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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.
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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,"
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] 40×10 6: i486 microprocessor at 50 MHz, 1989; 86×10 6: Cray 1 supercomputer, 1978 [2] 100×10 6: Pentium ...
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 ...
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.