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Electrify America edges out Tesla Superchargers in 2021 EV Charging Infrastructure Benchmark
Last year, global engineering firm umlaut, which performs benchmarks in various industries, adapted its testing prowess to the United States’ electric vehicle market to determine which public charging network was the best in the country. The effort, which was dubbed as the inaugural 2020 USA EV Charging Infrastructure Benchmark, determined that Electrify America was by far the best public charging network in the United States.
But while the inaugural USA EV Charging Infrastructure Benchmark was notable, there was a popular network that was not included in umlaut’s first analysis: the ubiquitous Tesla Supercharger Network, which is very prevalent but not open to the public like Electrify America. This was why in this year’s USA EV Charging Infrastructure Benchmark, the global engineering firm made it a point to include the Supercharger Network in its study, even if the system had to be scored quite differently due to it being specifically designed for Tesla’s electric cars.
For the 2021 USA EV Charging Infrastructure Benchmark, umlaut performed a comparative study of the country’s fast-charging networks and rated each one using several criteria, specifically: interoperability, pricing, transparency, functionality, and availability, among others. A Tesla Model 3 and a Ford Mustang Mach-E were selected as the vehicles that would used for the study. The EV pair covered 2,100 miles over six days to test charging stations across Michigan, Ohio, Maryland, New Jersey, New York, Connecticut, and Pennsylvania.
To rank the different charging networks, umlaut opted to split its analysis into two areas: the “Digital Platform,” which includes a service’s website and mobile app, and the “Charging Location,” which includes ease of payment, amenities, and the technical performance of the system itself. The results, interestingly enough, revealed that Electrify America was still the overall winner with 702 points due to its balanced scores in the “Digital Platform” and “Charging Location” categories.
Tesla’s Supercharger Network was a second with an overall score of 649. This was quite interesting as Superchargers completely dominated the “Charging Location” metric, earning a perfect score in “Technical Performance” and high scores in the “Access and Payment” subcategories, among others. However, the Supercharger Network lost points in the “Digital Platform” category since Tesla’s website and mobile app were not as useful as those of other networks. This was, of course, partly due to the fact that Tesla’s Supercharger sessions were already integrated into the company’s vehicles themselves.
Despite the challenges presented by the Supercharger Network in this year’s 2021 USA EV Charging Infrastructure Benchmark, umlaut’s Christian Sussbauer noted that Tesla’s charging systems excel in numerous key areas.
“We had a lot of internal discussions about including Tesla Superchargers in this year’s Benchmark because we really want to create a testing system that will capture the right metrics and provide the most useful information to the EV industry. To be honest, if you asked me before we conducted the tests, I think I would have predicted that Tesla Superchargers would end up leading in total points because it’s well known that they do a great job in many aspects of fast charging. And actually, our test results show this clearly—Superchargers excel in many important areas. It’s actually a little boring to test Supercharger stations because you just plug them in, and they reliably work.”
“We were happy to find a very high level of simplicity and reliability with Electrify America this year as well. Using an EV with Plug & Charge enabled on Electrify America’s network was a very good user experience. All of the EV industry should strive to replicate that aspect of Superchargers and Electrify America/Plug & Charge. And in the end, Electrify America also has a very useful smartphone app and website that combined to put them over the top in terms of total points scored for the metrics we were measuring in 2021,” Sussbauer said.
Watch a video about the 2021 USA EV Charging Infrastructure Benchmark 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
