New submitter Darth Technoid shares a report from Electrek: At its AI Day, Tesla unveiled its Dojo supercomputer technology while flexing its growing in-house chip design talent. The automaker claims to have developed the fastest AI training machine in the world. For years now, Tesla has been teasing the development of a new supercomputer in-house optimized for neural net video training. Tesla is handling an insane amount of video data from its fleet of over 1 million vehicles, which it uses to train its neural nets. The automaker found itself unsatisfied with current hardware options to train its computer vision neural nets and believed it could do better internally. Over the last two years, CEO Elon Musk has been teasing the development of Tesla’s own supercomputer called “Dojo.” Last year, he even teased that Tesla’s Dojo would have a capacity of over an exaflop, which is one quintillion (1018) floating-point operations per second, or 1,000 petaFLOPS. It could potentially makes Dojo the new most powerful supercomputer in the world.
Ganesh Venkataramanan, Tesla’s senior director of Autopilot hardware and the leader of the Dojo project, led the presentation. The engineer started by unveiling Dojo’s D1 chip, which is using 7 nanometer technology and delivers breakthrough bandwidth and compute performance. Tesla designed the chip to “seamlessly connect without any glue to each other,” and the automaker took advantage of that by connecting 500,000 nodes together. It adds the interface, power, and thermal management, and it results in what it calls a training tile. The result is a 9 PFlops training tile with 36TB per second of bandwight in a less than 1 cubic foot format. But now it still has to form a compute cluster using those training tiles in order to truly build the first Dojo supercomputer. Tesla hasn’t put that system together yet, but CEO Elon Musk claimed that it will be operational next year.
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