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Tesla and other EVs’ strong sales helped drop Europe’s CO2 emissions in 2021

Credit: @tesla_adri/Twitter

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A recent report from market trend analysis firm JATO Dynamics has revealed that Tesla’s strong sales in Europe, coupled with the introduction of more environmentally-friendly SUVs, have helped drive a 16% reduction in CO2 emissions among new vehicles sold across the region in 2021. 

JATO Dynamics’ findings were related in a report titled Driving the Change for Good: The EV Boom. According to the report, the volume-weighted average emissions of new vehicles across 17 markets in Europe dropped from 117.7g/km to 99g/km year-over-year. This drop happened to coincide with Tesla’s massive push into the electric market in Europe last year, which was made possible by exporting the Model 3 and Model Y from Gigafactory Shanghai in China. 

It’s not just Tesla either, according to JATO’s report, as OEMs also showed a willingness to adopt more environmentally-friendly options in popular segments such as the SUV market. The analytics firm noted that prior to 2021, the lack of electric and even electrified SUVs in Europe was a limiting factor in the region. But in 2021, carmakers showed their willingness to meet consumer demand for green SUVs. 

“The enhanced offering of new and improved electrified SUV models has further fuelled demand while also having a positive impact in reducing average CO2 emissions with midsize SUVs emerging as some of greenest vehicles in Europe,” the report read. 

But while SUVs remained popular in Europe in 2021, other segments such as midsized cars also saw a reduction in CO2 emissions. This is where things get particularly interesting, as JATO noted that the drop in CO2 emissions among midsize cars was partly due to the strength of the Tesla Model 3, which became Europe’s most-registered midsize car in 2021. The Model 3 became very prolific in Europe last year, and the results were notable. 

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“There have also been interesting results across the traditional segments. For example, midsized cars (D-Segment) posted almost the same average as city cars, with 75.9 g/km compared to 76.9 g/km. This success is due to the Tesla Model 3 – the most registered midsize car in Europe in 2021 – with a volume increase of 64% compared with 2020. Last year, almost one in five D-segment cars registered in Europe was a Model 3, and this has started to have a real impact on the average emissions of the segment. In 2017, before the Model 3 arrived in Europe, the segment’s average was 120.1 g/km under NEDC,” JATO’s report read. 

Amidst Europe’s focus on clean transportation, there appears to be a power shift among automakers that are operating in the region. With Tesla now being a very active player in the field, all-electric cars are positioned better than ever to expand their reach. The landscape would likely get even better for Tesla and electric vehicles in the near future as well, as Gigafactory Berlin has now started Model Y production.  

“However, as a result of Tesla’s huge success since its arrival in Europe, we have seen a rebalancing of power. The popularity of the Tesla Model 3 and, more recently, the Model Y, pushed Tesla into the top 25 for the first time. With a record 165,700 units in Europe-17 and 169,200 across the whole region last year, Tesla became Europe’s preferred brand for electric vehicles. Overall, it was the 20th most registered make in 2021 and unsurprisingly, led the ranking of emissions by brand with 0.0 g/km.1,” the report read. 

JATO Dynamics’ Driving the Change for Good: The EV Boom report can be accessed below. 

JATO Consulting CO2 Report Full Year 2021 by Simon Alvarez on Scribd

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo

“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.

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Credit: Grok Imagine

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. 

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“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.”

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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.

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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.

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Credit: xAI/X

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.”

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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. 

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Elon Musk’s xAI closes upsized $20B Series E funding round

xAI announced the investment round in a post on its official website. 

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Credit: xAI

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.”

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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. 

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