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Tesla says it has started production of its Dojo supercomputer to train its fleet of autonomous vehicles.<\/p>\n<\/div>\n
In its second quarter earnings report for 2023, the company outlined \u201cfour main technology pillars\u201d needed to \u201csolve vehicle autonomy at scale: extremely large real-world dataset, neural net training, vehicle hardware and vehicle software.\u201d <\/p>\n<\/div>\n
\u201cWe are developing each of these pillars in-house,\u201d the company said in its report. \u201cThis month, we are taking a step towards faster and cheaper neural net training with the start of production of our Dojo training computer.\u201d<\/p>\n<\/div>\n
The automaker already has a large Nvidia GPU-based supercomputer that is one of the most powerful in the world, but the new Dojo custom-built computer is using chips designed by Tesla<\/a>. In 2019, Tesla CEO Elon Musk gave this \u201csuper powerful training computer\u201d a name: Dojo.<\/p>\n<\/div>\n Previously, Musk has claimed that Dojo will be capable of an exaflop, or 1 quintillion (\u200b\u200b1018) floating-point operations per second. That is an incredible amount of power. \u201cTo match what a one exaFLOP computer system can do in just one second, you\u2019d have to perform one calculation every second for 31,688,765,000 years,\u201d Network World<\/em>\u00a0wrote<\/a>. <\/p>\n<\/div>\n At Tesla\u2019s AI Day in 2021, Dojo was still a work in progress. Executives revealed its first chip and training tiles, which would eventually develop into a full Dojo cluster or \u201cexapod.\u201d Tesla said it will combine 2 x 3 tiles in a tray and two trays in a computer cabinet for over 100 petaflops per cabinet. In a 10-cabinet system, Tesla\u2019s Dojo exapod will break the barrier of the exaflop of compute.\u00a0<\/p>\n<\/div>\n A year later, at AI Day 2022,\u00a0Tesla unveiled some progress on Dojo, including having a full system tray. At the time, the automaker spoke about having a full cluster by early 2023 \u2014 though now it looks like it will likely be early 2024.<\/p>\n<\/div>\n