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Will Faraday Future’s FF 91 ever see production without a factory?
Faraday Future finally took the wraps off its planned production car, named FF 91, last night at CES 2017. What the public finally saw was a low slung, four passenger crossover style vehicle that is intended to compete with the Tesla Model X.
The California-based electric car startup says the car will utilize an industry leading 130 kWh battery that’s capable of driving 378 miles on a single charge. Powered by three electric motors — one in front and two at the rear — FF 91’s all wheel drive system will be capable of blasting off a 0-60 mph time of 2.39 seconds, making it the world’s quickest electric vehicle.
The battery, which Faraday Future claims has the highest energy density in the industry, is supplied by LG Chem. Pete Savagian, vice president of propulsion engineering at Faraday, says the FF 91 is equipped for 200 kW fast charging and can charge at a rate of 500 miles per hour.
The rear doors are hinged at the rear to provide ease of access to the interior. The doors are fitted with radar sensors that protect them from damage from cars or objects parked nearby. Those sensors also are part of the advanced self-driving system built into the car. Rear seating is said to be spacious and sumptuous.
Those are the specs but specs don’t sell cars. People buy on emotion and justify their decision later with facts. The FF 91 is an emotional car in a way that the equally capable Lucid Air is not. The Lucid sedan looks like a very nice Audi. That’s not a bad thing; it just means it doesn’t have a lot of visual excitement. No car appeals to every taste, of course, but the FF 91 does have curb appeal. It is visually attractive and mimics the body lines of BMW’s i3 and i8 — thoroughly modern without being too bizarre.
Richard Kim, Faraday Future’s head of design, says much of the car was designed using virtual reality technology. “If you want to have the most progressive, forward thinking vehicle design, you have to have use the most progressive and forward thinking methodologies,” Kim told Automotive News during a tour of the company’s headquarters in Gardena, California late last year.
Faraday Future says owners will be assigned an FFID — a personal identification code that will allow any Faraday Future car to configure itself to the personal preferences of the owner. That raises a significant point. Will there ever be enough Faraday Future cars on the road to make FFID relevant? The company is said to have serious financial difficulties. Work on its factory in North Las Vegas has been shut down for almost two months and senior company executives have left the company in the past few weeks.
Not to worry, Nick Sampson, senior vice president of R&D and engineering, told the audience Tuesday night in Las Vegas. Brimming with confidence, he assured those in attendance that Faraday Future is in the middle of a “multifaceted disruption” that will “reformat the auto industry.” Then he added, “Despite all the naysayers and the skeptics, we will persist,” before adding that the company’s “clean sheet” gives it an advantage over traditional automakers. Maybe so. But with the first cars scheduled to be delivered in 2018 and no factory yet in existence, there are plenty of skeptics.
Are Faraday Future and the FF 91 ready for prime time? Interested parties can reserve a car now or pay a $5,000 fee to secure a “priority reservation” for one of 300 “Alliance Edition” cars. With the company teetering on the edge of financial collapse, the CES reveal is seen by many as a Hail Mary event. If the reaction to the FF 91 is positive, new investors may be brought on board. But without fresh funds, it is hard to see how the company can survive long enough to be part of CES 2018.
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
