Edge-forward: Akamai eyes sweet spot between centralized & decentralized AI inference

At KubeCon + CloudNativeCon Europe 2026, Lena Hall and Thorsten Hans of Akamai outlined how the company is evolving from a CDN provider into a developer-focused cloud platform for AI. Akamai’s strategy centers on low-latency, distributed computing, combining managed Kubernetes, serverless functions, and a distributed AI inference platform to support modern workloads. With a global footprint of core and “distributed reach” datacenters, Akamai aims to bring compute closer to users while still leveraging centralized infrastructure for heavier processing. This hybrid model enables faster feedback loops critical for applications like fraud detection, robotics, and conversational AI. To address concerns about complexity, Akamai emphasizes managed infrastructure and self-service tools that abstract away integration challenges. Its platform supports open source through managed Kubernetes and pre-packaged tools, simplifying deployment. Akamai also invests in serverless technologies like WebAssembly-based functions, enabling developers to build and deploy globally distributed applications quickly. Overall, the company prioritizes developer experience, allowing teams to focus on application logic rather than infrastructure management. Learn more from The New Stack about the latest developments around how Akamai is transforming to a developer-focused cloud platform for AI. Akamai Picks Up Hosting for Kernel.org Should You Care About Fermyon Wasm Functions on Akamai? Join our community of newsletter subscribers to stay on top of the news and at the top of your game.

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Edge-forward: Akamai eyes sweet spot between centralized & decentralized AI inference is an episode from The New Stack Podcast by The New Stack Podcast.

This episode is 00:22:02 long.

This episode was published on Apr 1, 2026.

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