Electric vehicle (EV) startup Canoo is preparing to begin delivery of its first Oklahoma-built units, with the initial batch going to the state.
Canoo is set to begin delivering its first units of the Lifestyle Delivery Vehicle (LDV), produced at its Oklahoma City plant, to the state’s Office of Management and Enterprise Services (OMES), according to a press release shared on Monday. OMES plans to purchase its first three LDV units by the end of this year, and the parties have an agreement with Oklahoma for as many as 1,000 of the LDVs while Canoo continues ramping manufacturing.
“We are proud to be part of this historic moment as Canoo builds momentum on its road to full-scale production,” Oklahoma Governor Kevin Stitt said in the release. “This marks Oklahoma’s return to vehicle manufacturing and proves ‘The Sooner State’ is the right place to grow cutting-edge businesses and create new jobs.”
The milestone marks the beginning of Canoo’s plans for phased-ramp manufacturing in Oklahoma, with the company planning to continue ramping production in the coming years. The release also says that unit deliveries will be made to Canoo’s key customers and partners in the remainder of this year, and the company plans to increase delivered units in 2024.
Additionally, the electric vehicle (EV) maker is hiring at both its Oklahoma City and Pryor facilities, expected to create as many as 1,300 jobs. The automaker also announced its American Bulldog pickup just last week, entering the increasingly-competitive electric truck sector.
Sculpted with grit, powered by innovation. The American Bulldog is paving new trails for the next generation of EV technology.#EV #Canoo #AmericanBulldog pic.twitter.com/dfl0Ptz2Ol
— Canoo (@canoo) November 10, 2023
“It’s an honor to partner with the state of Oklahoma and its workforce to create a legacy for electric vehicles in America’s Heartland,” Canoo Chairman and CEO Tony Aquila said.
“What is inspiring to me is that it takes just a small group of innovators and hardworking believers who find a way to win. I want to thank Governor Stitt and his team for believing in us. We want our vehicles to provide service to Oklahomans who have been our partners through this journey.”
The LDVs are built on Canoo’s configurable, multi-purpose platform and are intended for commercial and government fleet customers. Last December, Canoo delivered its very first units, Light Tactical Vehicles (LTVs), to the U.S. Army. In July, the startup also delivered three Crew Transportation Vehicles (CTVs) to NASA.
Canoo says the vehicles are also made to help fleet operators cut operating costs, a point that was reiterated in the announcement by OMES Executive Director John Suter.
“We are excited to add Canoo vehicles to the state’s pooled fleet as part of a broader initiative to improve efficiency, cut waste and improve stewardship of taxpayer dollars,” Suter said. “We look forward to evaluating these new assets and the role they can play in modernizing Oklahoma’s vehicle use.”
The startup has also elicited large fleet orders from commercial customers, including Walmart, Zeeba and Kingbee.
Updated 11/15/23: Corrected the second paragraph to note that OMES is purchasing the initial units by the end of this year, after originally reporting that the first few units had already begun delivery.
Canoo continues rapid production expansion with yet another new facility
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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.