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Tesla’s in-house supercomputer is something special

supercomputer

(Image credit: Shutterstock / Timofeev Vladimir)

Tesla’s in-house supercomputer has received yet another 1,600 GPUs, a 28% increase on the figure quoted this past year.

Tesla Engineering Manager Tim Zaman claims this might place the device 7th on the planet by GPU count.

The device now includes a total of 7,360Nvidia A100 GPUs, which are designed designed for data center servers, but make use of the same architecture because the company’s top-of-the-line GeForce RTX 30-series cards.

Telsa supercomputer upgrade

It’s likely Tesla needs all of the processing power it could get at this time. The company happens to be focusing on ‘neural nets’, which are accustomed to process the vast levels of video data that the business’s cars collect.

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

In June 2020, Elon Musk said “Tesla is creating a neural net training computer called Dojo to process truly vast levels of video data”, explaining the planned machine would achieve a performance of over 1 exaFLOPs, which represents one quintillion floating-point operations per second, or 1,000 petaFLOPs.

Performance of over 1 exaFLOPs would place the device being among the most powerful supercomputers worldwide, as just a few current supercomputers have officially exceeded the exascale barrier, like the Frontier supercomputer at the Oak Ridge National Laboratory in Tennessee, USA.

You may even be capable of geting employment building the brand new computer. Musk asked his Twitter followers to “consider joining our AI or computer/chip teams if this sounds interesting”.

Dojo will not be reliant on Nvidia hardware, however. The planned machine is defined to be powered by Tesla’s new D1 Dojo Chip, that your carmaker said may have specifications as high as 362 TFLOPs at its AI Day event.

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Via Tom’s Hardware (opens in new tab)

Will McCurdy has been authoring technology for over five years. He’s got an array of specialities including cybersecurity, fintech, cryptocurrencies, blockchain, cloud computing, payments, artificial intelligence, retail technology, and capital raising investment. He’s got previously written for AltFi, FStech, Retail Systems, and National Technology News and can be an experienced podcast and webinar host, along with a devoted long-form feature writer.

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