Rumors about Tesla’s upcoming V4 Supercharger are swirling throughout the community, with various details about the new charging stacks being speculated against. Tesla Superchargers are the most populous on Earth and have also started to expand to other automakers in some regions, like Europe. However, the company is looking to bring out a new design and also a potential adoption of CCS support for non-Tesla owners.
Tesla’s current top-of-the-line Supercharger is the V3, which is capable of 250 kW charging speeds that can give owners 1,000 miles of range per hour. The introduction of the V3 Supercharger was during my first days as a journalist at Teslarati, and I remember it vividly. It was incredible to see such fast charging speeds and a controlled and calculated rollout of Tesla’s new tech. But of course, even new tech becomes outdated.
The new V4 Supercharger could have a completely updated design, according to @MarcoRPTesla, who stated that the new design will be taller, slimmer, and more streamlined than previous Supercharger shell designs.
As for the V4 design, it looks like Tesla will be using a different shell than the current V2 and V3 models.
While I have yet to determine the new shape, I was able to find the dimensions so that it can be compared to the current model. pic.twitter.com/QQhtDgHfCJ
— MarcoRP (@MarcoRPTesla) July 9, 2022
One could argue that the design of the upcoming V4 Superchargers are similar to the Megachargers Tesla will utilize for the Semi. Teslarati showed exclusive images of the Megacharger design at the Frito-Lay factory in Modesto in June, and it is similar to the drafts of the V4 Supercharger design.
Credit: Teslarati reader Timke Klinker
As you can see from these drafted designs, the new V4 Supercharger could be completely different in terms of dimensions and could be an advantage when used with Tesla’s upcoming Cybertruck as it is a larger vehicle.
The front page of a report also leaked from Tesla that showed the company is planning to develop a Supercharger Charge Post that has Dual Cables that are suitable for both V3 and V4 charging speeds and could also include a potential CCS charging port for third-party automakers to use.
Now, Tesla has discussed opening Superchargers to third-party companies for several years, and it’s already started in the form of a Pilot Program in Europe. The same type of program could be launched in the United States later this year, and it likely will start with the V4 Supercharger. After all, the White House said in late June:
“Later this year, Tesla will begin production of new Supercharger equipment that will enable non-Tesla EV drivers in North America to use Tesla Superchargers.”
V4 supercharger deployment starts this year, first locations will be in Austin, Texas. Higher max charge rate and voltage will be supported, as well as both CCS and Tesla cables @elonmusk $TSLA
— Whole Mars Catalog (@WholeMarsBlog) July 13, 2022
Earlier this week, automaker Aptera pleaded to Congress that Tesla’s Supercharger should be the standard in the United States. “While electric vehicle technology has rapidly advanced, the charging standard in the U.S. has not,” Aptera wrote in an email to Teslarati. “CCS and SAE J1772, the US’s common standards, are clunky, cumbersome, and expensive.”
Tesla’s non-Tesla Supercharger pilot program expands to France, Norway
It is unlikely that Tesla’s Supercharger design will be adopted as the Standard, but the inclusion of CCS-compatible charging connectors on upcoming Superchargers would be a huge advantage for e-mobility and the adoption of EVs as a whole.
I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.
News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
