Understanding AI-native cloud: from microservices to model-serving

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Understanding AI-native cloud

AI-native cloud, or cloud-native AI, remains to be a brand new idea, however it’s broadly understood as an extension of cloud native. It’s infrastructure constructed with AI and information as cornerstones, permitting forward-thinking enterprises to infuse AI into their operations, methods, evaluation, and decision-making processes from the very begin.

Variations between AI-native and conventional cloud fashions

Cloud computing has turn out to be integral to enterprise operations, serving to enterprises scale and undertake new applied sciences. Lately, many organizations have shifted to a ‘cloud native’ strategy, which means they’re constructing and operating apps immediately within the cloud to take full benefit of its advantages and capabilities. A lot of as we speak’s trendy functions stay in public, personal, and hybrid clouds.

In keeping with the Cloud Native Computing Foundation (CNCF), cloud native approaches incorporate containers, service meshes, microservices, immutable infrastructure, and declarative APIs. “These methods allow loosely coupled programs which can be resilient, manageable, and observable,” CNCF explains.

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