News
Rivian patent application hints at 900V fast charging capabilities
A recently published Rivian patent application titled “Configurable Battery Pack for Fast Charge” describes a method of switching between battery pack connection types to allow for both 450V and 900V fast charging without the need for specialized components. The invention was filed in both the US and internationally, and both applications just published today as US Patent Publication No. 2019/0126761 A1 and International Publication No. WO/2019/084507 A1.
Rivian’s application sets out to solve three specific issues with electric vehicle battery charging. First, increases in charging rates typically require more expensive parts that are rated for the higher current requirements. Second, electronic devices operated while a battery is charging may be impacted via increased voltage when a battery’s charging rate is increased. Finally, when a fault occurs in a battery module, a battery system often needs to be completely disconnected from any loads or the charging voltage must be changed.
The basic concept of the application purports to solve the above-referenced problems. As described, the invention claims that battery modules connected in parallel achieve a targeted maximum high voltage for an electric load (such as 450V), but when connected in series that voltage can be doubled (900V). Details of why this is advantageous are explained in the application as follows:
“A configurable battery system allows the techniques of [this invention] to be applied to an electric vehicle…to more fully utilize a battery charger’s potential [where] it is desirable to achieve a particular charging target. For example, a charging target of 150 kW at 450 V may require a current of 334 A…[and] components may need to be sourced to handle up to 400 A continuously to handle the charging….If a battery system were able to take advantage of charging at 900 V, the charging target of 150 kW could be achieved at just 167 A, which may allow for more numerous, better quality, or cheaper options for charging components. For example, a current of 167 A may allow different hardware to be used than if the current were nearer to 400 A.“
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- Figure from Rivian’s battery connection switching patent application. | Image: Rivian/USPTO
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- Figure from Rivian’s battery connection switching patent application. | Image: Rivian/USPTO
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- Figure from Rivian’s battery connection switching patent application. | Image: Rivian/USPTO
The application also includes a battery management system to determine which connection should be used at a given point and switch the connection type accordingly. This same management system is also used to detect faults in the system while charging and use the switching capability to handle them accordingly rather than disconnecting any battery loads.
The US application for this invention was filed June 8, 2018 and thus has not yet been examined. However, in the international version, an examiner has already searched for related inventions based on the first 10 claims of Rivian’s application. These claims only describe “a configurable battery system in which connection of two batteries can be switched between a series and a parallel connection”, which is not considered novel on its own.
This kind of finding is not uncommon for applications undergoing the international filing process and will be further addressed once filed in specific countries. Three other inventions were determined to be present in the application which will likely be incorporated with the first ten as the invention’s proceedings continue.
Rivian aims to be the leading expert on battery technology, and patent applications such as this one are a nod towards that innovation goal. The Michigan-based all-electric car maker runs a battery lab in Irvine, California where it has picked up several engineers from renowned supercar brand McLaren. This talent pool includes hypercar engineer Richard Farquhar who is their VP of Propulsion, leading Rivian’s battery and powertrain development.
Currently, each Rivian battery module holds 864 cells, stacked evenly on top of one another, with a thin 7mm aluminum plate with liquid coolant in between. In addition to connection testing, the company uses machine learning to adjust battery cell settings to build predictive models and tune the cells based on situations that may be encountered, such as weather conditions.
Altogether, Rivian’s aim to achieve a level of battery technology that’s reliable and optimal for the electric outdoor adventure branding it has embraced looks to be moving in a promising direction.
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
