News
Tesla’s next-gen Autopilot and infotainment hardware already in development: report
Tesla is not done rolling out its Hardware 3 retrofits to vehicles with HW2 and HW2.5 yet, but the company is already at work developing its next-generation hardware, according to a recent report from Chinese media. This new hardware will reportedly be produced using the 7 nm process, and it will be utilized for numerous functions, from Autopilot and Full Self-Driving to infotainment features.
A new report from China Times has noted that Tesla is working with Taiwan Semiconductor Manufacturing Co. (TSMC) to develop its next-generation hardware. Elon Musk alluded to these efforts last year during Autonomy Day, when he stated that while Hardware 3 will be revolutionary, Tesla is already working on a next-generation chip that will be around 3x better than HW3. Musk noted then that the yet-to-be-announced chip was about two years from production.
Interestingly enough, the report from the Times mentioned that the next-gen 7 nm Tesla chip will be set for mass production in the fourth quarter of 2021, over two years after Autonomy Day. The report also suggested that a trial production run for the next-generation chips could begin as early as the fourth quarter of this year, though these units will likely be used for validation.
“Broadcom and Tesla are cooperating to develop ultra-large HPC chips for automotive use. They are produced using TSMC’s 7nm process and are the first to use TSMC’s SoW advanced packaging technology. Each 12-inch wafer can only be cut out. 25 chips. Production of the new chips will begin in the fourth quarter, with an initial production of about 2,000 wafers. It is expected to enter the full mass production stage after the fourth quarter of next year,” the report read.
According to the Times, Tesla’s next-gen chip will be utilized for a variety of in-vehicle functions, including Autopilot’s driver-assist features and entertainment functions. Thanks to its efficient design, the 7 nm next-gen chip will likely be optimized for full self-driving as well, which should benefit the company’s ramp of its planned Robotaxi network.
“It is understood that the HPC chip created by Broadcom for Tesla will become the core computing special application chip (ASIC) for Tesla electric vehicles in the future, which can be used to control and support advanced driving assistance systems, electric vehicle power transmission, and car entertainment. The four major application areas of automotive electronics such as systems and car body electronic components will further support the real-time computing required for self-driving cars. The HPC chip jointly developed by Broadcom and Tesla should be an important cooperation project from electric vehicles to self-driving cars,” the Times wrote.
Tesla is yet to complete the Hardware 3 retrofit of vehicles that were bought with the Full Self-Driving suite and Hardware 2 and 2.5, with owners from areas such as Europe and Australia noting that they are yet to receive the promised HW3 unit. Considering that the company appears to be making progress on the development of its next-generation hardware, it would benefit the EV community greatly if Tesla could expedite its HW3 retrofit ramp to vehicles across the globe. This is especially notable considering that the company is making headway in its efforts to roll out a feature-complete version of its FSD suite as soon as possible.
Read the China Times‘ full report on Tesla’s next-generation hardware here.
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
