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

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

Tesla has unveiled its most recent version of its Dojo supercomputer and it’s seemingly so potent that it tripped the electrical power grid in Palo Alto.

Dojo is Tesla’s own customized supercomputer system designed from the floor up for AI equipment finding out and far more precisely for movie coaching applying the online video details coming from its fleet of automobiles.

The automaker now has a big NVIDIA GPU-primarily based supercomputer that is just one of the most highly effective in the entire world, but the new Dojo custom made-crafted pc is utilizing chips and an total infrastructure built by Tesla.

The custom-built supercomputer is envisioned to elevate Tesla’s ability to educate neural nets utilizing movie info, which is critical to its laptop vision know-how powering its self-driving hard work.

Past 12 months, at Tesla’s AI Working day, the firm unveiled its Dojo supercomputer, but the company was however ramping up its effort at the time. It only experienced its very first chip and education tiles, and it was continue to doing the job on constructing a entire Dojo cupboard and cluster or “Exapod.”

Now Tesla has unveiled the progress designed with the Dojo plan above the last yr all through its AI Working day 2022 last night.

The organization confirmed that it managed to go from a chip and tile to now a program tray and a entire cabinet.

Tesla claims it can switch 6 GPU boxes with a solitary Dojo tile, which the enterprise statements costs a lot less than one particular GPU box. There are 6 of those people tiles for every tray.

Tesla suggests that a one tray is the equal of “3 to 4 completely-loaded supercomputer racks”.

The corporation is integrating its host interface right on the program tray to produce a huge entire host assembly:

Tesla can match two of these process trays with host assembly into a single Dojo cabinet.

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

That’s rather considerably where Tesla is appropriate now as the automaker is nonetheless acquiring and screening the infrastructure needed to set a several cabinets collectively to develop the initial “Dojo Exapod”.

Invoice Chang, Tesla’s Principal Technique Engineer for Dojo, stated through

“We knew that we experienced to reexamine each individual component of the data center infrastructure in buy to support our unprecedented cooling and electric power density.”

They had to produce their very own substantial-driven cooling and electricity process to ability the Dojo cabinets.

Chang mentioned that Tesla tripped their neighborhood electrical grid’s substation when tests the infrastructure earlier this year:

“Earlier this year, we started out load screening our electrical power and cooling infrastructure and we had been equipped to push it more than 2 MW in advance of we tripped our substation and received a get in touch with from the metropolis.”

Here’s how the Tesla Dojo Exapod seems like opened and shut:

Tesla launched the key specs of a Dojo Exapod: 1.1 EFLOP, 1.3 TB SRAM, and 13 TB superior-bandwidth DRAM.

The business used the party to try to recruit additional talent, but it also shared that it is on agenda to have its total first cluster or Exapod, in Q1 2023.

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

Why does Tesla want to Dojo supercomputer?

It is a fair concern. Why is an automaker developing the world’s most highly effective supercomputer? Properly, Tesla would inform you that it is not just an automaker, but a technological innovation firm establishing items to speed up the transition to a sustainable economy.

Musk stated it can make sense to give a Dojo as a support, perhaps to choose on his buddy Jeff Bezos’s Amazon AWS and calling it a “service that you can use that is available on the net in which you can teach your types way speedier and for considerably less money.”

But a lot more particularly, Tesla wants Dojo to car-label prepare video clips from its fleet and educate its neural nets to establish its self-driving system.

Tesla recognized that its solution to producing a self-driving method utilizing neural nets education on millions of films coming from its shopper fleet necessitates a large amount of computing energy. and it resolved to establish its own supercomputer to produce that power.

That’s the limited-term goal, but Tesla will have a great deal of use for the supercomputer heading ahead as it has huge ambitions to develop other artificial intelligence packages.

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