Tesla’s Model Y casting machine, commonly referred to as the “Giga Press,” has been installed at the company’s Fremont production facility, and it will bring a new age of efficiency and quality to the electric automaker’s first crossover SUV.
The casting machine has been talked about since early 2020 when CEO Elon Musk stated on an episode of the Third Row Podcast that Tesla would be purchasing the assembly to assist with the production efficiency of the Model Y.
It appears that the Giga Press has been successfully installed in Fremont based on a pair of tweets from both Musk and, who indicated that the casting apparatus was available for use at the Northern California plant.
Will be amazing to see it in operation! Biggest casting machine ever made. Will make rear body in a single piece, including crash rails.
— Elon Musk (@elonmusk) August 13, 2020
Musk seems enthusiastic about the Model Y casting machine, hinting toward the purpose of the device, which will revolutionize the way the electric car is built, paving the way for production efficiency across the world. Tesla is planning to use the casting device in Fremont, but also in Shanghai, where it was first spotted in April.
The sizeable Giga Press has been compared to a small house, measuring 64 ft (19.5 m) long and 17 ft (5.3 m) tall, and weighing in at 410 tons.
The rear portion of the vehicle will be cast in a single piece, which has a noticeable distinction compared to the Model 3, which contained over 70 individual parts on the rear portion of the vehicle.
Early production versions of the Model Y had evidently shown significant improvements in the number of auto parts that made up the rear section of the vehicle. Automotive teardown expert Sandy Munro noticed the improvement during his breakdown of the Model Y.
Although the Model Y was a highly optimized automobile during its early production, Tesla has still focused on improving the efficiency of the manufacturing process overall. There is evidence that the casting machine could save Tesla 20% on labor costs, which is an estimate from Laurie Harbour, president of Harbour Results Inc., a manufacturing consultancy firm.
While cost-effectiveness is undoubtedly critical for any company, the casting machine will accelerate and optimize Tesla’s ability to produce the Model Y across the world, which could help the company reach lofty production goals for years to come.
In Tesla’s Q2 2020 Earnings Letter, the electric automaker indicated that despite multiple production facility closures throughout 2020, it would not revise its production goal for the fiscal year.
In the letter, Tesla said:
“We have the capacity installed to exceed 500,000 vehicle deliveries this year, despite recent production interruptions. While achieving this goal has become more difficult, delivering half a million vehicles in 2020 remains our target.”
Tesla delivered 179,387 vehicles through the first two quarters of the year, so the company is technically behind schedule to reach its 2020 targets. However, demand for the company’s cars is healthy, and with expanding production lines and production efficiencies like the Model Y casting machine, there is a case that Tesla could still reach its goal before the year comes to an end.
Tesla’s use of the Giga Press could help the company manufacture about 1 million vehicles a year, opening the door for faster delivery times for customers, and increased production rates at all of the company’s production plants.
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
