Tesla’s in-house supercomputer has obtained an extra 1,600 GPUs, a 28% improve on the determine quoted a yr in the past.

Tesla Engineering Supervisor Tim Zaman claims this might place the machine seventh on the planet by GPU rely.

The machine now contains a whole of seven,360 Nvidia A100 GPUs, that are constructed particularly for knowledge middle servers, however make the most of the identical structure as the corporate’s top-of-the-line GeForce RTX 30-series playing cards. 

Telsa supercomputer improve

It is possible Tesla wants all of the processing energy it will probably get proper now. The corporate is at present engaged on ‘neural nets’, that are used to course of the huge portions of video knowledge that the corporate’s vehicles gather.

The most recent improve could also be simply the beginning of Tesla’s high-performance computing (HPC) ambitions.

In June 2020, Elon Musk mentioned “Tesla is creating a neural web coaching laptop referred to as Dojo to course of really huge quantities of video knowledge”, explaining the deliberate machine would obtain a efficiency of over 1 exaFLOPs, which represents one quintillion floating-point operations per second, or 1,000 petaFLOPs.

Efficiency of over 1 exaFLOPs would place the machine among the many strongest supercomputers worldwide, as just a few present supercomputers have formally exceeded the exascale barrier, together with The Frontier supercomputer on the Oak Ridge Nationwide Laboratory in Tennessee, United States. 

You would possibly even be capable to get a job constructing the brand new laptop. Musk requested his Twitter followers to “take into account becoming a member of our AI or laptop/chip groups if this sounds attention-grabbing”.

Dojo will not be reliant on Nvidia {hardware}, nonetheless. The deliberate machine is ready to be powered by Tesla’s new D1 Dojo Chip, which the carmaker mentioned might have specs of as much as 362 TFLOPs at its AI Day occasion.

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By way of Tom’s {Hardware} (opens in new tab)