AI Infrastructure Stack Review, 1H20: The Rapid and Varied Rise of the AI Stack
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This IDC Market Perspective discusses the pros and cons of a multitude of AI infrastructure stacks. IDC believes that the AI infrastructure stacks that vendors are developing have provided a boost to businesses' ability to get started with AI. It has allowed them to focus on the actual model development rather than on installing the virtualization, containerization, orchestration, frameworks and libraries, data science tool kits, and so on that they need to run their AI development. The fact that many vendors are creating such stacks furthermore provides businesses with a welcome choice. In this document, IDC showcases some of these stacks to demonstrate their comprehensiveness. One caveat though is that vendors should not let interoperability suffer from the increasing inclusion of proprietary components in their stacks."Businesses are benefitting tremendously from the AI infrastructure software stacks that server, processor, and coprocessor vendors are making available - several of which we are highlighted here," says Peter Rutten, research director, Infrastructure Platforms, Systems, and Technologies Group. "But beware of complexity and a lack of interoperability with these stacks."