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The case for Tesla to operate multiple car factories in the US has never been stronger
The recent controversial events surrounding Tesla and its main electric vehicle production plant in Fremont, CA, is one that will likely have repercussions on the company’s future. But beyond the controversy, the recent events surrounding Fremont highlight one key point: it is in Tesla’s best interests to ensure that its vehicle production facilities will no longer be exclusive to one state.
The Fremont factory and Alameda County’s insistence on keeping it closed has resulted in Tesla filing a case against the county. So far, the mayor of the City of Fremont and the City Palo Alto have sided with Tesla, and Elon Musk has remarked that the company’s HQ and future projects will be relocated to other sites, such as Gigafactory Nevada and a Texas site. In the midst of this all is a County Public Health Officer who has reportedly ignored Tesla’s efforts at proposing a reopening plan for the Fremont factory.
What is pretty ironic is the fact that among the carmakers currently operating a production facility in the United States, Tesla is arguably the most experienced in dealing with the COVID-19 pandemic. The electric car maker has successfully dealt with the virus in Shanghai, and following a government-mandated shutdown, Tesla was able to return to regular operations gradually. Once reopened, Gigafactory Shanghai adopted a series of serious anti-coronavirus strategies that helped the company’s workers stay safe despite the pandemic. Tesla intends to do the same in Fremont, if not more.
For now, reopening the Fremont factory will likely be the result of pressure on the county or a serious stroke of fortune that would allow Tesla and the County Public Health Officer eye-to-eye. Each of these requires more than its own stroke of luck, but it doesn’t necessarily have to be. That is, if Tesla has multiple electric vehicle production facilities in the United States. If Tesla has another factory in the US located in an area that is more supportive of the company, it would not have to go through legal means to reopen its primary production facility.
Tesla’s next facility will likely be located in Texas, and so far, Sen. Ted Cruz has stated on Twitter that the state is fully behind the electric car maker. Texas actually makes sense for Tesla, especially considering that SpaceX, Musk’s private space venture, already has a facility in Boca Chica. If speculations prove right, Tesla can very well be building its first Terafactory in the state, which will be making the Cybertruck, and perhaps other vehicles like Model Y and Semi as well.
Tesla is now at a point where it is producing vehicles that are not intended for a small demographic of car buyers. With the advent of the Model 3 and the Model Y, as well as the upcoming Cybertruck, Tesla is taking on the mainstream market, an industry that counts its production numbers in the hundreds of thousands. This means that the company is now poised to meet the juggernauts of the auto industry like General Motors and Volkswagen head-on, provided that it has the resources to do so. It just has to make sure that its vehicle production activities could not be stopped just because of a single factory shutdown.
With this in mind, it may be a good idea for Tesla to expand its vehicle production capabilities far beyond the Texas Gigafactory/Terafactory. Tesla’s vehicle lineup does not end with the Cybertruck, the Roadster, and the Semi, after all. References to a Tesla van have been stated before, and Tesla has also hinted at a vehicle that’s smaller and more affordable than the Model 3. The more successful Tesla gets, and the more advanced the company’s Full Self-Driving suite becomes, the healthier the demand for Tesla’s vehicles will be. To accomplish this, it may be a good idea to look at legacy auto’s playbook for once, and start establishing car factories across the United States.
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
