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Mercedes-Benz launches first North American charging hub for all EV drivers
Mercedes-Benz announced today that it has officially launched the first North American charging hub at its Headquarters in Sandy Springs, Georgia.
The Mercedes-Benz Charging Hub is open to EV drivers of any manufacturer, offering a charging option for drivers outside of the German automaker’s models and expanding options for drivers of electric cars.
The charging hub is the first step in Mercedes-Benz’s commitment to invest over $1 billion in a joint venture with MN8 Energy. The two companies will collaborate to bring 2,500 chargers across at least 400 charging hubs in North America by the end of the 2020s.
“The Mercedes-Benz Charging Network expands global charging options for customers of all EV brands to promote clean, electric mobility,” Chairman of the Board of Management of Mercedes-Benz Mobility AG, Franz Reiner, said.
RELATED: Mercedes-Benz leans on ICE sales to bolster earnings as ‘brutal’ EV sector squeezes margins
“In North America, our strategy is clear: focusing on where EV drivers are and where they are going to enhance the North American EV charging map while setting new standards for quality and customer experience. These efforts will pave the way for greater EV adoption here in North America and around the world.”
The charging hub has several special features that will serve as a benchmark for future charging sites:
- 400kW Chargers: The first chargers installed are provided by ChargePoint and are all capable of charging rates of up to 400kW, offering customers some of the fastest charging speeds in the industry.
- Open to all from day one: Drivers of EVs from any brand can charge their vehicle and enjoy a Mercedes-Benz brand commensurate experience.
- Charging lounge: Charging hub customers can enjoy a premium, clean and comfortable environment while their vehicle charges, complete with couches and lounge chairs, vending machines, refreshments, and restroom facilities.
- Solar Canopy: Provides weather cover for customers, overhead LED lighting for safety and solar panels on top to generate passive clean electricity.
- Intelligent Indicators: A pylon built to a height of 15 feet, visible from the street, indicates the status of the charging stall: in use, free or reserved.
- Accessibility: The charging hub includes one charging spot, closest to the charging lounge, designed especially for handicap-accessible vehicles, as well as one uncovered, drive-through charging spot that is designed for electric vans or EVs with trailers up to 26 feet in length.
- Powered by clean energy: Through both direct and indirect means, the charging hub uses renewable energy and is carbon neutral.
At future locations, Mercedes-Benz said it will have “exclusive lounges” that will integrate a retail setting into a charging location. Charging will be the “backdrop” to grabbing a coffee with friends or recharging yourself while your car does the same.
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- Credit: Mercedes-Benz
The partnership with MN8 Energy aims to help the charging hub remain up and running to give those who visit a reliable place to charge their cars. So many EV charging companies have had issues with keeping their chargers maintained, and all too frequently, we see reports of people visiting stalls to charge their cars, but being presented with malfunctioning charging piles.
This is the first of many Mercedes-Benz charging hubs, as we can expect at least sixty of these to come to fruition every year until 2030.
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Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
