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Tesla gets J.D. Power Home Charging Experience Award for 3rd consecutive year
Electric vehicles are becoming more mainstream, and amidst this trend, home electric car charging solutions have only become more prominent. As per the findings of data analytics firm J.D. Power in its 2023 US Electric Vehicle Experience (EVX) Home Charging Study, about 68% of EV owners today utilize a Level 2 permanently mounted station.
J.D. Power noted that Level 2 portable and Level 2 permanently mounted charging stations are utilized by 83% of EV users, though satisfaction among EV owners saw a decline from 2022 to 2023 due to a variety of factors, such as charging costs and charging speeds. For its study, J.D. Power measured EV users’ satisfaction across eight metrics: fairness of retail price; cord length; size of charger; ease of winding/storing cable; cost of charging; charging speed; ease of use; and overall reliability.
The findings of the study showed that among the home charging systems in the market, Tesla’s Level 2 permanently mounted charging solutions are the best. This marks the third consecutive year of Tesla’s dominance in the sector.
Tesla’s Level 2 home charging system scored 790 out of a 1,000-point scale, which is representative of the electric car maker’s vast experience in the EV sector. Following Tesla is GRIZZL-E, which scored 757 points, and Emporia, which scored 754. It should be noted that the segment’s average stood at 740 points as per the study.
Following are other key findings of J.D. Power’s study, as per a press release from the data analytics firm:
- As electricity rates increase, educating owners becomes more critical: Just 51% of EV owners say they are knowledgeable about utility company programs for charging their vehicle at home, which is up slightly from 49% a year ago.
- Scheduling charge time increases satisfaction: More than one-third (35%) of owners say they always schedule a time to charge their vehicle at home, while 49% do not use any scheduling. Among those choosing to schedule home charging via an app, satisfaction is highest when using the vehicle mobile app (739) rather than the charger mobile app (706).
- Geography makes a difference with charging satisfaction: Overall satisfaction with Level 2 home charging is lower in all nine regions in this year’s study than a year ago, with New England having the largest decline of 27 points. The Level 2 satisfaction gap between regions is now 96 points (+20 from a year ago), ranging from a low of 689 in the New England region to a high of 785 in the East South Central region.
- Home charging game changer: Satisfaction improves 179 points when moving up from a Level 1 portable charger (561) to a Level 2 permanently mounted charger (740). Across the eight factors in the study, owner satisfaction is higher in seven factors once the switch is made to a Level 2 permanently mounted charger, especially with charging speed (+373 points). A majority (60%) of current Level 1 users say they are likely to upgrade their home charging station to either a Level 2 permanently mounted charger or a Level 2 portable unit.
Brent Gruber, executive director of the EV practice at J.D. Power, highlighted the importance of home charging systems to the overall electric vehicle experience. “Whether you’re an automaker, dealer or utility company participating in the EV ecosystem, improving the EV owner experience with respect to home charging should be a common goal shared by all.
“There are programs available today that will help EV owners with the startup costs, such as installing or upgrading to a faster Level 2 charger. There are also programs designed to save EV owners money with the ongoing costs of charging their vehicle, like scheduling to charge during the most affordable time of the day. However, J.D. Power sees that there is little awareness and utilization of these benefits. As the EV marketplace continues to grow, brands that help owners take advantage of these offerings will be in a much better position down the road,” he said.
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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
