If you’re unsure about the load of different AI workloads, start with the cloud and keep a close eye on the associated costs by tagging every resource with the responsible team.

How wisely IT and business leaders plan and choose infrastructure can keep them from being doomed to pilot purgatory or AI damnation.

A research brief from CoBank looks at how farm-centric ag tech tools can boost customer relationships and efficiency.

As few as two years ago, almost no one had any idea that AI server farms would become the most electricity-hungry business in ...

Edge AI represents the convergence of AI and edge computing, enabling AI algorithms to run directly on local devices rather ...

Picture this: you're sitting in a coffee shop, running the same AI models that tech giants use in their massive data centres, ...

In Japan, telecom operator KDDI is working with HPE to construct Nvidia-powered AI infrastructure at the Osaka Sakai data ...

This server provides a Model Context Protocol (MCP) interface for interacting with Kontent.ai's Management and Delivery APIs. It enables AI assistants to access and manipulate Kontent.ai content using ...

When enterprise adoption requires server farms full of energy-hungry GPUs just to run basic AI services, we face both an ...

Utilities in the developed world are stressing over how to keep up with demand from data centres and artificial intelligence ...

Equinix (NASDAQ: EQIX) is a powerhouse in digital infrastructure and part of a new class of innovative real estate investment ...

While beneficial uses of AI continue to increase, its biggest downfall is the pollution it produces. However, this tech may ...