From the course: Amazon Web Services Machine Learning Essential Training

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Understanding ML virtual servers

Understanding ML virtual servers - Amazon Web Services (AWS) Tutorial

From the course: Amazon Web Services Machine Learning Essential Training

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Understanding ML virtual servers

- [Narrator] In this next section, we're going to address the question, "Should I use a server, virtual machine or, actually, a server cluster for machine learning?" It's really a key question and it's quite timely as the vendors, including Amazon, are upgrading their services to reflect changes in underlying compute options. What do I mean by that? Well, I started the course not with servers, which would be typical for machine learning a couple of years ago, rather with APIs. We looked at just working with endpoints and being charged by the service call for things like automatic image labeling and text-to-speech translation, common machine learning tasks these days. Next, I looked at SageMaker, which is a scalable set of componentized services that you can use in any combination to suit you. Of course, there still is a lot of server-based machine learning work out there, but my point is to get you thinking and to consider using some of the newer options because they can allow for a…

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