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Tesla’s near-obsessive efforts to improve efficiency shown in new ventilated seat patent
It is no secret that Tesla’s electric vehicles are among the most efficient in the auto industry. This is shown in the gap between Tesla and its competitors when it comes to battery tech and just how far the company’s vehicles can last between charges.
The Model X, for example, is Tesla’s largest vehicle available today, yet it is far more efficient than competitors from veteran automakers such as the Audi e-tron and the Jaguar I-PACE, both of which are smaller and newer than the Silicon Valley-based company’s flagship crossover. Part of this is likely due to Tesla’s proprietary battery chemistry, as well as the design and components of its vehicles themselves.
Tesla optimizes its vehicles’ efficiency in several ways, from equipping its cars with software that optimizes the battery pack to using materials that simply consume less power. The less power is consumed by the car’s systems, after all, the more power there is that could be used to turn the wheels of the vehicle.
An example of this is described in a recently-published patent titled “Vehicle Seat with Integrated Temperature-Control System.” Tesla notes in its patent that heated seats could easily be very inefficient, as they require heat to travel through multiple layers of material.
“Attempts to provide air ventilation through the seat foam are typically insufficient to remove excess heat and provide a comfortable environment for the occupant. Further, conventional heating systems are bulky, occupy space in the seat which typically requires the seat to be thicker, and are inefficient in heating the seat as the heat typically must travel through multiple layers and heats regions of the seat that the occupant does not contact. Hence, there is a need for an improved temperature-control system for vehicle seats,” Tesla noted.
The electric car maker describes how its ventilated seat patent works as follows.
“The temperature-control system is associated with at least one of a seating portion and a backrest portion of the seat. The temperature control system includes a base layer. The temperature-control system includes an intermediate layer disposed adjacent to the base layer. The intermediate layer allows fluid to flow through it. The temperature-control system includes a cover layer disposed adjacent to the intermediate layer. The temperature-control system also includes at least one heating element disposed between the intermediate layer and the cover layer. The temperature-control system further includes a fluid pump to provide the flow of fluid through the intermediate layer,” the company wrote.
Tesla explains that the design outlined in its patent provides a low-cost, low-noise, power-efficient, and effective way of cooling or heating a vehicle’s seats. The company also explained that its patent could be incorporated in any seat, regardless of size and shape.
Tesla’s patent for its “Vehicle Seat with Integrated Temperature-Control System” could be accessed in full here.
Being a patent application, it is unknown if Tesla has or will utilize the design it described in the recently published document. Yet, regardless of this, it is difficult to not acknowledge the electric car maker’s constant efforts to improve its vehicles’ efficiency. In a way, the publication of this patent comes at a rather appropriate time for Tesla too, as the company is preparing to unveil its next vehicle, a pickup truck, later this year.
Pickup trucks are by tradition not the most efficient cars on the road, and even the Rivian R1T, a vehicle designed from the ground up to be all-electric, requires a massive 180 kWh battery pack to hit 400 miles of range. That’s a range that the Raven Tesla Model S is already approaching with its 100 kWh battery pack.
At this point in the EV race, it’s evident that the efficiency of Tesla’s electric cars is top-notch, and it will likely take a while before competitors can come close. Rivals will come for the company from several fronts, including veteran automakers and young, upstart manufacturers. But by being a moving target, it will likely be a very challenging task to catch up to Tesla. Very few companies out there could be just as dedicated and near-obsessive with improvement and innovation, after all.
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
