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Tesla renews contract with Jeff Dahn’s battery team at Dalhousie University
Tesla has renewed its contract with Jeff Dahn and Dalhousie University. The partnership between Tesla and the Canadian University, which started on June 8th, 2016, held the intention of developing longer-lasting, lower-cost EV batteries.
For years, Tesla has been working with Dahn’s research team to develop new strategies for EV battery development and longevity. One of the most notable was an electrolyte solvent, which Dahn’s team submitted a patent for on behalf of Tesla in the company’s search for a 1 million mile-capable battery cell.
It appears that the partnership has been extended, based on a new announcement from the school.
On Monday, January 18th, Dalhousie University published a press release that announced the addition of two new scientists who will act as the school’s newest research chairs in the development of electric vehicle batteries and technology. Dr. Chongyin Yang and Dr. Michael Metzger, two established scientsts in the battery industry, will join Dalhousie’s exclusive partnership with Tesla to develop world-class electric vehicle batteries.
Dalhousie University detailed the addition of Dr. Yang and Dr. Metzger:
“Dr. Chongyin Yang is the Tesla Canada Research Chair and has been working on materials and devices for energy conversion and storage for 12 years. Prior to coming to Dalhousie University, Dr. Yang was an assistant research scientist in the Department of Biomolecular Engineering at the University of Maryland, where he led research projects on material and device development for high energy aqueous lithium-ion batteries.
Dr. Michael Metzger is the Herzberg-Dahn Chair and received a diploma from the Technical University of Munich (TUM), the top-ranked university in Germany and the European Union. While completing his graduate studies, Dr. Metzger developed innovative methods to study the lifetime and aging of lithium-ion batteries in close collaboration with BASF and BMW. He has also worked in the Silicon Valley tech industry as a research engineer for Robert Bosch, the largest supplier for the automotive industry.”
Dahn commented on the addition of both of the new Doctors, stating that he was extremely pleased with the announcement and looks forward to the contributions they will make. “Our goal is to continue to help Tesla develop better advanced batteries for its products. Dr. Yang and Dr. Metzger bring new ideas, new methods, and new expertise as well as a full commitment to electric transportation and renewable energy to the partnership,” Dahn said.
Tesla battery researcher Jeff Dahn’s tests hint at li-ion cells breaking the 2M-mile barrier
Additionally, Dalhousie announced that their partnership with Tesla has been extended until at least 2026.
“The initial research agreement between Dalhousie University and Tesla was signed in June 2015. This collaboration is a first between the leading American electric vehicle company and a Canadian university. Work officially began with Tesla in 2016, and the partnership has been renewed until at least 2026.”
Tesla also commented on Yang and Metzger’s new roles, which will help the company in their pursuit of longer lasting and more powerful EV battery cells. ”
“We are thrilled to be extending and expanding our work with Dalhousie and Jeff Dahn with the addition of Chongyin and Michael. We look forward to their important contributions in battery technology to help achieve our mission,” the automaker said.
H/t: Electrek
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
