It appears that Tesla Gigafactory Shanghai has started exporting its locally-made Model 3 to Europe. In September 2020, the all-electric car maker began preparations in Giga Shanghai to produce Model 3 vehicles optimized for export in Asia and the European region.
Tesla’s plans to export the China-made Model 3 from its Shanghai facility were slated to begin in the fourth quarter and the EV automaker seems to have started exporting the Model 3 right on schedule.
According to Greendrive, a customer in Europe was the first to confirm that Giga Shanghai’s Model 3 exports had officially started. The said customer ordered a Model 3 SR+ with a stock hitch and noticed that his invoice stated “Model 3 – China.”
The future Model 3 owner double-checked the invoice for more clues. His Model 3’s VIN also seemed to support that it would be coming from Gigafactory Shanghai. The VIN read “LRW-XXXXXLCXXX.” The “L” stood for the year his Model 3 would be made and the “C” stood for the country it was coming from, which in this case stood for “China.”
Indications that Tesla was already sending its China-made vehicles to other countries emerged when longtime drone-operator Wu Wa conducted a flyover of Gigafactory Shanghai. As could be seen in his footage, the massive facility’s holding lots were filled with Model 3s that had protective wraps.
This, observed Tesla owner-enthusiast Armand Vervaeck, suggested that the Model 3s were being sent abroad, possibly even by train. Wu Wa, for his part, confirmed to Teslarati that the wrapped vehicles he filmed were indeed intended to be exported to other countries.
The main difference between the Model 3 made in the Fremont Factory and Giga Shanghai would be the vehicle’s battery. The Fremont Factory-made Model 3 features nickel manganese cobalt cells (NMC) which have more energy density. However, NMC batteries are more expensive to produce and they still contain cobalt, a rather controversial material.
The China-made Model 3 uses cobalt-free lithium iron phosphate (LFP) batteries, which have allowed Tesla to reduce the cost of its affordable sedan in Asia. Gigafactory Shanghai’s Model 3 became cheaper than its US-made counterpart earlier this month, partly due to its LFP batteries.
As of this writing, there have been no reports of Tesla Giga Shanghai exporting Model 3 vehicles to other countries in Asia. News of China’s Model 3 exports to other countries in Asia and Europe could significantly raise Tesla’s customer base and global reach.
Tesla unveiled its Model 3 “refresh” last week with improved range and performance. Some of the other vehicles in Tesla’s S3XY line also received a range and performance boost. The electric-car manufacturer also reduced the starting price of the Model S, its flagship sedan, to $69,420, making it more aggressively priced against its competitors.
Based on its recent updates, Tesla does not seem to be holding anything back this fourth quarter, and it seems to be revving up for an even more industry-shaking move. These strategies could ultimately be the defining factor in the electric car maker’s attempts at meeting its ambitious goal of delivering half a million cars this 2020.
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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.
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
