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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
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.
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
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,"
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 ...
1×10 6: computing power of the Motorola 68000 commercial computer introduced in 1979. [citation needed] 1.2×10 6: IBM 7030 "Stretch" transistorized supercomputer, 1961; 5×10 6: CDC 6600, first commercially successful supercomputer, 1964 [2] 11×10 6: Intel i386 microprocessor at 33 MHz, 1985; 14×10 6: CDC 7600 supercomputer, 1967 [2]