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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 .
That same year, Tesla began Supercharger construction and Autopilot labeling work at the plant and increased number of employees at the plant, eventually fulfilling its job creation commitments to New York State. Beginning in 2024, Tesla is also building Dojo supercomputer hardware at the factory.
Jonas believes Tesla’s Network Services (SaaS/Dojo cloud services) will not only be a revenue driver for the company, but also will help boost the prospects of Musk’s other businesses: X ...
Dojo will be used to label the data Tesla receives from the vehicles with cameras that Tesla has on the road. If a user allows, Tesla can pull video data from thousands of cars and use it for ...
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] It was officially announced by Musk at Tesla's AI Day on August 19 ...
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,"
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. This ...
The contents of the Tesla Dojo page were merged into Tesla Autopilot on 17 October 2021. For the contribution history and old versions of the redirected page, please see its history ; for the discussion at that location, see its talk page .