Much of the action where today’s electric vehicle movement is taking hold appears to be cities located in China and Norway. But what about cities in the United States? CBS News points out that, “[US] Cities this summer banded together to pledge to cut carbon emissions as a counter to President Trump’s withdrawal from the Paris climate accord. Encouraging electric vehicle use is one of the measures already underway.”
Electric vehicle fever is catching on in many cities all across the US, including Atlanta, “Los Angeles, San Francisco, San Jose and New York/Newark… according to a 2017 U.S. Department of Energy report.” And which electric cars are you most likely to see on America’s city streets? It turns out, “Tesla has sold the most electric vehicles in the US though September.”
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Above: Public charging station density across US cities; Note: these figures don’t include Tesla’s “Supercharger” or “Destination charger” networks, the company’s own proprietary charging infrastructure (Source: CBS News via Department of Energy)
One of those cities just made policy changes that help encourage electric vehicle adoption. “Atlanta this [past] week became the latest city to pass an ordinance that requires 20 percent of the spaces in all new commercial and multifamily parking structures be ‘EV ready.’ It also requires new residential homes be wired to easily install EV charging stations.” These actions should help the city of Atlanta offset recent changes at the state level (see below) that have negatively impacted EV sales.
Above: Georgia has made some controversial policy changes negatively impacting electric vehicle adoption (Youtube: WSB-TV)
Aside from these recent setbacks in Georgia, there have been examples of positive state level policies in favor of electric vehicles. To that end, “On the state level, 45 states and Washington D.C. offered incentive for hybrid and other electric vehicles, including tax credits, rebates, fleet acquisition goals or exemptions from emissions testing as of September, according to an analysis from the National Conference of State Legislatures.”
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Above: Plug-in electric vehicle registrations per 1,000 people by state, 2016 (Source: CleanTechnica via U.S. Department of Energy analysis, IHS/R.L. Polk, Population Profile, September 2017)
Pulling the lens back a bit to the state level, CleanTechnica reports: “The top state in the US during 2016 [related to] plug-in electric vehicle concentrations was California… It had a plug-in electric vehicle concentration nearly double that of the runner-up, and effectively at least 3 times that of most other states. To be more specific, during 2016, there were only 6 US states with plug-in electric vehicle (PEV) registration concentrations higher than 2 units per 1,000.” Those 6 US states included California, Hawaii, Washington, Oregon, Vermont, and Georgia.
So what can we conclude from this valuable data? In summary, key takeaways are: “the presence of support infrastructure and programs (charging stations, public outreach programs, lobbying, etc.) and financial purchase incentives for plug-in electric vehicles work.” To that end, for cities and states looking to “spur increased electric vehicle sales, the path is clear.”
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Note: Article originally published on evannex.com, by Matt Pressman
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.

