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Real-time AI gets closer with Project Brainwave

May 8, 2018

Via: InfoWorld

Microsoft has the Azure ML platform to develop machine learning applications in the cloud, and Windows ML lets you bring your models to desktop PCs and edge systems using the ONNX standard. Now it’s bringing machine learning to a new platform: Azure’s high-performance FPGA (field-programmable gate array) systems with a public beta of its Project Brainwave service, originally announced a year ago.

FPGAs: Hardware for machine learning

General-purpose CPUs like those in our PCs, our datacenters, and the public cloud aren’t the fastest way to process data. They’re designed to be adaptable, running many different workloads. That gives them an economic advantage, as manufacturers can make many millions of them with no need to know how they’re going to be used.

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