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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]
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
Dojo represents Tesla’s attempt to solve one of the biggest hardware problems facing AI— the bottlenecks in memory storage and bandwidth that inhibit effective scaling of the technology.
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 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.
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 ...
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,"