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NVIDIA and Bosch partner on AI self-driving car supercomputer

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NVIDIA CEO Jen-Hsun Huang announced to attendees at the Bosch Connected World conference in Berlin this week that they have partnered with Bosch to producing  an artificial intelligence supercomputer aimed at the self-driving car industry.

“I’m so proud to announce that the world’s leading tier-one automotive supplier — the only tier one that supports every car maker in the world — is building an AI car computer for the mass market,” said Huang. “We’ve really supercharged our roadmap to autonomous vehicles. We’ve dedicated ourselves to build an end-to-end deep learning solution. Nearly everyone using deep learning is using our platform.”

The announcement made by NVIDIA comes on the heels of this week’s announcement that the world’s leading chipmaker Intel will be acquiring ex-Tesla Autopilot partner Mobileye for $15 billion.

NVIDIA’s Drive PX platform with Xavier technology can process up to 30 trillion deep learning operations a second while drawing just 30 watts of power. It is intended to provide Level 4 autonomy, where a vehicle equipped with the technology can drive on its own.

Huang noted that a wide variety of companies are actively working on self-driving solutions. From carmakers like Audi, Ford, BMW, and Tesla, to technology companies such as Waymo, Uber and China’s Baidu.

As the self-driving car industry continues to take shape, vehicles will require an unprecedented level of computing power to make instantaneous decisions on nearly an infinite number of scenarios that can take place in a real world environment. Though vehicles on the road today are equipped with driving-assist features like Tesla Autopilot that allows the car to detect object and handle acceleration and braking when needed, the requirements for autonomous driving are dramatically more demanding. Cars that stray from their lanes, objects that fall onto the roadway, rapid shifts in weather conditions, deer that dart across the road. The permutations are endless, said Huang.

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Despite the positive outlook on a self-driving future being presented at Bosch Connected World, the conference also revealed a significant difference of opinion between the companies in attendance regarding when they expect full Level 5 autonomy – when a vehicle can drive entire on its own without human involvement – to become widely available. Huang told the conference he expects to have chips available that will permit Level 3 automated driving which still requires a human driver to intervene, by the end of this year. He sees those chips being incorporated into customers’ cars and on the road by the end of 2018. The following year will see chips capable of Level 4 full autonomy on the road. The distinction between Level 4 and Level 5 full autonomy is that Level 4 does not cover every driving scenario.

Elmar Frickenstein, the head of autonomous driving at BMW, told the conference his company will be ready to offer cars with Level 3 capability in 2021 with Level 4 and Level 5 autonomy following shortly thereafter. He thinks self-driving cars may first be produced in small numbers for fleet customers like Uber, Waymo, and Baidu.

Surprisingly, Bosch CEO Volkmar Denner told the attendees his timeline for fully self-driving cars for mainstream customers is not before 2025, if then.

Fully self driving cars that can operate in all environments require enormous computing power, Huang told the conference. “No human could write enough code to capture the vast diversity and complexity that we do so easily, called driving,” he said.

The conference highlighted the differences between traditional car companies, which think full autonomy is still 7 to 10 years away, and chip companies like NVIDIA who see a much shorter timeline. Huang thinks companies like his will drive the pace of change faster than predicted. “In the near future, you’re going to see these schedules pull in,” he says.

Tesla, which uses a supercomputer made by NVIDIA on Model S, Model X and the upcoming Model 3 that are equipped with Autopilot 2.0 full self-driving hardware, is perhaps the most optimistic of all when it comes to having fully autonomous vehicles on the road. Elon Musk believes every car equipped with the Hardware 2 package will begin seeing Full Self-Driving capabilities as early as this year, barring regulatory approval.

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Tesla’s Full Self-Driving Capability to arrive in 3 months, “definitely” by 6 months, says Musk

Tesla is accumulating driving data from billions of miles of real world driving each day and using that information to improve its algorithm for Autopilot.

 

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Elon Musk teases TSMC as potential Terafab partner

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SpaceX Terafab rendering
SpaceX Terafab rendering

Elon Musk has acknowledged that early discussions with Taiwan Semiconductor Manufacturing Company (TSMC) could bring the company into his ambitious Terafab semiconductor project, signaling a possible partnership with the world’s leading contract chipmaker.

Musk confirmed that early talks are underway, but as of right now, they are “just discussions.” There is no confirmation of a deal nor dismissal of the possibility of one, leaving open the prospect of one of the largest advanced-chip collaborations under discussion in the U.S.

The report that speculated on potential discussions between Terafab and TSMC comes from Tim Culpan, who outlined a few ways the collaboration could operate. One is TSMC using the project as an “anchor customer” for future facilities in Texas, potentially contributing process expertise, operational know-how, or capacity while Terafab provides capital, long-term purchase commitments, or both.

Tesla and SpaceX jointly developed the Terafab project, with Intel already participating on the tech side. Elon Musk announced the project in March, and it intends to produce more than one terawatt of AI compute capacity annually once fully built.

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Elon Musk’s Terafab project locks up massive new partner

Company statements place the first phase at approximately $16.8 billion in cost, with later filings pointing to a total that could reach well into the tens of billions across multiple stages.

Intel joined the effort in April 2026 and is expected to supply its 14A manufacturing process for the full-scale plant.

Musk has said existing suppliers, including Samsung and TSMC, remain important for near-term needs; Tesla already has production arrangements with Samsung for AI5 and AI6 chips, but that future demand from Optimus robots, Cybercab vehicles, and planned space-based data centers will eventually exceed what the global industry can currently deliver.

Terafab is positioned as the long-term answer to that projected shortfall, and Tesla did something similar during COVID to avoid a chip shortage. This is just a much larger-scale solution.

If the partnership were to materialize, it would add TSMC’s industry-leading strategies to a project that already combines Tesla’s and SpaceX’s capital and offtake with Intel’s process technology. For now, the only public confirmation is Musk’s brief acknowledgement that conversations are occurring.

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Tesla reveals early Robotaxi charging strategy, showing scrappy DNA

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Credit: Tesla

Tesla’s early strategy for charging units operating within its Robotaxi fleet reveals that the company surely has not lost any of that scrappy DNA that took it from an unlikely success story to the most valuable carmaker in the world.

An observer at a Tesla Supercharger in Austin spotted ten total Robotaxi vehicles arrive: one Cybercab and nine Model Y units. A Tesla employee was waiting at the lot and allowed each unit to park itself; every car that arrived had nobody in it.

Tesla wins FCC approval for wireless Cybercab charging system

The Tesla employee would walk around and plug each car in, adjusting the parking if needed:

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It’s a very interesting strategy, but extremely understandable at this early point in the Robotaxi program. It’s only been out for about 15 months, and Cybercab just entered the fleet in early September.

On top of that, Tesla is still working tirelessly on its wireless charging apparatus, and a new patent was just published regarding that product last week.

However, this is just another example of how Tesla still has plenty of that scrappy DNA leftover from the “production hell” days, when CEO Elon Musk slept on the floor of the factory, employees were working crazy hours, Tesla was building Sprung Structures to build cars in, and the company was tiptoeing on the brink of bankruptcy.

For now, Tesla is utilizing a simple system for recharging its ride-hailing vehicles, and that is a Tesla employee doing it manually until another solution presents itself. Sure, it’s not the most high-tech thing, and it certainly is not what people might have expected at this point in time, but it works, and it’s keeping the entire suite running.

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Tesla Robotaxi expands hours, Musk explains why it’s been a challenge

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Credit: Tesla

Tesla is expanding its Robotaxi service hours by pushing the time back by one hour, keeping the ride-hailing service operational until 11 p.m., one hour later than previously.

CEO Elon Musk confirmed the change and offered a specific reason the expansion has been gradual: the system still needs to reliably avoid small pets that are difficult to see after dark, as they commonly blend into the color of the road, especially when they’re grey.

The latest adjustment restores only a fraction of the operating window the service once held. When paid Robotaxi rides began in Austin on June 22, 2025, vehicles ran from 6 a.m. to midnight.

Tesla Robotaxi will be a 24/7 service: here’s when

In September 2025, Tesla lengthened the day to a 2 a.m. close, producing a 20-hour window that stayed in place for most of the following year. By early August of this year, the cutoff had already been pulled back; an August 26 update formalized hours of 6 a.m. to 10 p.m. across Austin and several other markets.

The October move to 11 p.m. therefore leaves the Austin day one hour shorter than the original launch schedule and three hours shorter than the 2025 peak.

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Musk addressed the constraint directly after the announcement. “The main thing we’re trying to solve is making sure that we don’t run over pets when they’re hard to see at night,” he wrote. “Literally trying to avoid grey kittens on grey tarmac in the dark.”

The example points to a low-contrast perception problem in which a small animal can blend into the road surface under limited lighting.

Tesla’s vehicles rely on cameras and neural-network processing rather than lidar; Musk has previously argued that advanced vision software can extract useful information even in low light by analyzing photon counts, but the pet-detection case remains the stated limiter in later hours.

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The modest schedule change arrives alongside faster growth in the purpose-built Cybercab fleet. Texas registration data tracked by observers showed the Austin Cybercab count rising sharply in recent weeks, reaching 169 vehicles after more than 100 were added in a short span.

Tesla has indicated that a broader shift toward 24-hour operation is tied to the upcoming FSD v15 software release expected this month on Robotaxi vehicles. Until that capability is validated for the edge cases Musk described, the company continues to add service time incrementally rather than jumping straight to overnight coverage.

The one-hour extension gives Austin riders a later option for evening trips while the underlying detection work continues.

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