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Tesla's focus on batteries is being proven right, and other EV makers are paying the price

(Credit: Tesla)

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As more and more automakers begin the transition to electric vehicles, it is becoming increasingly apparent that Tesla’s intense focus on batteries was right all along. Tesla’s strategies have always been criticized and examined under a microscope, and the company’s decision to build Giga Nevada, a facility dedicated to battery production for the Model 3, was no exception. But as veteran automakers like Jaguar and Mercedes-Benz are now finding out, investing tons of effort and resources on batteries matters a lot.

Tesla is among the industry’s most vertically-integrated companies. Similar to Apple’s consumer electronics and SpaceX’s rockets, most of what goes inside a Tesla electric car is designed and built in-house. Tesla is so serious about this; the company actually made its own seats. The same is true for the electronics that goes inside every Tesla. They are so different and superior to off-the-shelf components that teardown expert Sandy Munro compared them to the electronics of a literal fighter jet

Tesla’s 2170 battery cells. (Credit: Tesla)

A lot of Tesla’s resources are dedicated to its battery improvements. Teslas stand tall among their rivals in the EV marketplace today primarily due to their efficiency and range, and this is made possible by the company’s battery tech. The company is not showing any signs of stopping too. Tesla has acquired several companies that could further improve its batteries, such as Maxwell Technologies and Hibar Systems. The electric car maker is even looking to produce its own batteries, with reports indicating that work is already underway to develop custom cells for Tesla’s next generation of vehicles and products. 

It’s a difficult pill to swallow, but veteran automakers have reached a point where they must honestly admit that when it comes to batteries, Tesla has a notable lead. The very representation for this idea is the Porsche Taycan, an otherwise excellent high-performance electric vehicle whose ~200-mile EPA range is an Achilles Heel. Porsche, similar to other EV makers, opted for off-the-shelf batteries for the Taycan, and it shows. The car performs beautifully, and it’s arguably the only EV that can beat a Model S fair and square in a race, but it simply does not have the range or the efficiency to beat Tesla’s flagship sedan on all metrics.

It’s not just about the battery tech and specific cell chemistries either. Over the years, Tesla also had the foresight to secure ample battery supply for its vehicles and products. From Panasonic, which has been Tesla’s partner since its early days, to CATL, which is the company’s partner for Giga Shanghai, the electric car maker has made careful preparations to ensure that its vehicles and products will always have enough batteries. Other EV makers are not as fortunate. 

The new Mercedes-Benz EQC. (Credit: Mercedes-Benz)

This is one of the reasons why the Jaguar I-PACE, one of the most decorated vehicles in modern auto history, actually stopped production for a week. Just like the Taycan, the I-PACE is actually a pretty decent EV, with its plush interior and aggressive exterior. But behind the I-PACE’s looks lies off-the-shelf batteries that are also used by other companies. This meant that when LG Chem could not supply enough cells for the vehicle, Jaguar had no choice but to stop the vehicle’s production temporarily. 

The Mercedes-Benz EQC is in the same boat. Once deemed as a potential “Tesla Killer,” the EQC’s production target for 2020 was halved by the German automaker from 60,000 vehicles to just 30,000 units. The reason was something that is pretty familiar: Daimler just could not secure enough batteries. Even companies like Dyson and Aston Martin, both of which had plans to make EVs, eventually suspended their efforts to enter the electric car market. 

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Tesla is not a perfect company by any means. CEO Elon Musk would be the first to admit that the company has made many mistakes over the years. But for all its delays and production issues, there is very little that can be criticized about Tesla when it comes to its batteries and the company’s foresight in improving them and securing their supply for years to come.

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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Elon Musk

Tesla confirms that work on Dojo 3 has officially resumed

“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.

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(Credit: Tesla)

Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage. 

Tesla CEO Elon Musk confirmed the update in a recent post on X.

Tesla’s Dojo 3 initiative restarted

In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.

“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X. 

Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications. 

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Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.

Tesla’s AI roadmap

Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures. 

He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.

Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected. 

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Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online

Elon Musk shared his update in a recent post on social media platform X.

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Credit: xAI

xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.

Elon Musk shared his update in a recent post on social media platform X.

Colossus 2 goes live

The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world. 

But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.  

Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.

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Funding fuels rapid expansion

xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.

The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.

xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.

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Elon Musk

Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence

The Tesla CEO shared his recent insights in a post on social media platform X.

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Credit: Tesla

Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk. 

The Tesla CEO shared his recent insights in a post on social media platform X.

Musk details AI chip roadmap

In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle. 

He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.

Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.

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AI5 manufacturing takes shape

Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.

Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.

Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.

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