate of 422.9k but much better than the whisper numbers of ~410k as the…
— TESLARATI (@Teslarati) January 2, 2026
In terms of vehicle deliveries, Ives writes that Tesla certainly has some things to work through if it wants to return to growth in that aspect, especially with the loss of the $7,500 tax credit in the U.S. and “continuous headwinds” for the company in Europe.
However, Ives also believes that, given the delivery numbers, which were on par with expectations, Tesla is positioned well for a strong 2026, especially with its AI focus, Robotaxi and Cybercab development, and energy:
“This will be viewed as better than feared deliveries and a step in the right direction for the Tesla story heading into 2026. We look forward to hearing more at the company’s 4Q25 call on January 28th. AI Valuation – The Focus Throughout 2026. We believe Tesla could reach a $2 trillion market cap over the coming year and, in a bull case scenario, $3 trillion by the end of 2026…as full-scale volume production begins with the autonomous and robotics roadmap…The company has started to test the all-important Cybercab in Austin over the past few weeks, which is an incremental step towards launching in 2026 with important volume production of Cybercabs starting in April/May, which remains the golden goose in unlocking TSLA’s AI valuation.”
It’s no secret that for the past several years, Tesla’s vehicle delivery numbers have been the main focus of investors and analysts have looked at them as an indicator of company health to a certain extent. The problem with that narrative in 2025 and 2026 is that Tesla is now focusing more on the deployment of Full Self-Driving, its Optimus project, AI development, and Cybercab.
While vehicle deliveries still hold importance, it is more crucial to note that Tesla’s overall environment as a business relies on much more than just how many cars are purchased. That metric, to a certain extent, is fading in importance in the grand scheme of things, but it will never totally disappear.
Ives and Wedbush maintained their $600 price target and an ‘Outperform’ rating on the stock.
Investor's Corner
Tesla releases Q4 and FY 2025 vehicle delivery and production report
Deliveries stood at 406,585 Model 3/Y and 11,642 other models, for a total of 418,227 vehicles.
Tesla (NASDAQ:TSLA) has reported its Q4 2025 production and deliveries, with 418,227 vehicles delivered and 434,358 produced worldwide. Energy storage deployments hit a quarterly record at 14.2 GWh.
Tesla’s Q4 and FY 2025 results were posted on Friday, January 2, 2026.
Q4 2025 production and deliveries
In Q4 2025, Tesla produced 422,652 Model 3/Y units and 11,706 other models, which are comprised of the Model S, Model X, and the Cybertruck, for a total of 434,358 vehicles. Deliveries stood at 406,585 Model 3/Y and 11,642 other models, for a total of 418,227 vehicles.
Energy deployments reached 14.2 GWh, a new record. Similar to other reports, Tesla posted a company thanked customers, employees, suppliers, shareholders, and supporters for its fourth quarter results.
In comparison, analysts included in Tesla’s company-compiled consensus estimate that Tesla would deliver 422,850 vehicles and deploy 13.4 GWh of battery storage systems in Q4 2025.
Tesla’s Full Year 2025 results
For the full year, Tesla produced a total of 1,654,667 vehicles, comprised of 1,600,767 Model Y/3 and 53,900 other models. Tesla also delivered 1,636,129 vehicles in FY 2025, comprised of 1,585,279 Model Y/3 and 50,850 other models. Energy deployments totaled 46.7 GWh over the year.
In comparison, analysts included in Tesla’s company-compiled consensus expected the company to deliver a total of 1,640,752 vehicles for full year 2025. Analysts also expected Tesla’s energy division to deploy a total of 45.9 GWh during the year.
Tesla will post its financial results for the fourth quarter of 2025 after market close on Wednesday, January 28, 2026. The company’s Q4 and FY 2025 earnings call is expected to be held on the same day at 4:30 p.m. Central Time.
Elon Musk
Starlink achieves major milestones in 2025 progress report
Starlink wrapped up 2025 with impressive growth, adding more than 4.6 million new active customers and expanding service to 35 additional countries, territories, and markets.
Starlink wrapped up 2025 with impressive growth, adding more than 4.6 million new active customers and expanding service to 35 additional countries, territories, and markets. The company also completed deployment of its first-generation Direct to Cell constellation, launching over 650 satellites in just 18 months to enable cellular connectivity.
SpaceX highlighted Starlink’s impressive 2025 progress in an extensive report.
Key achievements from Starlink’s 2025 Progress
Starlink connected over 4.6 million new customers with high-speed internet while bringing service to 35 more regions worldwide in 2025. Starlink is now connecting 9.2 million people worldwide. The service achieved this just weeks after hitting its 8 million customer milestone.
Starlink is now available in 155 markets, including areas that are unreachable by traditional ISPs. As per SpaceX, Starlink has also provided over 21 million airline passengers and 20 million cruise passengers with reliable high-speed internet connectivity during their travels.
Starlink Direct to Cell
Starlink’s Direct to Cell constellation, more than 650 satellites strong, has already connected over 12 million people at least once, marking a breakthrough in global mobile coverage.
Starlink Direct to Cell is currently rolled out to 22 countries and 6 continents, with over 6 million monthly customers. Starlink Direct to Cell also has 27 MNO partners to date.
“This year, SpaceX completed deployment of the first generation of the Starlink Direct to Cell constellation, with more than 650 satellites launched to low-Earth orbit in just 18 months. Starlink Direct to Cell has connected more than 12 million people, and counting, at least once, providing life-saving connectivity when people need it most,” SpaceX wrote.
Tesla analyst breaks down delivery report: ‘A step in the right direction’
Tesla releases Q4 and FY 2025 vehicle delivery and production report
