Amazon’s cloud unit taps own chips for new supercomputing offering

Platform News: Amazon building Inc’s cloud unit on Tuesday offered a new supercomputing service based on its self-designed chips, a further indication of how chips based on Arm Ltd’s technologies are encroaching on Intel and AMD turf.

Amazon Web Services, or AWS, sells its computing services based on the customer’s selection of an inherent central processor chip. Software developers have traditionally picked involving Intel or AMD goods, but because 2018 Amazon has also provided its “Graviton” chips designed with technologies by Arm, which is in the midst of a $40 billion takeover by Nvidia Corp.

Arm-based chips have powered cellular phones since they can function on very low power levels, but they are increasingly utilized in data centres where their power efficiency helps control costs. The world’s fastest computing system, the Fugaku supercomputer in Japan, relies on Arm chips.

Supercomputing helps with tasks like weather forecasting, medical modelling and research aerodynamics for automobiles with no wind tunnel. But programs remain expensive and mostly operated by governments and research centres.

AWS is hoping to slash costs, stating the new service will get 40% better price-to-performance than its similar offerings from AMD and Intel. AWS’s own engineering will quickly pass information through numerous Graviton processors, an integral supercomputing procedure in which many processors act as a hive mind to tackle a large task. AWS will let out the service so that investigators need not construct or manage a system.

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Supercomputing “is no longer this thing that only governments do,” Dave Brown, vice president of Elastic Compute Cloud in AWS, said in a interview.

The team at Platform Executive hope you have enjoyed the ‘Amazon’s cloud unit taps own chips for new supercomputing offering‘ article. Initial reporting via our official content partners at Thomson Reuters. Reporting by Stephen Nellis in San Francisco. Editing by Richard Chang.

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