Modern distributed computing architectures support significant technological advances, such as AI and smart manufacturing. Each computing model is key to supporting advanced applications that ...

Forbes contributors publish independent expert analyses and insights. I am a 5x-founder & VC investing in AI A decade ago, artificial intelligence was still something we mostly thought of as science ...

Using edge systems to run elements of generative AI could be game-changing. It requires planning and skill, but this hybrid approach may be the future. Historically, large language models (LLMs) have ...

Data is the backbone of tech innovation. Storing, processing and managing IT resources and data impacts your tech system’s efficiency and expected output. The advent of cloud computing revolutionized ...

As smart cities, AI inference, and regional services focus on latency, sovereignty, and resilience, enterprises recognize that cloud computing will be notably more distributed than in the past. For ...

This article is part of a VB Special Issue called “Fit for Purpose: Tailoring AI Infrastructure.” Catch all the other stories here. No doubt, enterprise data infrastructure continues to transform with ...

The signs are everywhere that edge computing is about to transform AI as we know it. As AI moves beyond centralized data centers, we're seeing smartphones run sophisticated language models locally, ...

The tech space continues to fill up with buzzwords and loosely defined terms, so it's not surprising that enterprises have questions about the relationship between cloud and edge computing. Today, ...

Ask virtually anyone what's happening in the tech industry right now, and you'll hear the same answer: the AI is coming, the AI is coming. But while that high-level trend is obvious, what's been less ...

Enterprise computing is rapidly moving to the edge. By 2030, analysts expect more than $100 billion in annual edge spend and a majority of enterprise data to be generated and processed outside ...

Edge AI is a form of artificial intelligence that in part runs on local hardware rather than in a central data center or on cloud servers. It’s part of the broader paradigm of edge computing, in which ...

COMMENTARY: As more businesses modernize IT infrastructure to support remote operations and edge computing, they’re discovering that cloud-first strategies don’t always deliver on their promise – ...