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EV adoption spurs updated guidance on parking structure design
As electric vehicles (EVs) become increasingly common on roads around the world, many infrastructural changes will be needed to accommodate them. One example includes the design of parking garages, which some say will require updated fire safety protocols and additional modifications to accommodate the heavy weight of EVs.
The United Kingdom’s Institution of Structural Engineers released a new design guidance for parking garages earlier this year, pointing out a broad range of topics related to the structures, from EV weight, charging access and reduced noise levels to fire safety considerations (via CNBC). The guidance includes suggestions for the design of garages that are multi-story, underground or simply located inside offices or residential buildings.
Perhaps the most pressing topic included in the guidance for parking garages — called multi-story car parks in the U.K. — is the battery hardware used in EVs, which makes them much heavier than internal combustion engine (ICE) vehicles. With increased range models and a wider span of vehicle classes, EV weights will likely continue getting heavier in the future.
“This extra load and the changing fire safety requirements are all considerations not just for new car parks, but for existing structures too,” the institution writes in the report.
According to the group, average vehicle weights have increased from 1.5 metric tons (3,307 pounds) in 1974 to almost 2 metric tons (4,409 pounds) this year. As one example, Tesla’s forthcoming Cybertruck is a stainless steel behemoth, expected to weigh somewhere between 5,000 and 8,000 pounds (2.3 to 3.6 metric tons).
Institution fellow and co-author of the guidance Chris Whapples also notes that some newer EVs are well over 3 metric tons (6,614 pounds).
“The thing to bear in mind is that the ones that cause the damage, if you like, are the heavy vehicles — not the vehicles that are heavier than they were 40 years ago but still within the capacity of the design for car parks,” Whapples explained in an interview with CNBC. “We’re seeing increasing numbers now of SUVs, large executive cars — both fossil-fueled and battery ones — and pickup trucks, which are immensely heavy.”
Whapples details a handful of potential solutions for heavy vehicles, primarily including the need to retrofit older garages with increased structural support, either in specific spots that are determined to be weaker or in their entirety. He also notes that heavy vehicles could stay on ground floors to park, and garages could even screen the weights of cars as they enter.
“If one pickup is significantly overloaded and that car park is weak, that’s a potential disaster waiting to happen,” Whapples added. “We said, as an industry, we must actually check our car parks out and make sure that that’s not going to happen. Because what we want is the public to maintain confidence in our car parks and structural engineers.”
Another top concern detailed in the guidance was improving fire safety protocols in parking garages. Whapples notes that fire risks aren’t exclusive to EVs, adding that gasoline cars can also start fires and make situations more complicated. While EV fires aren’t considered more common than ICE vehicle fires, they can be especially tough to put out, he explains.
“To actually extinguish an EV fire is very, very difficult — particularly if the battery is on fire, because you’ve got so much energy that’s locked in,” Whapples said.
As for potential solutions, Whapples says that sprinkler systems could be an important way to mitigate fire spread, especially in underground car parks.
“Although the sprinkler system will not put out the car fire, it will reduce the rate of spread within the car park, so it’s constantly … ‘quenching’ the car next to the one that’s on fire, and stopping that one from catching fire,” Whapples explains.
All of these and more points will need to be considered ahead of mass EV adoption, both for existing garages and newly built construction. The International Energy Agency (IEA) expects EVs, buses, vans and heavy trucks to reach as many as 145 million units globally by 2030, though government ramp-up efforts could boost that number even more. In 2022, 10 million EVs were sold, including plug-in hybrids and battery-electric vehicles.
The discussions come ahead of Tesla’s initial release of the Cybertruck, which has been widely discussed for its large size, among other details. If many EVs are physically larger than ICE vehicles in the future, it could also require garages to be built with similarly larger parking spaces. Tesla has rolled out some wider and longer parking spaces at its Supercharger stations for the Cybertruck, a move that may be necessary for all parking structures down the road.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
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
