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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]
English: Schematic showing the Tesla Dojo architecture, abstracted from content posted in 2021 and 2022. There are: 354 computing cores per D1 chip; 25 D1 chips per Training Tile; 6 Training Tiles per System Tray (plus host & interface hardware) 2 System Trays per Cabinet; 10 Cabinets per ExaPOD
At a CVPR 2021 workshop, Tesla has explained how it's planning to do vision-only autonomous driving using an in-house supercomputer called "Dojo,"
Elon Musk's other companies will benefit from Tesla's supercomputer prowess, analyst Adam Jonas said. How Tesla's Dojo supercomputer will power the 'Muskonomy' [Video] Skip to main content
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.
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 ...
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 [ 164 ] [ 165 ] and August 2020. [ 165 ]
This labeled data will then be used to train Tesla's software to allow the cars to fully drive themselves using only cameras and radar. > Version 1 is about a year away> > -- Elon Musk (@elonmusk ...