AWS Expands Scope of AI Services Portfolio

MIKE VIZARD | November 29, 2018

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Artificial intelligence (AI) applications requiring access to massive amounts of data to drive machine and deep learning algorithms are clearly an ideal workload for public clouds. Amazon Web Services (AWS) this week made it clear that it views AI as a critical workload for the cloud by launching no fewer than 13 different additional AI services.Launched at the AWS re:Invent 2018 conference, those services span everything from tools that make it easier to train AI models to an additional instance of the AWS P3 service that provides access to 100G Ethernet connections.In addition, AWS promised to deliver a new type of processor, dubbed AWS Inferentia, optimized to provide AI applications with access to hundreds of teraflops of processing horsepower per processor. AWS CEO Andy Jassy promised conference attendees that AWS Inferentia will be able to support multiple data types and AI frameworks, including TensorFlow, Apache MXNet and PyTorch.

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