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On September 11, 2023, Morgan Stanley increased its target price for Tesla stock to US$400 from a prior target of $250 and called the stock its top pick in the electric vehicle sector, stating that Tesla’s Dojo supercomputer could fuel a $500 billion jump in Tesla’s market value. [24]
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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Dojo attempts to solve perhaps the biggest hardware problem facing AI. Elon Musk’s Dojo supercomputer added $70 billion—the value of BMW—to Tesla’s market cap. So what exactly is it?
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 ...
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 labeled data will then be used to train Tesla's software to allow the cars to fully drive themselves using only cameras and radar. > Version 1 is about a year away> > -- Elon Musk (@elonmusk ...
If inventory with a historical cost of $100 is sold for $115 when it costs $110 to replace it, the profit recorded would be $5 only based on replacement cost, not $15; charging economic rent for assets, particularly property. If a business uses a 20-year-old property which it owns, depreciation on a historical cost basis might be insignificant.