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Tesla’s nickel future will benefit the company and the consumer
It is no secret that batteries play a massive role in Tesla’s future. Not only do the materials that are mined for the company’s electric cars need to be sustainably sourced, but they need to fit the company’s long and short-term goals.
For a long time, the talk about electric vehicle batteries has been focused on cobalt. The chemical element is controversial for several reasons: it is expensive, it is mined in immoral ways in many countries, and it is not great for the environment. However, companies can choose to source it responsibly, and Tesla has maintained that its cobalt sources are moral and proper in their obtaining of the element.
But during yesterday’s Q2 2020 Earnings Call with Tesla executives, cobalt was not mentioned even once. The focus stood on nickel and the benefits it could play for future company projects, which are based on the foundation that batteries need to be long-lasting and energy-dense. This fact is especially prevalent when it comes to the company’s commercial Semi truck, which will be responsible for transitioning the considerable commerce and trucking industry to function more sustainably.
“Please mine more nickel,” CEO Elon Musk pleaded to mining companies. “Tesla will give you a giant contract for a long period of time if you mine nickel efficiently and in an environmentally sensitive way.”
Nickel is included in the current EV batteries that Tesla uses. A Nickel-Cobalt-Aluminum battery has been produced at Giga Nevada, but the company continues to submit patents that could revolutionize the way its batteries function. Ultimately, the goal is to have million-mile capable cells that will not only translate to a longer lifespan for an electric car but also an extended time of use for Tesla energy storage products.
Musk was adamant during yesterday’s call that Nickel mining is crucial to the company’s fleet of future vehicles. Why? Because Nickel-based battery cells can handle what the Tesla Semi will require to function, which is high energy density. This will ultimately translate to an extended range.
The Semi will be responsible for hauling massive amounts of cargo across the country. It will have to scale steep grades and handle different weather scenarios in every area it travels in. All of these factors will inevitably affect the Semi’s range, and the way to combat that is to come up with more energy-dense cells that are capable of handling a multitude of situations.
“Obviously, those are needed for something like Semi, where every, every unit of mass that you add in a battery pack, you have to subtract in cargo,” Musk said. “So it’s very important to have a mass efficient and long-range pack for four batteries.”
But Tesla’s nickel operation goes far past the company’s Semi plans. It also translates to be beneficial for passenger vehicles that are aimed toward mass-market production, like the Model 3 and Model Y.
After Tesla scrapped plans for the Standard Range RWD Model Y earlier this month, Musk indicated that the new normal for EVs should be 300 miles of range. The Standard Range Y wouldn’t fit that description, as the CEO said it would be capable of less than 250 miles. In Tesla terms, that is unacceptable.
A question during yesterday’s call suggested that Tesla could be shifting from smaller-pack vehicles to larger ones, but that doesn’t seem to be the case. The real struggle is creating effective electric transport across the entire market, instead of for one type of vehicle.
Range is a substantial part of driving an electric vehicle, regardless of who made the car. The focus for Tesla is increasing range and longevity for the company and the consumer. Across each of its cars, the range is of utmost importance, and it begins with nickel mining.
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
