In an announcement at a meeting with the Nevada Board of Education last Thursday, Tesla officials stated that it would be issuing an initial grant of $1.5 million to the state’s K-12 education system. The donation is the first part of a $37.5 million grant that Tesla is set to roll out for the next few years, as a means for the company to help develop STEM talent within the state.
According to Nevada Gov. Brian Sandoval, Tesla’s grant, which would be released on a quarterly basis, will give students more access to specialized fields of study such as Science, Technology, Engineering, and Math (STEM). In a statement to the Nevada Appeal, Tesla CTO JB Straubel stated that the electric car maker and energy company expects STEM jobs in the state to increase over the coming years.
“The demand for STEM jobs in Nevada will continue to grow dramatically over the next few years,” Straubel said.
Tesla selected the recipients of the initial $1.5 million grant together with teachers, business leaders, and Nevada government officials. The first round of recipients includes $315,550 to FIRST Nevada and $127,100 to Robotics Education and Competition Foundation, which would allow schools to establish premier robotics programs. $263,924 will also be given to the DRI at UNR as well, to develop teacher training programs on robotics and STEM.
The Envirolution, Inc. is set to receive $262,700, which would enable the institution to develop a STEM program that focuses on energy sustainability, as well as projects that push energy efficiency to local Nevada schools and businesses. $200,000 will also be granted to Jobs for Nevada Graduates for the development of mentoring and employability skills. Sierra Nevada Journeys is set to receive $154,083 to implement programs that would foster interest in STEM fields at an early age. The grant will also be used to provide 250 scholarships for students in underserved communities, where qualifying individuals could attend overnight learning programs.
Lastly, $76,643 will be granted to Energetics Education for a pilot Solar Rollers program in Washoe County, which would challenge high school students to design, build, and race solar-powered radio-controlled vehicles. An additional $50,000 each at Washoe and Clark school districts will further be distributed to expand special assignment roles in Career and Technical Education offices.
Tesla’s grant to Nevada’s education system was outlined in the company’s documents from October 2014. As noted by auto journalist Bozi Tatarevic on Twitter, Tesla’s donations for the state’s education system is part of Gigafactory 1’s incentive package. In the filings submitted by Tesla then, the electric car and energy company pledged to make direct contributions to the state’s K-12 programs, together with a $1 million grant to fund advanced battery research at the UNL, as well as a pledge to support the state’s the veterans.
“Tesla will make direct contributions to K-12 education of $37.5 million beginning August 2018; grant $1 million to fund advanced battery research at UNLV; prioritize the employment of Nevadans and Veterans.”
Tesla takes part in this year’s Introduce a Girl to Engineering Day. [Credit: Tesla]
As noted in Tesla’s Gigafactory incentive deal, the battery facility is expected to increase regional employment by 10%, with a total economic impact of around $100 billion. This economic impact is expected to increase Nevada’s regional GDP by 20%. The Gigafactory is also estimated to generate around $1.9 billion in total financial impacts.
Tesla’s Gigafactory in Nevada is tasked with the production of the battery packs and drivetrains for the Model 3, the company’s first attempt at a mass-market electric car. Over the past year, Gigafactory 1 has largely grown from within as Tesla continued the production ramp of the electric sedan. This past Q2 2018, reports emerged that robots and additional machinery from Tesla Grohmann Automation in Germany were transported by air from Europe. The robots were reportedly installed at the Gigafactory to enable Tesla to address production bottlenecks in the Model 3’s battery module line.
Despite its already massive size, Gigafactory 1 is less than 30% complete. Fully built, Gigafactory 1 will be the world’s largest building by physical footprint, covering 13 million square feet.
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
