Red Hat, the worlds leading provider of open source solutions, today announced Red Hat AI 3, a significant evolution of its enterprise AI platform. Bringing together the latest innovations of Red Hat AI Inference Server, Red Hat Enterprise Linux AI RHEL AI and Red Hat OpenShift AI, the platform helps simplify the complexities of high-performance AI inference at scale, enabling organizations to more readily move workloads from proofs-of-concept to production and improve collaboration around AI-enabled applications.
As enterprises move beyond AI experimentation, they face significant hurdles, including data privacy, cost control and managing diverse models. "The GenAI Divide: State of AI in Business" from the Massachusetts Institute of Technology NANDA project, highlights the reality of production AI, with approximately 95 of organizations failing to see measurable financial returns from 40 billion in enterprise spending.
Red Hat AI 3 focuses on directly addressing these challenges by providing a more consistent, unified experience for CIOs and IT leaders to maximize their investments accelerated computing technologies. It makes it possible to rapidly scale and distribute AI workloads across hybrid, multi-vendor environments while simultaneously improving cross-team collaboration on next-generation AI workloads like agents, all on the same common platform. With a foundation built on open standards, Red Hat AI 3 meets organizations where they are on their AI journey, supporting any model on any hardware accelerator, from datacenters to public cloud and sovereign AI environments to the farthest edge.