News
Tesla designs their electric vehicles from the ground up; BMW – not so much
One distinct competitive advantage often considered for Tesla is the company’s complete commitment to an electric vehicle future. Their cars don’t sacrifice anything in the design process — they’re built from the ground up to take advantage of a wholly unique electric vehicle architecture. And, according to Reuters, “Electric motors are smaller than petrol or diesel engines, so electric vehicles designed from scratch can benefit from better interior packaging which allows a bigger passenger space.”
It’s reported that, “There are two ways to make battery-driven vehicles: use a clean-sheet design like Tesla, or a traditional vehicle platform that can use all types of motor: combustion, electric or a hybrid of the two.” In contrast to Tesla, BMW’s vision for the future appears to be one that allows for an amalgam of vehicle technologies crammed into one design as opposed to committing, completely, to an electric vehicle architecture.
Above: A look back at why Tesla originally decided on a clean-sheet design approach in order to engineer an electric vehicle “from the ground up” (Youtube: Tesla)
BMW is, “betting they can mass produce new electric cars based on conventional vehicles.” Looking at their plans, “BMW is preparing to launch an all-electric version of its popular X3 off-roader by 2020, and… a new electric BMW, the i Vision Concept, [which] will use the same underpinnings as future versions of the BMW 3-Series. Electric and petrol versions will be built on the same production lines.”
According to BMW’s research and development chief Klaus Froehlich, “It is easy to build an electric car. It is difficult to earn money with it.” Reuters notes that clean-sheet design for electric vehicles does, indeed, require significant upfront investment as, “their unique design requires a dedicated production line and expensive new factories.” Therefore, BMW looks to be hedging its bets by relying on the same, antiquated production lines that pump out gas cars. And, they’re looking to pre-existing gas car architectures repurposed (and reborn) as electric cars.
On the one hand, “Froehlich said vehicle designs dedicated to only one powertrain were no longer required.” However, Carsten Breitfeld, a former electric vehicle engineer at BMW, disagrees. Breitfeld, who headed BMW’s i8 sportscar program, explains, “Trying to adapt a volume architecture to produce electric, diesel and plug-in hybrids is fundamentally flawed, because these products will be compromised.” Breitfeld points to Tesla’s clean-sheet design as the right approach: “Tesla was pathbreaking with its electric car, and that’s what everybody is seeking to develop now.”
This difference of opinion became a divisive issue, internally, at BMW. And, “Breitfeld is so convinced of this that he left his job at BMW in 2015, where he was part of a small team working on clean-sheet electric cars.” The team’s only clean-sheet EV design that made it to production was its i3. However, it turns out that BMW’s internal “i Division” team is now moving its focus away from electric cars altogether.
Does compromising EVs with gas car design characteristics epitomize a company clinging to the past? “Breitfeld sees the German carmakers’ answer to the expected surge in electric car demand – putting an electric motor in a conventional car – as a mistake. He believes it leaves the industry vulnerable to a ‘Nokia moment’: when a new player uses a transformational design to seize control of an established market, as Apple’s iPhone stole a march on Finnish mobile phone giant Nokia a decade ago.”
===
Note: Article originally published on evannex.com, by Matt Pressman
*Source: Reuters
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.
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.
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.
Elon Musk
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.
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.
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.
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.
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.
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.
Tesla confirms that work on Dojo 3 has officially resumed
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
