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Tesla Model 3 production in China is opening doors to a lucrative car-sharing market
Tesla’s plans for China are ambitious, even by the company’s standards. By the end of summer, Tesla expects the initial construction of Gigafactory 3 to be complete, and by year’s end, the company plans to start Model 3 production in the facility. As the dust settles after the groundbreaking ceremony for Gigafactory 3, though, a notable opportunity for Tesla has also presented itself.
China represents the world’s largest auto market, and its EV industry is growing fast. Amidst this growth, the country has also seen the rise of car-sharing services, which provide commuters a way to get from Point A to Point B without the hassles of public transportation or the responsibilities of owning a car. An analysis from the Nikkei Asian Review last year estimated that car-sharing services in China could hire out as many as 2 million vehicles in 2020 — a notable increase from the 100,000 cars used in 2017.
Since CC Clubs, China’s first modern car-sharing company, was launched in 2010, the industry has seen a notable rise. Amidst the government’s initiatives that make car ownership trickier, the presence of car-sharing services was widely appreciated by the commuting public. Over the years, car-sharing services in the country have steadily transitioned to electric vehicles as well, augmented in part by the government’s subsidies in production and sales of EVs, as well as restrictions placed on ICE vehicles in a number of Chinese cities.
In response to this trend, Bloomberg noted that legacy automakers are launching initiatives to catch China’s car-sharing trend. Last April alone, Didi Chuxing, one of China’s most prominent ride-hailing firms, formed an alliance with auto companies such as Volkswagen AG and Toyota Motor Corp. to develop vehicles explicitly designed for car-sharing. Volvo Cars and Geely Automobile Holdings Ltd. have also launched a car-sharing feature for its new models through its joint venture, Lynk & Co.
It is this particular market that Tesla can breach with the vehicles that will be produced in Gigafactory 3. Tesla has established itself as a maker of premium, desirable electric cars in China, but its vehicles have always been weighed down by import tariffs, which hike up the cars’ prices. With Gigafactory 3 in the picture, though, Tesla would be able to produce and sell its vehicles on the same playing field as local automakers. This presents a valuable advantage to Tesla, which intends to exclusively produce affordable versions of the Model 3 and Model Y in Gigafactory 3.
Ridesharing actually forms a large part of Elon Musk’s vision for the future. In his Master Plan, Part Deux, Musk described his plan of launching a ridesharing service comprised of fully autonomous vehicles. During the third-quarter earnings call, Musk elaborated on his idea, stating that Tesla would be open to the idea of deploying its own fleet of vehicles in areas where there are few electric cars.
“Tesla will for sure operate its own ride-hailing service. There will be a company-owned fleet where there aren’t enough customer cars to be rented out. So if we find in a particular metro (where) there aren’t enough customers who are willing to add their car to the shared fleet, that’s where we’d supplant with the company-owned fleet. So that’s why it’s sort of a combination of the Uber-Lyft thing and Airbnb. We would charge something comparable to how you’d say the App Store works, or I don’t know, we’d charge 30% or something in order for somebody to add the car to the fleet. I think that’s a pretty sensible way to go.”
While Elon Musk’s Tesla Network would not be launched in China in the near future (Full Self-Driving is still under development and regulations for autonomous vehicles are yet to be decided), rolling out a simpler, more basic form of the service in the country would most likely bode well for the company. By deploying fleets of affordable, locally produced Model 3 in key cities for car-sharing, Tesla would likely be able to establish itself as a key player in China’s car-sharing market.
For now, Tesla’s entry into China’s car-sharing industry would likely depend on the progress of Gigafactory 3’s construction. With government support, there is little doubt that the facility would be completed within its target timeframe. If Tesla can keep up and establish a Model 3 assembly line on time, it might not be long before China’s car-sharing market welcomes another large, potentially dominant player.
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
