Global open source solutions company Red Hat said on Feb. 27 it launched Red Hat AI Enterprise, an integrated AI platform that can deploy and manage AI models, agents and applications across hybrid cloud environments.

The company said Red Hat AI Enterprise will be newly added to its Red Hat AI portfolio, which includes Red Hat AI Inference Server, Red Hat OpenShift AI and Red Hat Enterprise Linux AI.

Red Hat also launched Red Hat AI 3.3 and will provide key updates and improvements across its entire AI portfolio. The solutions provide a comprehensive metal-to-agent stack that integrates advanced inference and agent capabilities into Linux- and Kubernetes-based infrastructure.

The company said enterprise AI is rapidly shifting from simple chat interfaces to high-density autonomous agent workflows that require close integration across the technology stack. Many companies, however, remain in the pilot stage due to fragmented tools and inconsistent infrastructure.

Red Hat stressed that Red Hat AI Enterprise addresses these issues by integrating model and application lifecycles.

Joe Fernandes (조 페르난데스), vice president and general manager of Red Hat's AI business unit, said, "For AI to create tangible business value, it must operate as a core component of the enterprise software stack, not as isolated silos." He said, "Red Hat AI Enterprise is an integrated platform that connects infrastructure and innovation. By integrating advanced tuning and agent capabilities into Red Hat Enterprise Linux and Red Hat OpenShift, it provides the full stack from GPU-accelerated hardware to the models and agents that run business logic. With Red Hat AI 3.3, enterprises can move beyond fragmented pilots and build a repeatable, high-performance AI operating environment with governance across the hybrid cloud."