Amazon Web Services Takes the Silicon Wars to the Cloud

Amazon Web Services Takes the Silicon Wars to the Cloud

Amazon Web Services Takes the Silicon Wars to the Cloud. Amazon Web Services’ (AWS) Peter DeSantis, senior vice president of global infrastructure and customer support, during his keynote at the cloud giant’s AWS Re:Invent.

Amazon Web Services’ (AWS) Peter DeSantis, senior vice president of global infrastructure and customer support, during his keynote at the cloud giant’s AWS Re:Invent, annual user event asserted that AWS’ processor and chip designs are superior for cloud-application performance, compared to processors CPU giants AMD and Intel provide while adding that AWS’s graphics processor performance beats that of GPUs that Nvidia — a leading GPU supplier — offers for machine learning (ML). He was referring to AWS Graviton2 processors, which are custom built by Amazon Web Services using 64-bit Arm Neoverse

As the dust settles following the explosion of options available on AWS, as well as on Azure and Google Cloud Platform (GCP), customers will likely increasingly scrutinize application performance and the cost/performance ratio the services offer. The underlying chip and server infrastructure will, in this way, serve as a key factor determining cloud native application performance, power consumption and, of course, cost.

The power of AWS’ flagship 64-bit ARM-based Graviton2 and other in-house-designed processors will thus play a major role in AWS’ hopes to allow customers to improve the performance of their application.

“What’s really exciting and transformative about deep investments in AWS silicon is being able to work across custom hardware and software to deliver unique capabilities,” DeSantis said. “And by working across this whole stack, we’re able to deliver these improvements faster than ever before.”

cloud native cloud services machine learning cloud aws

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