Former Tesla co-founder JB Straubel’s battery recycling startup Redwood Materials announced recently that it had come to terms with Envision AESC for cell recycling efforts. After CNBC initially reported the partnership yesterday, Teslarati spoke to the battery recycling startup, indicating there are plenty of details that make the pairing ideal for the entire EV sector.
While Redwood’s most recent announcement sheds light on a partnership with AESC, it is not the only contributor to the batter recycling efforts that Straubel’s company is working on. With the conglomerate’s announcement, Redwood now works with the two largest battery manufacturing companies in North America. Along with AESC, Redwood is also working with Panasonic, Tesla’s supplier at its factory in Sparks, Nevada, known as the Tesla Gigafactory. While Envision AESC works out of Tennessee, Redwood has established two battery cell producers in separate regions of the United States, working on expanding its footprint of possible EV manufacturers who need assistance in responsibly disposing of their batteries.
Resuing battery materials will eliminate some criticism regarding mining, which can be hazardous to the environment. Ultimately, Redwood aims to give EV manufacturers the ability to reuse their materials, and it has gotten to the point that the difference between new and recycled materials is relatively “indistinguishable,” Straubel said.
However, Bill Williams, Envision AESC’s Director of Business Development, also chimed in on the partnership with Redwood. The two companies’ goals of sustainability and cost-effectiveness will help the development of the electric vehicle sector, along with the ongoing production of energy storage products that are becoming more popular.
Williams said:
“Envision AESC’s partnership with Redwood Materials will allow all production scrap from our US factory to be recycled, and, eventually, for Redwood to supply material for AESC. This circular supply chain supports Envision AESC’s deep commitment to sustainability and already creates substantial cost savings for Envision AESC that will be passed down to future electric vehicles and energy products.”
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Two Tesla Execs linked to advanced recycling startup Redwood Materials
Batteries from AESC’s facility in Smyrna, Tennessee, are being used to power electric buses, energy storage units, and the Nissan LEAF, among many other products, a Redwood spokesperson told Teslarati. Additionally, the material being received by Redwood from both the Tesla Gigafactory makes up for more than 1 GWh of material from Panasonic alone. This is ultimately fueled by the expansion of the Gigafactory, and the material received by Redwood will return to Panasonic and be put into new batteries, according to Redwood’s spokesperson.
Redwood will recycle all production scrap from any of its partners, including cathode and anode materials and cells or battery modules that don’t pass validation and are past the point of repair. The goal of its partnership with AESC is to produce material that could eventually be returned to the supplier as a part of a fully circular supply chain, eliminating the need for massive mining pushes or extensive contracts with battery material suppliers, the spokesperson added.
Redwood’s development of recycled goods will eventually turn the EV sector into an even more sustainable industry that could lead to the complete phase-out of combustion engines altogether. If batteries are sourced properly as the EV sector continues to grow, many of the cars on the road could contain recycled materials thanks to Redwood’s initiative, turning the already Earth-friendly EV sector into one of the most sustainable industries globally.
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
