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You get agility through cloud by making the cloud self-service.
Machine learning is a rising star in the compute constellation, and for good reason. It has the ability to not only make life more convenient – think email spam filtering, shopping recommendations, and the like – but also to save lives by powering the intelligence behind autonomous vehicles, heart attack prediction, etc. While the applications of machine learning are bounded only by imagination, the execution of those applications is bounded by the available compute resources. Machine learning is compute-intensive and it turns out that traditional compute hardware is not well-suited for the task.
Many machine learning shops have approached the …
Building Intelligence into Machine Learning Hardware was written by Nicole Hemsoth at The Next Platform.