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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 .
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.
Elon Musk's other companies will benefit from Tesla's supercomputer prowess, analyst Adam Jonas said.
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. Several ExaPODs ...
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 ]
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 ...
NCSA is one of the five original centers in the National Science Foundation's Supercomputer Centers Program. [1] The idea for NCSA and the four other supercomputer centers arose from the frustration of its founder, Larry Smarr, who wrote an influential paper, "The Supercomputer Famine in American Universities", in 1982, after having to travel to Europe in summertime to access supercomputers ...
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,"