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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 .
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 ...
This time, Tesla developers wanted to remove virtually all of the 300,000-plus lines of code in v11 and replace it with AI that can continuously learn and improve with each mile a Tesla car drives.
See more from Benzinga * Click here for options trades from Benzinga * Tesla's Gigafactory Shanghai Plans Production Of 550K Vehicles In 2021: Report * Tesla Submits Application For Model Y ...
Tesla, already the world's most valuable automaker, started production of the supercomputer to train artificial intelligence (AI) models for self-driving cars in July and plans to spend more than ...
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 [165] [166] and August 2020. [166] It was officially announced by Musk at Tesla's AI Day on August 19 ...
Tesla stock popped this week — 6% on Monday — as influential Morgan Stanley analyst Adam Jonas talked up the artificial intelligence and Dojo supercomputer prospects for the electric vehicle ...
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)