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Tesla Model 3 adopted by German taxi operator over mass savings in fuel and maintenance costs

(Photo: Hojabr Riahi/Bild)

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Tesla Model S taxis now roam the streets of Dusseldorf as local operator Taxi Norman added two electric vehicles to its fleet, with plans to add 50 Model 3 emission-free taxis in the next few weeks.

While the company spent 105,000 euros for each of the Model S taxis and 45,000 euros each for the Tesla Model 3 units, the German operator began the switch to a green fleet not only to be more environment-friendly but to boost profits as well. With the support of the local government, Taxi Norman will only spend around 35 euros ($38) to charge each Tesla taxi a month compared to 750 euros ($830) of fuel per month for each of its diesel units. Overall, it can save the company around 36,000 euros (around $39,000) when the fuel expenditure of internal combustion taxis is compared to the cost of charging the same number of electric vehicles.

Aside from saving on fuel expenses, Taxi Norman will also save its bank account from maintenance costs.  “The cars are also much easier to care for. An old car costs us 6,000 euros ($6,600) a year. The expenses are now gone. We also save on fuel costs through cheaper electricity, ” said Managing Director Erol Norman.

Likewise, customers welcome the development. “Anyway, my drivers are totally satisfied. Customers are so enthusiastic about the driving experience in the electric car that they give higher tips. One received a tip of ten euros for a trip that cost seven euros,”  Norman added.

The investment in a greener taxi fleet is highly appreciated by the local government. Local Council member and Chairman of the Environment Committee Philipp Tacer promised to initiate taxi regulations that will further benefit the likes of Taxi Norman that invests in electric taxis. The local government plans to build taxi stops that will be exclusive for electric taxis

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Taxi Norman operates a fleet of 150 vehicles in Dusseldorf and plans to complete the switch to electric taxis by 2023.

Looking at the overall picture, Germany has an ambitious goal of cutting its greenhouse gas emissions by 40 percent compared to the 1990 levels come 2020 and one of its core strategies is to increase the share of renewable energies in total energy consumption. One crucial step in this strategy is to raise its renewable energy use in the transport sector.

While Germany delayed its goal of having one million electric vehicles on the road by 2020, the government shows great support for those who want to purchase EVs. Under a new agreement between the government and the car industry, Germany increased the subsidies for cars costing around $44,500 to around $6,700 from around $4,500. Incentives for pricier electric cars were also increased by 25%, however, EVs over 60,000 euros are not supported by the said program.

In the EU, the country is one of the frontrunners in the production of electric vehicles per capita. One can only expect a good boost in this aspect when Tesla begins the production of electric vehicles in its upcoming Gigafactory 4 in Brandenburg. The electric car manufacturer is just awaiting the last hurdles before clearing activities on the approved site begin.

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A curious soul who keeps wondering how Elon Musk, Tesla, electric cars, and clean energy technologies will shape the future, or do we really need to escape to Mars.

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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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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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