Red Hat launches platform to scale enterprise AI

Red Hat has announced Red Hat Enterprise AI, an integrated AI platform for deploying and managing AI models, agents and applications.

Red Hat Enterprise AI aims to address the ‘pilot phase’ problem of implementing autonomous agentic workflows by unifying the model and application lifecycles, allowing IT teams to manage AI as a standardised enterprise system rather than a siloed project.

The company touted faster and more scalable AI inference, integrated observability and lifecycle management, and hybrid cloud flexibility as key benefits of the platform.

The company has also introduced Red Hat AI 3.3, which, together with Red Hat AI Inference Server, Red Hat OpenShift Ai and Red Hat Enterprise Linux AI, is designed to provide a comprehensive ‘metal to agent’ stack.

This stack integrates the underlying Linux and Kubernetes infrastructure with advanced inference and agentic capabilities, intending to help organisations move from fragmented experimentation to governed, autonomous operation.

Red Hat AI 3.3, the latest update to the company's platform of products and services for the development and deployment of AI across the hybrid cloud, introduces an expanded model ecosystem; self-service access to AI models; expanded hardware support; a unified data-to-model lifecycle; enhancements to AI observability and safety; and on-demand access to GPUs resources.

“For AI to deliver true business value, it must be operationalised as a core component of the enterprise software stack, not as a standalone silo,” said Joe Fernandes, VP and GM at Red Hat’s AI business unit.

"AI Enterprise is designed to bridge the gap between infrastructure and innovation by providing a unified metal to agent platform. By integrating advanced tuning and agentic capabilities with the industry-leading foundation of Red Hat Enterprise Linux and Red Hat OpenShift, we are providing the complete stack - from the GPU-accelerated hardware to the models and agents that drive business logic.

"Additionally, with Red Hat AI 3.3 organisations can move beyond fragmented pilots to governed, repeatable and high-performance AI operations across the hybrid cloud.”