AI Infrastructure and Kubernetes for Containerized Applications

AI Infrastructure and Kubernetes for Containerized Applications

This IDC Perspective discusses the popularity of Kubernetes and analyzes how its benefits and issues apply regarding its use as an infrastructure platform for AI development. AI development is a complex task with a significant number of potential failure points if not handled properly. Having a stable, reliable infrastructure platform base can be key to a successful launch, and Kubernetes is one of the best infrastructure platforms available for organizations if managed properly."Choosing a reliable, manageable, and strongly supported infrastructure can make or break application production," says Max Pepper, senior research analyst, IT Infrastructure at IDC. "As AI development rapidly expands, using Kubernetes as a containerized infrastructure platform should be strongly considered for any AI project with benefits like its strong community support and high level of portability, among others."

Please Note: Extended description available upon request.


Executive Snapshot
Situation Overview
What Is Kubernetes and Why Is It Popular?
Kubernetes in Regard to AI Infrastructure
The Benefits of Kubernetes for Developing AI Infrastructure
The Drawbacks for Kubernetes for Developing AI Infrastructure
Advice for the Technology Buyer
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