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You are at:Home»AI»Tesla closes Dojo, the AI Training Superintendent who said Musk would be the key to full self-guidance
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Tesla closes Dojo, the AI Training Superintendent who said Musk would be the key to full self-guidance

techtost.comBy techtost.com8 August 202504 Mins Read
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Tesla Closes Dojo, The Ai Training Superintendent Who Said Musk
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Tesla breaks the team behind the DOJO supercomputist, finishing the automotive game in the development of chips internally for driver technology, according to Parachute.

Dojo’s lead, Peter Bannon, leaves the company and other team members will be entrusted to other data centers and calculate projects in Tesla, according to Bloomberg’s report, which reported anonymous sources.

The dismantling of Tesla’s Dojo attempts follows the departure of about 20 employees who abandoned the automotive industry to start their own AI is called PIEWITYAI. The new start soon comes from Stealth and creates chips, hardware and software that will supply the AI data centers used in Robotics, by AI agents and car applications. Piewityai was founded by former head Dojo Ganesh Venkataramanan and former officials Tesla Bill Chang and Ben Floering.

It also comes at a critical time for Tesla.

Managing Director Elon Musk prompted to take the shareholders to see Tesla as AI and Robotics, despite the limited robot launch at Austin last June, which included Y modeling vehicles with a man in the passenger seat and led to many reports.

Tesla’s decision to close Dojo, which Musk has been talking about since 2019, is a significant shift in strategy. Musk said Dojo would be the cornerstone of Tesla’s AI’s ambitions and his goal of reaching full self-leading because of his ability to “really process huge amounts of video data”. He talked about Dojo, though for a while, just recently, such as calling the profits of the company’s second quarter.

In 2023, Morgan Stanley predicted that Dojo could add $ 500 billion to the company’s market value, unlocking new revenue flows in the form of software and software services. Just last year, Musk noted that Tesla’s AI team would “double” in Dojo in promoting the Tesla robot, which happened in October.

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But the debate on Dojo stopped around August 2024, when Musk started dealing with the bark, instead, Tesla’s “Giant New Ai Training Supercluster” built on Austin to resolve the real AI “.

The Dojo project was a supercomputer, a place inside the chip construction. Tesla presented the D1 chip when he officially announced Dojo on his first AI day in 2021. Venkataramanan presented the chip, which Tesla said will be used in parallel with NVIDIA’s GPU to fuel the oversized dojo. The automotive industry also said it was working on a subsequent D2 chip that would solve any obstacles for flowing information from its predecessor.

Sources told Bloomberg that Tesla is now planning to increase NVIDIA dependence, as well as other external technology partners such as AMD for Compute and Samsung for chip manufacturing. Tesla last month signed a $ 16.5 billion deal with Samsung to make AI6 chips, a chip plan that promises to escalate from the supply of Tesla Optimus humanoid robots all the way to high -performance AI training.

During the call of Tesla’s second quarter, Musk hints for possible layoffs.

“Thinking about Dojo 3 and AI6 chip, it looks like intuitively. We want to try to find convergence there, where they are basically the same chip,” Musk said.

The news comes as the Tesla Council offers Musk a $ 29 billion fee package to keep it in Tesla and help promote AI efforts, rather than getting too far from its other companies, including the clearer AI Startup XAI game.

TechCrunch has arrived at Tesla for more information.

Do you have sensitive advice or confidential documents? We mention the internal operation of the AI industry – from companies that shape their future to the people who are influenced by their decisions. Contact rebecca Bellan at rebecca.bellan@techcrunch.com and Maxwell Zef at maxwell.zeff@techcrunch.com. For safe communication, you can contact us via a signal at @rebeccabellan.491 and @mzeff.88.

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