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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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Elon Musk

Tesla Cybercab coming next to Giga Berlin, Optimus possibly after

“From a next major product standpoint, I think most likely is the Tesla Cybercab,” Musk said.

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Credit: Cybercab

Tesla could add the Cybercab and Optimus humanoid robot to the production lineup at Giga Berlin, as per recent comments from CEO Elon Musk. 

During a recent interview with Giga Berlin plant manager André Thierig, Musk identified the Cybercab as the most likely next major product for the German factory, with Optimus potentially following after.

“From a next major product standpoint, I think most likely is the Tesla Cybercab,” Musk said. He added that there are also “possibilities of Tesla Optimus” being produced in the facility.

Tesla has already begun production of the Cybercab in Giga Texas, with volume production expected to ramp this year. Based on Musk’s comments, it appears that if conditions align in Europe, Giga Berlin could eventually join that effort.

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The CEO’s comments about Optimus coming to Gigafactory Berlin are quite unsurprising too considering that Musk has mentioned in the past that the humanoid robot will likely be Tesla’s highest volume product in the long run. 

Giga Berlin will likely be able to produce mass volumes of Optimus, as the Model S and Model X lines being converted to an Optimus line in the Fremont Factory are already expected to produce 1 million units of the humanoid robot annually. 

Apart from his comments about the Cybercab and Optimus, Elon Musk also confirmed that Giga Berlin has started ramping battery cell production and will continue expanding Model Y output, particularly as supervised Full Self-Driving (FSD) gains regulatory approvals in Europe.

Taken together, the remarks suggest Berlin’s role could evolve beyond vehicle assembly into a broader multi-product manufacturing hub, not just a regional Model Y plant.

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Tesla Powerwall distribution expands in Australia

Inventory is expected to arrive in late February and official sales are expected to start mid-March 2026.

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Credit: Tesla

Supply Partners Group has secured a distribution agreement for the Tesla Powerwall in Australia, with inventory expected to arrive in late February and official sales beginning in mid-March 2026.

Under the new agreement, Supply Partners will distribute Tesla Powerwall units and related accessories across its national footprint, as noted in an ecogeneration report. The company said the addition strengthens its position as a distributor focused on premium, established brands.

“We are proud to officially welcome Tesla Powerwall into the Supply Partners portfolio,” Lliam Ricketts, Co-Founder and Director of Innovation at Supply Partners Group, stated.

“Tesla sets a high bar, and we’ve worked hard to earn the opportunity to represent a brand that customers actively ask for. This partnership reflects the strength of our logistics, technical services and customer experience, and it’s a win for installers who want premium options they can trust.”

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Supply Partners noted that initial Tesla Powerwall stock will be warehoused locally before full commercial rollout in March. The distributor stated that the timing aligns with renewed growth momentum for the Powerwall, supported by competitive installer pricing, consumer rebates, and continued product and software updates.

“Powerwall is already a category-defining product, and what’s ahead makes it even more compelling,” Ricketts stated. “As pricing sharpens and capability expands, we see a clear runway for installers to confidently spec Powerwall for premium residential installs, backed by Supply Partners’ national distribution footprint and service model.”

Supply Partners noted that a joint go-to-market launch is planned, including Tesla-led training for its sales and technical teams to support installers during the home battery system’s domestic rollout.

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Elon Musk

Tesla Giga Berlin growth could stall if not “free from external influences”: Elon Musk

The comments were delivered in a pre-recorded video discussion.

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Credit: Andre Thierig/X

Tesla CEO Elon Musk has reportedly warned that future expansion of Gigafactory Berlin could be jeopardized if the site does not remain “free from external influences.”

Musk’s comments were delivered in a pre-recorded video discussion with employees and came at a sensitive moment for the facility, where union representation has been a recurring issue.

According to reports from Handelsblatt and Der Spiegel, citing participants at the event, Musk suggested that if Giga Berlin is no longer “free from external influences,” further expansion would become unlikely. He did not, however, hint that the plant would shut down.

While Musk did not name IG Metall directly, his remarks were widely interpreted as referencing the union, which is currently the largest faction on the works council but does not hold a majority, as noted in an electrive report. 

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The video conversation was conducted between Musk in Austin and Grünheide plant manager André Thierig, then played back to the workforce in Germany. Works council elections are scheduled for early March, heightening the tension between management and organized labor.

The CEO has previously voiced concerns that stronger union influence could limit Tesla’s operational flexibility and long-term strategy in Germany.

Despite the warning on expansion, Musk praised the Giga Berlin site during the same address, describing it as one of the most advanced factories worldwide and highlighting its cleanliness and team culture.

The discussion also reportedly touched on battery cell production. According to attendees cited in German media, Musk indicated that Tesla has begun ramping cell production at the site. That would mark a notable shift from earlier expectations that large-scale cell manufacturing in Brandenburg would not begin until 2027.

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