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Review: AWS AI and Machine Learning stacks up
Amazon Web Services provides an impressively broad and deep set of machine learning and AI services, rivalling Google Cloud and Microsoft Azure. Credit: Dreamstime
Amazon Web Services claims to have the broadest and most complete set of machine learning capabilities. I honestly don’t know how the company can claim those superlatives with a straight face: Yes, the AWS machine learning offerings are broad and fairly complete and rather impressive, but so are those of Google Cloud and Microsoft Azure.
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This year the annual re:invent conference organized by AWS was virtual, free and three weeks long. During multiple keynotes and sessions, AWS announced new features, improvements and cloud services. Below is a review of the main announcements impacting compute, database, storage, networking, machine learning and development.
Compute
On the very first day of the conference, Amazon announced EC2 Mac instances for macOS, adding after many years a new operating system to EC2. This is mainly targeted at processes that only run on Mac OS, like building and testing applications for iOS, MacOS, tvOS and Safari. The first part of Andy Jassy s keynote was focused on announcements related to compute options and serverless technologies. AWS introduced new instance types on different processors and EC2 families, including Intel Xeon M5zn instances, Graviton2-powered C6gn instances, Intel-powered D3/D3en instances, memory-optimized R5b instances and AMD-powered G4ad GPU instances. See InfoQ