News
First look at Tesla Model 3 Standard Range Plus’ faster charging speed in action
A Tesla Model 3 Standard Range Plus owner recently demonstrated the improvements in his vehicle’s Supercharging speed following the release of the 2019.40.2.1 update. The over-the-air speed boost allows even lower-tier variants of the Model 3 to recharge their batteries at a rate that exceeds that of competitors.
In a post on Twitter, Tesla Model 3 owner @TeslaOwnersLV showed how his all-electric sedan was able to hit charging speeds of up to 601 mph. Prior to receiving the 2019.40.2.1 update, the Tesla enthusiast stated that his Model 3’s charging rate usually leveled off at around 100-106 kW.
Particularly interesting in the Model 3 owner’s video was the fact that the vehicle was not connected to Tesla’s fastest charger. It was taken at a V2 station, which has a maximum output of 150 kW. With a 250 kW V3 Supercharger, the Model 3 Standard Range Plus could charge at an even faster rate.
@Tesla @elonmusk
Taking advantage of the increase in charging rate (SR+) since update 2019.40.2.1
Thanks @elonmusk pic.twitter.com/eCKSqiBuan— Oh My Portugal! (@OhMyPortugal) December 16, 2019
Tesla has been rolling out improvements to the Supercharging speed of its more affordable vehicles as of late. In early November, Tesla released its version 2019.36.1 update, and one of its key upgrades was an increase in Supercharging peak power by 50-70%. Prior to the update, the Standard Range Plus Model 3 had a maximum 100 kW to 120 kW charge rate, which was ample but not on par with the charging speed of Tesla’s higher-tier vehicles.
The release notes for the Standard Range Plus’ charging speed boost were short and direct. “Your Model 3 is now able to charge with increased peak rate power up to 170 kW,” Tesla wrote. Yet, despite this simple description, the upgrade provided a great improvement to the user experience of the vehicle. Charging stops became shorter and faster, a big advantage for extended trips.
Confirmed! 2019.36.1 increases the peak supercharging power for Model 3 SR+ to 170kW. Source https://t.co/MTX9QHYj6P pic.twitter.com/fadz41eBlE
— Tesletter (@tesletter) November 3, 2019
But it’s not just the Standard Range Plus Model 3 that received a boost in Supercharging speeds. In late November, Tesla also introduced an increase in Supercharging peak power for the rare Mid-Range Model 3, raising its maximum charging speed to 200 kW with the Supercharger V3 Network. This was on top of the vehicle’s 5% performance boost, which reduced the Mid-Range Model 3’s 0-60 mph time to 4.9 seconds.
Tesla’s lead in battery tech and charging systems can be seen in how the company improves its vehicles’ specs over time. With its 170 kW peak charging rate, a sub-$40,000 Model 3 Standard Range Plus can replenish around 118 miles of its range in 10 minutes, provided that it is connected to one of Tesla’s 250 kW Supercharger V3 stations. In contrast, the $150,000 Porsche Taycan Turbo, with its 250 kW peak charging rate (at least for now), is able to recharge around 85 miles of its range in 10 minutes.
Along with faster Supercharging rates, the 2019.40.2.1 release notes talk about improvements in the Adjacent Lane Speeds feature, Automatic Wiper Fixes, and Autosteer Stop Sign Warnings.
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.