Red Hat, the global leader in open-source solutions, has launched Red Hat AI 3, marking a significant evolution in its enterprise AI platform. By integrating the latest advancements from Red Hat AI Inference Server, Red Hat Enterprise Linux AI (RHEL AI), and Red Hat OpenShift AI, the platform simplifies high-performance AI inference at scale. Consequently, organizations can more efficiently move workloads from proofs-of-concept to production while enhancing collaboration on AI-driven applications.
As enterprises move beyond AI experimentation, they encounter challenges such as data privacy, cost management, and handling diverse AI models. The “GenAI Divide: State of AI in Business” report by the Massachusetts Institute of Technology NANDA project underscores this reality, revealing that around 95% of organizations fail to generate measurable financial returns from approximately $40 billion in enterprise AI spending.
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Red Hat AI 3 directly addresses these hurdles by offering a consistent, unified experience for CIOs and IT leaders, maximizing investments in accelerated computing technologies. Organizations can rapidly scale and distribute AI workloads across hybrid, multi-vendor environments while improving cross-team collaboration on next-generation AI workloads, including AI agents all on a single platform. With an open-standards foundation, Red Hat AI 3 supports any model on any hardware accelerator, from datacenters to public cloud, sovereign AI environments, and edge deployments.
From Training to Enterprise AI Inference
Shifting AI initiatives to production emphasizes inference the operational phase of AI. Red Hat AI 3 prioritizes scalable, cost-effective inference, leveraging the vLLM and llm-d community projects alongside Red Hat’s model optimization capabilities to deliver production-grade serving of large language models (LLMs).
With Red Hat OpenShift AI 3.0, CIOs gain general availability of llm-d, which enables intelligent distributed inference on Kubernetes. This approach reduces costs, improves response times through inference-aware scheduling, and provides operational simplicity with prescriptive “Well-lit Paths” for large-scale deployments. The platform supports multiple hardware accelerators, including NVIDIA and AMD, ensuring predictable performance, measurable ROI, and optimized infrastructure planning.
A Unified Platform for Collaborative AI
Red Hat AI 3 fosters collaboration through features such as Model as a Service (MaaS), AI Hub, and Gen AI Studio, allowing teams to centrally manage models, prototype applications, and securely access AI resources. Additionally, the platform includes validated models like OpenAI’s gpt-oss, DeepSeek-R1, Whisper, and Voxtral Mini to accelerate development.
Laying the Foundation for Next-Generation AI Agents
The new release introduces a Unified API layer based on Llama Stack and supports the emerging Model Context Protocol (MCP), promoting interoperability across AI tools. Furthermore, Red Hat AI 3 offers modular tools for model customization, synthetic data generation, and evaluation hubs for fine-tuning LLMs using proprietary datasets.
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Supporting Quotes
Joe Fernandes, Red Hat: “As enterprises scale AI from experimentation to production, they face a new wave of complexity, cost and control challenges. With Red Hat AI 3, we are providing an enterprise-grade, open source platform that minimizes these hurdles.”
Dan McNamara, AMD: “As Red Hat brings distributed AI inference into production, AMD is proud to provide the high-performance foundation behind it.”
Mariano Greco, ARSAT: “As a provider of connectivity infrastructure for Argentina, ARSAT handles massive volumes of customer interactions and sensitive data.”
Rick Villars, IDC: “2026 will mark an inflection point as enterprises shift from starting their AI pivot to demanding more measurable and repeatable business outcomes.”
Ujval Kapasi, NVIDIA: “Scalable, high-performance inference is key to the next wave of generative and agentic AI. With built-in support for accelerated inference with open source NVIDIA Dynamo and NIXL technologies, Red Hat AI 3 provides a unified platform.”
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