According to Morgan Stanley, a version of the Dojo supercomputer has been up and running since July and will eventually have the power to crunch FSD (full-self driving) visual data from the ...

Tesla Inc.’s Dojo supercomputer project lead Ganesh Venkataramanan has left the company, according to people familiar with the matter, in a setback to the automaker’s efforts to develop self ...

Tesla's Dojo Supercomputer specializes in AI for Full-Self Driving. Its unique architecture and scalability position Tesla as a key player in AI and supercomputing.

Tesla is building Dojo for use in-house, processing video data from the millions of Tesla vehicles on the road. Dojo is built on Tesla’s D1 chip, the second the company has designed.

Dojo is Tesla’s own custom supercomputer platform built from the ground up for AI machine learning and, more specifically, for video training using the video data coming from its fleet of vehicles.

Tesla’s Dojo supercomputer could fuel a $500 billion jump in the electric vehicle maker’s market value, analysts at Morgan Stanley said in a note Monday.

Tesla announced it started production of its Dojo supercomputer to train its fleet of driverless cars. Dojo will be capable of an exaflop, or 1 quintillion ( 1018) floating-point operations per ...

Tesla has unveiled its latest version of its Dojo supercomputer, and it’s apparently so powerful that it tripped the power grid in Palo Alto. Dojo is Tesla’s own custom supercomputer platform ...

Dojo has 1.25MB of SRAM that it can use as working memory with five ports, but it has no cache or virtual memory. It uses DMA to get the information it needs via a mesh system.