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Tesla Model S, X MCU controlled test shows new media control unit is 2x faster

[Credit: My Tesla Adventure/YouTube]

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Tesla’s new Media Control Unit for the Model S and Model X was recently put through a controlled test against the company’s old MCU. The video, recently uploaded by My Tesla Adventure on YouTube, showed that the new MCU was around twice as fast as the NVIDIA Tegra-3-powered units on Tesla’s older vehicles.

The controlled test covered four different features of the media control unit — destination navigation, vector map responsiveness, dash navigation button speed, and of course, the built-in web browser. Both vehicles were hooked up to the same Wi-Fi network, putting the electric cars on even ground.

The first test involved destination navigation, with the Tesla enthusiast instructing both cars to navigate to Tesla’s delivery center in Marina Del Rey, CA. The new MCU was able to calculate the route, suggest charging stops, and set the destination in 9.27 seconds. The older MCU unit displayed the same data in 20.73 seconds.

Zooming in and out of the electric cars’ vector maps was roughly twice as fast in the newer MCU, with the newer unit being able to zoom out to the US map and zoom in back to the vehicle’s location in 27.97 seconds. The older MCU took 54.59 seconds to accomplish this task. My Tesla Adventure, however, noted that the true difference-maker with the old and new MCUs was the responsiveness of the updated media control unit.

“When testing the manual map navigation with vectoring, I noticed that it was hard to navigate with the old MCU because of the delay in response times from my finger inputs and the responsiveness of the screen. So it resulted in me kind of sliding all over the place on the map and going to places I didn’t intend to go.”

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The difference in the old and new MCU’s speed when navigating through the dash buttons was less prominent. As could be seen in the video, the new unit was slightly faster than the new MCU, but the older media control unit was still fast and responsive. The cars’ web browser, however, showed the biggest difference in performance and speed. Loading Tesla.com from Google.com took the new MCU 12.10 seconds. The older media control unit, however, took a whopping 48.32 seconds before it was able to load the official Tesla website.

As we previously noted in a report, a Tesla spokesperson has confirmed with Teslarati that hardware changes to the onboard displays of Model S and Model X vehicles have been initiated by the company as part of Tesla’s continuous effort to introduce hardware and software improvements to its fleet over time. 

The improvements to the car’s internet browser are quite noteworthy, especially since it has been teased by Elon Musk in the past. Back in December, Musk admitted that the Model S and X’s browsers were indeed “terrible,” and assured the Tesla community that “major browser upgrades” would be rolled out to the company’s fleet of vehicles in a few months.

Watch the controlled test of Tesla’s old and new MCUs below.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla job listings hint at 24/7 Robotaxi operations in several states

The job opening is active in several regions, including Austin, Palo Alto, Orlando, Tampa, Doral, Houston, Dallas, Tempe, and Las Vegas, as of writing.

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Credit: Tesla

Tesla seems to be laying the groundwork for a 24/7 Robotaxi service across several states. This was hinted at by a substantial number of interesting Robotaxi-related job listings that have been posted on the company’s Careers website. 

24/7 Robotaxis and Night Shift Specialists

A look at Tesla’s official Careers website shows that the company is currently looking for multiple Robotaxi Fleet Support Specialists for the Night Shift. The listing itself describes a role focused on maintaining vehicles for “smooth 24/7 operations,” hinting at the company’s next steps in its efforts to ramp its autonomous ride-hailing service across several U.S. cities.

“We are looking for a highly motivated and passionate individual to join our Autopilot Fleet Team. As Fleet Support Specialist, you will play a crucial role in ensuring that all our vehicles are in excellent condition at all times, supporting smooth 24/7 vehicle operations,” the job listing read. 

The job opening is active in several regions, including Austin, Palo Alto, Orlando, Tampa, Doral, Houston, Dallas, Tempe, and Las Vegas, as of writing. This suggests that Tesla really is looking at a potential multi-state rollout strategy for its Robotaxi service, likely in the near future.

Musk targets major Robotaxi fleet growth by year’s end

Tesla’s Robotaxi pilot is still in early stages, but CEO Elon Musk recently hinted that substantial updates are coming soon to the Austin and Bay Area programs. Speaking on the All-In podcast, Musk said Tesla aims to expand its Robotaxi fleet to 500 vehicles in Austin and 1,000 in the Bay Area before the end of 2025.

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“We’re scaling up the number of cars to, what happens if you have a thousand cars? Probably we’ll have a thousands cars or more in the Bay Area by the end of this year, probably 500 or more in the greater Austin area,” Musk said. 

With just two months left in the fourth quarter, Tesla’s AI team is facing a busy ramp-up period that could mark the company’s most ambitious real-world test of its autonomous driving program yet.

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Tesla and Samsung SDI in talks over new US battery storage deal: report

The update was related by industry sources and initially reported by South Korean news outlets.

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Credit: Tesla Megapack

Recent reports have suggested that Tesla and Samsung SDI are in talks over a potential partnership to supply batteries for large-scale energy storage systems (ESS). 

The update was related by industry sources and initially reported by South Korean news outlets. 

ESS batteries to be built at Samsung’s Indiana plant

As noted in a report from Korea JoongAng Daily, the demand for energy storage systems has been growing rapidly in North America, thanks in no small part to the surge in AI investments across numerous companies. With this in mind, Tesla has reportedly approached Samsung SDI about a potential battery supply deal.

The deal is reportedly worth over 3 trillion Korean won (approximately $2.11 billion) and will span three years, according to The Korea Global Economic Daily. A battery supply deal with Samsung SDI could make sense for Tesla as the company already has a grid-scale battery, the Megapack, which is perfect for industrial use. Samsung SDI could simply supply cells for the EV maker.

Production of the batteries would reportedly take place at Samsung SDI’s joint venture factory with Stellantis in Indiana, which is currently under construction. Samsung SDI recently announced plans to use part of that plant’s EV lines to produce cells for ESS, with a targeted capacity of 30 GWh by the end of next year.

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Tesla and Samsung’s partnership

At present, only a handful of manufacturers, including Korea’s LG Energy Solution, Samsung SDI, SK On, and Japan’s Panasonic, are capable of producing energy storage-scale batteries domestically in the United States. A Samsung SDI official issued a comment about the matter, stating, “Nothing has been finalized regarding cooperation with Tesla.”

The possible energy storage system deal adds another layer to Tesla’s growing collaboration with Samsung, which is already in line as a partner in the upcoming production of Tesla’s AI5 and AI6 chips. Early sample manufacturing of the AI6 is expected to begin in South Korea, with mass production slated for Samsung’s Texas-based Taylor foundry when it starts operations.

The AI6 chip will power Tesla’s next wave of high-volume projects, including the Optimus humanoid robot and the autonomous Cybercab service. Musk has called the partnership with Samsung a “real collaboration,” adding that he personally plans to “walk the line” at the Taylor facility to speed up progress.

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Elon Musk

Elon Musk maps out Tesla’s AI chip iterations, and they’re pretty nutty

Based on the CEO’s post, it appears that Tesla is already exploring generations as far as AI8.

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Elon Musk recently revealed new details about Tesla’s next-generation AI5 chip while hinting at even more advanced iterations of its custom silicon. 

Based on the CEO’s post, it appears that Tesla is already exploring generations as far ahead as AI8.

Elon Musk teases Tesla’s chip development

In his X post, Musk stated that he had just completed a design review with Tesla’s chip engineers in California and Texas for the company’s upcoming AI5 chip. This was not surprising at all, considering that Musk has been discussing AI5 for quite some time now. What was surprising, however, were his comments that followed.

“And AI6 and AI7 will follow in fast succession. AI8 will be out of this world,” he wrote in his post, adding in a follow-up that his chip design review would be continuing the next day, followed by an Optimus demo review.

Considering that Tesla is currently rolling out a Robotaxi service using cars that are equipped with AI4 chips, some industry watchers have expressed interest in why the company is developing several generations’ worth of silicon for the company’s products. Inasmuch as AI4 might be enough for FSD and the Robotaxi rollout today, however, products such as Optimus might benefit from a more advanced chip. 

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Even AI5 will already be insanely impressive

During Tesla’s Q3 2025 earnings call, Musk described AI5 as “an amazing design” that represents a full evolution from the AI4 chip currently used in its vehicles and data centers. The new hardware, which will be manufactured by both Samsung in Texas and TSMC in Arizona, is expected to deliver up to 40x performance gains compared to its predecessor.

Tesla’s in-house engineering team redesigned the chip from the ground up, removing traditional components such as GPUs and image signal processors to improve efficiency and power måanagement. Musk said the chip now fits within a half-reticle design, calling it “a beautiful chip” into which he’s “poured so much life energy.”

Musk confirmed Tesla’s plan to create an oversupply of AI5 chips that could power not only vehicles but also humanoid robots and data centers. He emphasized that Tesla’s vertically integrated approach, designing both hardware and software, gives it a unique edge in scaling AI applications.

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