The Red Hat Blog: Expert insights for navigating tech complexity

Learn how the Catalyst project addresses resource conflicts in O-RAN environments, ensuring network stability and autonomy. Discover the benefits of a collaborative intent management loop and knowledge graphs for conflict resolution.

Learn how Red Hat's advanced compute platform, containerized workloads, and fleet management technologies work together to control a live train demonstration through AI-based image recognition at the edge of the network.

Over the past year, the conversation around artificial intelligence has shifted from isolated experiments to the challenge of building fully AI-enabled enterprises that drive both revenue growth and operational efficiency. Red Hat is approaching this transformation with a dual mandate: building enterprise-grade AI platforms for its customers while simultaneously acting as "Customer Zero" by deploying those same tools internally. To...

Learn about the Catalyst project at DTW Ignite 2026, showcasing the capabilities of an AI native digital ecosystem in transforming a robotic dog into a connected, intelligent service platform. Discover how AI is moved from the device to the edge of the network to address limitations in standalone robots and allow for continuous learning, adaptability, and reduced costs.

Learn how open inference stacks can help manage the rising costs of agentic AI workloads, as per-token costs fall but total consumption rises. Discover the benefits of open source models running on self-managed infrastructure for enterprise-scale AI.