And Tesla’s planned supercomputer to handle all that data.
. Autopilot director Ashok Elluswamy took the stage during Tesla's AI day to talk about how the company's Full Self Driving software has improved. He revealed that there are now 160,000 customers running the beta software, compared to 2,000 from this time last year.
Tesla lists progress of its “Full Self Driving ” project from 2,000 customers in 2021 to 160,000 customers in 2022.Afterward, Tesla's tech lead for Autopilot motion planning, Paril Jain, showed how FSD has improved in specific interactions and can make "human-like" decisions. For example, when a Tesla makes a left turn into an intersection, it can choose a trajectory that doesn't make close calls with obstacles like people crossing the street.
Tesla trains the company's AI software on its supercomputer, then feeds the results to customers' vehicles via over-the-air software updates. To do this, it processes video feeds from Tesla's fleet of over 1 million camera-equipped vehicles on the road today and has a simulator built in Unreal Engine that is used to improve Autopilot.The automaker already has a large Nvidia GPU-based supercomputer and a data center holding 30PB of stored footage.
Since last year's AI day, Dojo development hit a few milestones, including installing the first Dojo cabinet, testing 2.2MW of load testing, and now the company is working at a build rate of one tile per day. Dojo was also demonstrated running a Stable Diffusion model using 25 Dojo dies, creating this AI-generated image based on a prompt of "Cybertruck on Mars."additional $15,000
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