AI is reshaping cloud and edge computing, shifting focus from training to real-time inference near data sources. Centralized cloud models can’t meet AI’s performance demands, driving the rise of decentralized AI inference and distributed cloud. This eBook explores how placing AI inference closer to users reduces latency, boosts performance, and supports critical use cases—from smart cities to healthcare. Akamai’s distributed cloud helps businesses deploy AI efficiently at scale. Organizations must act fast, align infrastructure, select use cases wisely, and adopt responsible governance to stay ahead in the AI race.

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