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Tesla locks in world’s largest cobalt supplier Glencore for Gigafactory Shanghai, Berlin
Tesla has secured a deal to purchase 12 million pounds of cobalt annually from Glencore, a Swiss-based company that is recognized as the world’s largest miner of the metal. The partnership will keep Tesla away from a possible supply squeeze of cobalt as more automakers aim to break into the EV sector in the future.
The deal will supply both Giga Shanghai and Giga Berlin with enough of the metal to avoid a shortage in the future. With the electric vehicle sector continuing to grow, and demand for Tesla vehicles expanding in both Europe and Asia, the company has struck a deal that will alleviate any supply shortage concerns in the coming years.
The terms of the deal are unknown, and neither company responded to inquiries from Bloomberg, which first reported the partnership between the electric car maker and the cobalt supplier.
In both China and Europe, popular automakers like Volkswagen, BMW, and BYD are preparing for a future with electric transportation. In 2017 and 2018, a shortage in cobalt caused prices to spike, which seems to have given Tesla CEO Elon Musk the indication that his company must begin developing a battery that was less reliant on the metal. While Tesla continues to work on battery cells that are free of cobalt, the deal with Glencore ensures that the electric car maker will not be in short supply in the foreseeable future.
Tesla had been discussing the terms of a deal with Glencore since mid-January. However, Glencore’s automotive supply chain goes past the Silicon Valley-based automaker. The company signed an agreement with BMW in April 2019, and also with Korean battery manufacturer SK Innovation in December 2019.
Tesla is looking to ramp up production outside of the United States as demand continues to increase across the globe. With the company planning to begin a steady push of the Model Y in Europe and Asia in 2021, Tesla’s battery supply chain must be efficient and dependable to ensure a steady flow of reliable electric vehicles.
Giga Shanghai is currently producing vehicles at a run-rate of 200,000 a year, with production expected to increase when Tesla completes phase 2A of the facility. The completion of the second phase in China will introduce the Model Y to the largest automotive market in the world.
Meanwhile, Giga Berlin is still roughly a year away from its initial production push, which will begin with the Model Y. However, Tesla anticipates an annual production rate of 500,000 electric cars per year.
Tesla recently expanded on its use of cobalt within its battery cells in the 2019 Impact Report. The company currently utilizes “nickel-rich cathode materials” in its cells, which contain less cobalt concentration than cathode chemistries that other companies use in their batteries.
The company also expanded on its practices of using cobalt, which is controversial on its own due to its mining practices in the Democratic Republic of Congo. Glencore owns a mine in the DRC, but it is currently closed for maintenance. Tesla’s suppliers are required to follow the company’s “Supplier Code of Conduct” and its “Human Rights and Conflict Minerals Policy.” Each of Tesla’s suppliers is subjected to an annual third-party to ensure safe and humane mining practices.
Tesla’s deal with Glencore will ensure safe and humane cobalt mining, but it will also ensure the company’s long-term success as production and demand for continue to rise. The electric automaker will undoubtedly let go of any concern that may have to do with supply shortages while the industry continues to grow amid more competition entering the sector.
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
