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Moor Insights & Strategy

Broadcom Mainframe Software Analyst Summit: Meeting Enterprise AI At The Customer's Pace The Claude-ification Effect - Does Microsoft Copilot Cowork Offer Something New? 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RESEARCH NOTE: RPT-1 Is Turning SAP Data Into Insightful AI RESEARCH NOTE: Dell Pro 14 Premium Laptop with 5G Connectivity BROADCAST ANALYSIS: Patrick Moorhead Discusses NVIDIA Earnings on Yahoo Finance, February 25, 2026
PULSE BRIEF: Cloud-Native Edge AI Platforms
2026-04-07 · via Moor Insights & Strategy

The AI Computing Continuum

Enterprise AI transforms how organizations monitor, plan, and operate — leveraging cloud infrastructure and datacenter resources to drive decisions at scale. AI also operates at the edge, where local inference enables real-time intelligence close to the data. But between these two worlds — enterprise AI and the operational systems that run physical infrastructure — the connections required for a true computing continuum rarely exist. Operational equipment, distributed facilities, and embedded systems remain poorly integrated with the enterprise AI infrastructure that organizations increasingly depend on.

This disconnect has deep roots. Enterprise IT advanced rapidly through two decades of cloud software, large-scale compute hardware, and AI innovation. But organizations that operate physical infrastructure — e.g., factories, energy systems, vehicles, medical equipment, telecommunications facilities — depend on edge computing systems engineered for fundamentally different priorities: industrial-grade reliability, deterministic control, extreme longevity in challenging environments, and unattended operation. These constraints shaped robust, specialized platforms that evolved in isolation from mainstream IT. Hence the AI discontinuity.

Previous attempts to bridge this gap misdiagnosed the problem. So-called “end-to-end solutions” have usually proven brittle, costly, and vendor-specific. Integration frameworks that attempted to reshape edge platforms into miniature enterprise systems ignored operational constraints and collapsed under their own weight. Moving AI as close to the data as possible is the smartest thing enterprises can do. But getting it there requires rethinking how enterprise and operational systems connect, not forcing impractical integration.

Click the image below to download and read the full analyst pulse brief:
Cloud-Native Edge AI Platforms

TABLE OF CONTENTS
The AI Computing Continuum
The Agentic AI Imperative
Closing the Gap
The Cloud-Native Edge
The Wind River Cloud-Native Edge Platform
Getting Started
The Agents Are Coming — Are Your Edge Systems Ready?

COMPANIES CITED
Wind River