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Tesla’s Elon Musk tests the waters for a potential Gigafactory in Texas

Tesla Cybertruck and Tesla Semi with Elon Musk for Jay Leno's Garage (Source: teslacybertruck | Instagram)

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Elon Musk is pondering on building a Gigafactory in Texas and the CEO wants to find out what the electric car community on Twitter thinks of the possible next big move for the electric carmaker. Musk started a poll late Tuesday night and gave the Twitterverse two options: “Hell yeah” and “Nope.” As of writing, the poll has garnered almost 231,000 votes with around 80% of respondents being in favor of building the new Gigafactory in the Lone Star state.

Giga Texas would be Tesla’s fifth Gigafactory, and while many believe the nomenclature is perfect for the state where everything is bigger, many are wondering why Musk would consider building a factory in a state where the direct sale of its vehicles is not allowed. A bill was even pushed once to prohibit the electric car manufacturer from servicing its vehicles in the state.

Tesla has Giga Nevada and Giga New York in the United States. The former is focused on producing batteries for the car manufacturer while the latter produces the Solarglass Roof Tiles and Powerwall. There’s also Giga Shanghai in China that already produces the Model 3 for the biggest automotive market in the world. The Silicon Valley-based carmaker is also hoping to lay the first brick by mid-March of its planned EV factory in Europe, Giga Berlin.

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During the Q4 2019 earnings call, Musk explained that Tesla needs to make sure it has the batteries to make cars that are already on its lineup. “We got to scale battery production to crazy levels that people cannot even fathom today. That’s the real problem,” the chief executive of Tesla said.

Giga Texas might be the solution to this problem. It can also be the perfect place to ramp the production of the Cybertruck, whose Tri-Motor version is set to hit production by 2021. With Giga Texas, the Fremont factory will not have to handle additional pressure as it already produces the Model S, Model X, Model 3, and the much-awaited Model Y crossover. Ultimately, penetrating Texas is setting foot in the heart of the country’s biggest oil producers and refineries, and that’s quite a statement for Tesla.

It should be noted that Texas has a lively tech scene, particularly in Austin. Tech talents from Silicon Valley have been flocking to this region. The blossoming tech scene in the metro is blossoming enough that people call Austin as “Silicon Hills.”

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Earlier this week, Elon Musk announced via Twitter that he will be hosting an AI hackathon party at his house. This time-boxed event is most likely to further accelerate the development of Tesla’s Full Self-Driving capabilities and improvements to its Autopilot feature. It is also a perfect setup to fish for new talents that will join Tesla’s workforce. Interestingly enough, Musk mentioned in his hackathon announcement that the electric car maker was looking for chip designers who can join the team in Palo Alto and Austin.

Even without waiting for the Giga Texas poll to end, the Twitterverse and Elon Musk’s 31 million followers may have already an obvious decision. For sure, everyone is eager to hear additional details about the new Gigafactory Musk is planning to build, as well as the role Giga Texas will play Tesla’s efforts to transition the transportation towards sustainability.

A curious soul who keeps wondering how Elon Musk, Tesla, electric cars, and clean energy technologies will shape the future, or do we really need to escape to Mars.

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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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