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Tesla Dojo is a supercomputer designed and built by Tesla for computer vision video processing and recognition. [1] It is used for training Tesla's machine learning models to improve its Full Self-Driving (FSD) advanced driver-assistance system. According to Tesla, it went into production in July 2023. [2]
Entering production in July, Dojo is supposed to rapidly expand to the equivalent of 300,000 Nvidia A100 GPUs, for a total compute of 100 exaflops (a measurement of supercomputer operational speed ...
Tesla CEO Elon Musk has been teasing a neural network training computer called "Dojo" since at least 2019. Musk says Dojo will be able to process vast amounts of video data to achieve vision-only ...
Tesla's Dojo supercomputer consists of several "system trays" of the company’s in-house D1 chips, which are built into cabinets that then merge into an "ExaPOD" supercomputer.
Tesla Autopilot, an advanced driver-assistance system for Tesla vehicles, uses a suite of sensors and an onboard computer. It has undergone several hardware changes and versions since 2014, most notably moving to an all-camera-based system by 2023, in contrast with ADAS from other companies, which include radar and sometimes lidar sensors.
In January 2024, Tesla announced a $500 million project to build a Dojo supercomputer cluster at the factory despite Musk's characterizing Dojo as a "long shot" for AI success. At the same time, the company was investing greater amounts in computer hardware made by others to support its AI training programs for its Full Self Driving and Optimus ...
Please consider joining our AI or computer/chip teams if this sounds interesting.> > -- Elon Musk (@elonmusk) August 14, 2020Benzinga's Take: Tesla's present method of data labeling uses human labor.
Tesla Dojo is a supercomputer designed from the ground up by Tesla for computer vision video processing and recognition. It will be used to train Tesla's machine learning models to improve FSD. Dojo was first mentioned by Musk in April 2019 [ 165 ] [ 166 ] and August 2020. [ 166 ]