Saturday, August 21st, 2021

Time	Event
12:02a	Tesla Unveils Dojo Supercomputer: World's New Most Powerful AI Training Machine 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. Read more of this story at Slashdot. (Comment on this)
4:34p	GM Recalls 73,000 More of Its Chevy 'Bolt' Electric Cars Over Fire Risk In November GM recalled 69,000 of its "Bolt" electric cars after five reported fires and two minor injuries. Last month they issued a second recall "after at least two of the electric vehicles that were repaired for a previous problem erupted into flames," CNBC reported. And then Friday the company expanded that recall "due to potential fire risk." The recall expansion is expected to cost the automaker an additional $1 billion, bringing the total to $1.8 billion to replace potentially defective battery modules in the vehicles. GM said about 73,000 vehicles in the U.S. and Canada are being added to the recall from the 2019-2022 model years, including a recently launched larger version of the car called the Bolt EUV... The expanded recall now includes all Bolt EV models ever produced, casting a shadow over GM's first mainstream electric vehicle, as it attempts to transition to exclusively sell EVs by 2035... The expansion follows the companies finding that the batteries for these vehicles may have two manufacturing defects — a torn anode tab and folded separator — present in the same battery cell, which increases the risk of fire. GM has confirmed one fire in the new population of recalled vehicles. That's in addition to at least nine previous confirmed fires in the first round of vehicles that were recalled. Read more of this story at Slashdot. (Comment on this)

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