Tesla unveils new Dojo supercomputer so powerful it tripped the power grid

Tesla has unveiled its newest model of its Dojo supercomputer and it is apparently so potent that it tripped the ability grid in Palo Alto.

Dojo is Tesla’s individual custom made supercomputer system built from the floor up for AI device mastering and more particularly for video training using the movie knowledge coming from its fleet of automobiles.

The automaker already has a big NVIDIA GPU-primarily based supercomputer that is a person of the most highly effective in the earth, but the new Dojo tailor made-developed computer system is utilizing chips and an complete infrastructure developed by Tesla.

The personalized-designed supercomputer is expected to elevate Tesla’s ability to coach neural nets using video clip information, which is important to its personal computer eyesight technological know-how powering its self-driving energy.

Very last yr, at Tesla’s AI Working day, the corporation unveiled its Dojo supercomputer, but the enterprise was however ramping up its effort at the time. It only had its 1st chip and teaching tiles, and it was continue to working on constructing a complete Dojo cabinet and cluster or “Exapod.”

Now Tesla has unveiled the development built with the Dojo plan over the past 12 months throughout its AI Day 2022 past night.

The firm verified that it managed to go from a chip and tile to now a system tray and a total cabinet.

Tesla claims it can exchange 6 GPU boxes with a single Dojo tile, which the enterprise promises fees significantly less than a person GPU box. There are 6 of those tiles per tray.

Tesla claims that a single tray is the equivalent of “3 to 4 totally-loaded supercomputer racks”.

The company is integrating its host interface instantly on the technique tray to make a massive complete host assembly:

Tesla can in good shape two of these process trays with host assembly into a single Dojo cupboard.

Here’s what the Dojo cabinet appears to be like like closed and opened:

Which is rather substantially exactly where Tesla is appropriate now as the automaker is however acquiring and testing the infrastructure desired to put a few cabinets with each other to create the very first “Dojo Exapod”.

Monthly bill Chang, Tesla’s Principal Method Engineer for Dojo, claimed during

“We understood that we had to reexamine each and every facet of the facts heart infrastructure in order to assistance our unprecedented cooling and electrical power density.”

They experienced to acquire their personal significant-driven cooling and ability program to electrical power the Dojo cupboards.

Chang explained that Tesla tripped their area electric grid’s substation when testing the infrastructure before this yr:

“Earlier this 12 months, we started off load tests our energy and cooling infrastructure and we ended up able to press it over 2 MW before we tripped our substation and obtained a get in touch with from the city.”

Here’s how the Tesla Dojo Exapod appears to be like opened and closed:

Tesla produced the most important specs of a Dojo Exapod: 1.1 EFLOP, 1.3 TB SRAM, and 13 TB substantial-bandwidth DRAM.

The corporation employed the function to attempt to recruit much more expertise, but it also shared that it is on program to have its full to start with cluster or Exapod, in Q1 2023.

It is at the moment preparing to have 7 Dojo Exapods in Palo Alto.

Why does Tesla require to Dojo supercomputer?

It’s a good question. Why is an automaker building the world’s most effective supercomputer? Nicely, Tesla would tell you that it’s not just an automaker, but a technology corporation acquiring items to accelerate the changeover to a sustainable economic climate.

Musk said it helps make sense to give a Dojo as a assistance, most likely to just take on his buddy Jeff Bezos’s Amazon AWS and calling it a “service that you can use that is out there on line where you can practice your designs way more rapidly and for significantly less money.”

But more specially, Tesla requires Dojo to automobile-label educate films from its fleet and practice its neural nets to make its self-driving program.

Tesla recognized that its method to producing a self-driving process applying neural nets instruction on millions of video clips coming from its customer fleet involves a ton of computing ability. and it determined to create its personal supercomputer to produce that electric power.

Which is the shorter-phrase aim, but Tesla will have a good deal of use for the supercomputer heading ahead as it has large ambitions to produce other synthetic intelligence plans.

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