New images and details surrounding Tesla’s most robust self-driving computer, or Hardware 4 (HW4), were shown today, revealing additional cameras, a reintroduction of potential radar systems, and more.
Tesla released some details about HW4 during last year’s AI Day event. Still, additional specifications were revealed today by Greentheonly, a Tesla hacker who said the computer came from a Model X vehicle. Green said that Tesla has already started building vehicles with the new computer, but they are not yet being delivered.
I am sure you are all eager to know more about HW4, so I am going to show you the refreshed car computer from a Model X. Just don’t tell anybody you saw it, because it’s really a secret still.
This unit made appearance at the EPC about a month ago, but the picture was hidden. pic.twitter.com/7AENqP6h2Z— green (@greentheonly) February 15, 2023
Right off the bat, green confirms what CEO Elon Musk said during the most recent earnings call: retrofits of HW4 into older vehicles will not be possible. While green shows the form factor of the new computer is completely different than past ones, even the most recent applications that were installed in Plaid vehicles, the new HW4 is simply not compatible.
Musk said during the Q4 Earnings Call in late January:
“But it is the cost and difficulty of retrofitting Hardware 3 with Hardware 4 is quite significant. So it would not be, I think, economically feasible to do so.”
Many of the specifics of HW4 are extremely technical, but it appears Tesla aimed to simplify the infotainment system to void a GPU daughterboard. The entire unit is smaller and sleeker, but the RAM, NVMe (nonvolatile memory express), CPU, and GPU are all identical to past units.
Green adds:
“A lot less improvement than many hoped for. Still Samsung Exynos-IP based. Bumped CPU cores from 12 to 20 (5 clusters of 4 cores each), maxing at 2.35GHz, idle at 1.37GHz Number of TRIP cores increased from 2 to 3, 2.2GHz max freq All x2 since there are two SoCs per board.”
HW4:
A lot less improvement than many hoped for.
Still Samsung Exynos-IP based.
Bumped CPU cores from 12 to 20 (5 clusters of 4 cores each), maxing at 2.35GHz, idle at 1.37GHz
Number of TRIP cores increased from 2 to 3, 2.2GHz max freq
All x2 since there are two SoCs per board pic.twitter.com/eeHXg5x0aL— green (@greentheonly) February 15, 2023
Perhaps one of the most notable differences are there are now 12 “fully-populated camera connectors,” with one being utilized as a spare. The cameras are also labeled, and some seem to indicate that cameras will be added to the front and rear bumpers. “There’s a huge blindspot up front on legacy cars up front,” green notes.
What’s SVC you might wonder? According to EPC, SVC is bumper. So I’d guess these are bumper cameras. There’s a huge blindspot upfront on legacy cars up front (welcome to the legacy camp, Plaid owners!), so front bumper camera and two in the (rear?) bumper corners for x-traffic pic.twitter.com/sixzNo7qII
— green (@greentheonly) February 15, 2023
This would make sense, considering Teslas currently utilize eight cameras, with the additional three connectors making way for the two rear and one front camera that will be added with the new hardware.
Another interesting detail found by green was Phoenix radar, which is a rumored 4-dimensional radar that will help extend current reach by double. Tesla wanted to move away from radar, opting for a completely camera-based approach, which it did with the introduction of its Vision model.
Musk said during the Q1 2021 Earnings Call:
“When your vision works, it works better than the best human because it’s like having eight cameras, it’s like having eyes in the back of your head, beside your head, and has three eyes of different focal distances looking forward. This is — and processing it at a speed that is superhuman. There’s no question in my mind that with a pure vision solution, we can make a car that is dramatically safer than the average person.”
However, radar and a radar heater were both seen in vehicle coding. The Phoenix radar appears to be a type of forward radar that will be installed in HW4 vehicles.
Perhaps more details will be shed regarding HW4 in the coming weeks, especially as Tesla’s Investor Day is approaching and will take place on March 1.
I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.
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
