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Tesla’s partner IDRA shares insights on the Cybertruck Giga Press’ potential
Tesla’s next generation of vehicles will be built on the back of the Giga Press, a machine capable of producing massive, single-piece casts for critical components like an electric car’s rear underbody. In a recent video, IDRA, the company building the house-sized die-casting contraptions, shared some insights on the daunting machine’s development, its advantages, and its upcoming iterations like the 8,000-ton Giga Press that will be used for the Tesla Cybertruck.
In a recently posted video, IDRA General Manager Riccardo Ferrario explained that the Giga Press is specifically designed to be as environmentally-conscious as possible. Developed over several years, the Giga Press could provide automakers with a number of key advantages, such as less investments, less handling of parts, better quality, less energy consumption, and lower CO2 emissions. Consequently, these are things that are incredibly important to a company like Tesla, which has established itself as the frontrunner in the sustainable transportation movement.
#GigaBerlin #Gigapress
An important statement from the IDRA 🇮🇹 Group General Manager.
" what is GIGAPRESS and wich are GIGAPRESS innovative goals"
2 of them are already built on the GIGABERLIN.https://t.co/IWtPOzuQhT pic.twitter.com/pscXGmqm27— Gigafactory Berlin News (@Gf4Tesla) April 1, 2021
Much like Tesla’s electric car lineup, the Giga Press family is only getting started. As explained by the executive, IDRA is still looking to expand the Giga Press family, and recently, the company was able to do just that. Just last month, Ferrario remarked that IDRA received the first order for its largest machine yet—an 8,000-ton Giga Press specifically designed to produce parts for larger vehicles like pickup trucks and SUVs.
The IDRA executive did not name its customer for the order, though all signs are pointing to Tesla, a company that has already purchased numerous 6,000-ton Giga Presses from the Italian company. Tesla CEO Elon Musk has also mentioned that the Cybertruck’s rear underbody would be produced by an 8,000-ton die-casting machine, which is significantly larger than the Giga Presses used for the Model Y.
“We have increased our range of machines to encompass also another world first—an 8,000-ton die-casting press. And it is with great pride that I can announce, we have done it. It’s no longer just a dream or drawings on paper. It’s now reality. A reality that IDRA and the team behind the Giga Press have been able to execute in a very short space of time following the very high demand of our customer from all around the world.
“The first-ever order for an 8,000-ton machine has now been received in March 2021. We are so excited about taking the idea of the Giga Press a step further and applying it directly to the SUV and truck market, which is an area, until now, not fully explored. Full electric trucks for transportation of goods used by companies such as DHL or Amazon can enlarge the market of Giga Press,” the IDRA General Manager said.
Tesla is currently putting the pedal to the metal on the construction of Gigafactory Texas, where the Cybertruck would be produced. As such, IDRA would have to put in a lot of effort to ensure that it can deliver its largest machine to date on time. If the executive’s message is any indication, however, it appears that IDRA is just as excited to push the limits of the die-casting industry just as much as Tesla is eager to push the limits of electric cars. This suggests that the 8,000-ton Cybertruck Giga Press might make it to Giga Texas at just the right time for the start of the all-electric pickup truck’s production.
Watch IDRA’s latest video on its Giga Press machines in the video below.
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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
