Tesla unveils the supercomputer it & quot; trains & quot; the artificial intelligence of Autopilot

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We know that Tesla is working on a supercomputer called & quot; Dojo & quot; which will be ; able to handle huge quantities of data. The goal is to get to develop more; quickly the artificial intelligence of the Autopilot system. Dojo is not; still arrived, the debut would be expected by the end of the year, but also the current solution with which the manufacturer 'trains' neural networks the basis of the Autopilot system is not; less since, according to the manufacturer, it is the fifth largest computer; powerful in the world.

After all, to manage the amount of data coming from the fleet of vehicles that allow to improve the capacities; assisted driving, you need a very high computing power. Andrej Karpathy , Tesla's head of AI, wanted to tell something more; of the supercomputer used today by his company & agrave; during the Conference on Computer Vision and Pattern Recognition 2021.

Auto 11 Jun

DO YOU NEED A LOT OF CAPACITY? CALCULATION

Process the data as much as possible; as fast as possible & egrave; fundamental for accelerate the evolution of functionality of the Autopilot system . This is why & eacute; Tesla is investing heavily in the capacity; of calculation. The future & quot; Dojo & quot; it should represent an important step forward from this point of view. An important investment, also because & eacute; with the rapid rise of Tesla on the roads, the automaker will receive & agrave; a quantity more and more data to be processed.

To arrive at Elon Musk's goal of proposing in the future true autonomous driving on its electric cars, Tesla will have to & agrave; still work a long time on the development of artificial intelligence. To do so, he will have; need for supercomputers more and more; powerful. While waiting for the arrival of Dojo, Andrej Karpathy shared some data of the latest cluster used by his company; to manage and process the data with which it is & quot; trained & quot; artificial intelligence.

  • 720 nodes of 8x A100 80GB (5760 total GPUs)
  • 1.8 EFLOPS (720 nodes * 312 TFLOPS-FP16-A100 * 8 GPU/node)
  • 10 PB of & ldquo; hot tier & rdquo; NVME storage @ 1.6 TBps
  • 640 Tbps switching capacity

Definitely impressive numbers. Dojo far & agrave; even better since & egrave; has been optimized for neural network development but Karpathy is not; wanted to go into details.

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