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Gartner: Winning in the edge

Published

26 October 2026

Topic

opportunities

◆ Sectors

AI InfrastructureCloud InfrastructureIoT & Edge

◆ Source

Read at computerweekly.com →

◆ Verified

Fusion42 · 26 October 2026 · Fusion42 review

Gartner identifies four main edge AI infrastructure provider types including CDN platforms, telecom localised networks, specialised neoclouds, and hyperscalers extending cloud capabilities to edge. The shift from commoditised GPU leasing to token-based, performance-first AI platforms aims to reduce cost, latency, and compliance risk while addressing agentic AI workflows demanding real-time, localised inference.

This Wire brief sits within Fusion42's coverage of AI Infrastructure, Cloud Infrastructure and IoT & Edge.

◆ ◆ The Wire takeaway

Edge AI is moving from raw GPU sales to token-based platforms that reduce enterprise financial risk and latency. If you build edge AI infrastructure, you must pivot to token-efficient, performant models or face margin pressure and commoditisation.

◆ Coverage

1 source · 26 Oct 2026

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◆ Topics

AI InfrastructureCloud InfrastructureIoT & Edgeedge-aiinfrastructure-shiftgpu-commoditizationtoken-economicsagentic-ai