Industrial teams are eager to implement AI in critical locations: on factory floors, at logistics hubs, in remote field operations, and as the intelligence driving robots. However, a significant number of such projects fail to move past the pilot phase. The primary obstacle is seldom the AI model itself. More often, challenges arise from the reality of edge environments, which are characterized by limited resources, inconsistent connectivity, and hard-to-access systems, often without local technical support. Red Hat Device Edge addresses this problem by delivering operational consistency for f
As agentic systems become common in the enterprise, it's clear to anyone concerned about sovereignty in AI factories: Inference is the hard part to scale.One of the many benefits of a sovereign cloud is agency in how you accomplish your operations. Sovereign AI means you have control over the agents in your applications, workflows, and value delivery chain. Much of agent behavior is dependent on interactions with the model, so a truly sovereign agentic system requires sovereign inference - which in turn demands accelerators and AI models that are fully under your control.For flexible and gener