News
Tesla Giga Nevada images hint at potential mobile “Megacharger” solution
New images from Giga Nevada suggest that Tesla may be looking to develop a mobile “Megacharger” system for the upcoming Class 8 all-electric Semi. The system seems to be powered by Powerpack batteries.
To clarify, the “Megacharger” is the name of the Semi’s charging infrastructure, as mentioned by CEO Elon Musk during the vehicle’s unveiling in late 2017. Pictures shared with Teslarati show Tesla’s progress with the buildout of Megachargers at Giga Nevada–and maybe a little more. There are a least two Megachargers at the Gigafactory, and Tesla might install more in the future, especially as the Semi’s limited production starts rolling.
However, right behind the Megachargers is a trailer with four Tesla Powerpacks and two urban charger stalls. According to Teslarati’s source, there were two trailers at Giga Nevada, and one of the trailers was fitted with Tesla Powerpacks, which may hint at a potential portable charging system.
-
- (Credit: Jason Colepaugh)
-
- (Credit: Jason Colepaugh)
Tesla’s Mobile Charger Solutions
Tesla has deployed mobile EV charging systems in the past. In 2019, Tesla deployed mobile Superchargers powered by Megapacks for the holidays. It was a simple and practical solution to increase the number of charger stalls at select Supercharger stations quickly and efficiently. Reports then indicated that the Megapack-powered mobile Superchargers could charge about 60-100 vehicles thanks to the Megapack’s 3 MWh capacity.
Mobile “Megachargers” would be a practical move for Tesla and the Semi’s clients. Mobile “Megachargers” could help top-up Semis in popular transport routes while Tesla concentrates on growing its Supercharger Network and the Semi’s dedicated charging infrastructure. Mobile “Megachargers” could also be a cost-effective way for Tesla and the Semi’s clients to ensure that chargers are present for the Class 8 electric truck in locations where they are needed the most.
Tesla deploys Megapack-powered Mobile Superchargers for the holidays
The Semi’s “Megacharger” Evolution
In 2018, a Tesla Semi prototype sighted in Des Moines, IA was spotted using an ad hoc “Megacharger” system that utilized 5 Supercharger V2 stalls. By 2020, sightings of the electric Class-8 revealed an updated ad hoc “Megacharger” solution that used only 2 Supercharger stalls. It was unknown whether the two stalls charging the Semi in 2020 were V2 or V3 Superchargers.
The trailer in the picture recently shared with Teslarati held two urban chargers, suggesting a potentially similar charging setup as the Semi prototype spotted in 2020. As for the use of Powerpacks instead of larger Megapacks, it might be down to cost.
Tesla Semi’s updated ad-hoc Megacharger setup hints at vastly improved battery unit
According to Elon Musk during a 2021 interview with noted podcast host Joe Rogan, the Semi’s 300-mile variant should be equipped with a battery pack that’s around 500 kWh. Previous estimates suggested that the Semi will be fitted with a 600 kWh battery pack for the 300-mile version and a 1 MWh battery pack for the 500-mile Semi variant.
One Megapack has a capacity of 3 MWh and costs about $1.2 million as of July 2021, when Tesla updated the Megapack’s order page. A single Megapack could potentially charge several Semis consecutively, but the costs for such a solution would be substantial. Considering that one Tesla Powerpack has a capacity of up to 232 kWh, four units of the commercial-grade battery would likely have about ~900 kWh of energy capacity. This would likely be enough to top up a couple of Semis at a time, without requiring the full costs of a Megapack-powered system.
The Teslarati team would appreciate hearing from you. If you have any tips, reach out to me at maria@teslarati.com or via Twitter @Writer_01001101.
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
