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Understanding AI-native cloud
AI-native cloud, or cloud-native AI, is still a new concept, but it is broadly understood as an extension of cloud native. It is infrastructure built with AI and data as cornerstones, allowing forward-thinking enterprises to infuse AI into their operations, strategies, analysis, and decision-making processes from the very start.
Differences between AI-native and traditional cloud models
Cloud computing has become integral to business operations, helping enterprises scale and adopt new technologies. In recent years, many organizations have shifted to a ‘cloud native’ approach, meaning they are building and running apps directly in the cloud to take full advantage of its benefits and capabilities. Many of today’s modern applications live in public, private, and hybrid clouds.
According to the Cloud Native Computing Foundation (CNCF), cloud native approaches incorporate containers, service meshes, microservices, immutable infrastructure, and declarative APIs. “These techniques enable loosely coupled systems that are resilient, manageable, and observable,” CNCF explains.
