-
Products & documentation Red Hat AI
A platform of products and services for the development and deployment of AI across the hybrid cloud.
Red Hat AI Enterprise
Build, develop, and deploy AI-powered applications across the hybrid cloud.
Red Hat AI Inference
Optimize model performance with an integrated stack for fast, consistent, and cost-effective inference at scale.
Red Hat Enterprise Linux AI
Develop, test, and run generative AI models to power enterprise applications.
Red Hat OpenShift AI
Build and deploy AI-enabled applications and models at scale across hybrid environments.
-
Learn Basics
-
AI partners
Red Hat AI Enterprise
Red Hat® AI Enterprise provides the foundation for building, developing, and deploying AI-powered applications across the hybrid cloud.
Quick links
What is Red Hat AI Enterprise?
Red Hat AI Enterprise is an integrated AI platform for deploying, managing, and scaling AI inference, agentic AI workflows, and AI-powered applications on any infrastructure. It ensures your AI applications stay fast and responsive, even as user demand grows. With layered security and safety, the platform enables hybrid cloud agility while mitigating risk.
This video can't play due to privacy settings
To change your settings, select the "Cookie Preferences" link in the footer and opt in to "Advertising Cookies."
Product highlights
Accelerate future adoption of new technologies from a stable, reliable foundation.
| Feature | Details | Benefit | |
|---|---|---|---|
Customize models with control | Training Hub interface allows use of private data and offers continual and reinforcement learning. | Build, fine-tune, and manage workflows for generative, predictive, and agentic AI applications. | |
Manage the end-to-end model lifecycle | Build with familiar tools and frameworks on a single, centralized platform with a Kubernetes core. | Reduce complexity and increase efficiency from development to deployment. | |
Scale without complexity | Meet the demands of foundational models and generative AI by deploying them with vLLM and llm-d. | High throughput, low-latency model serving with intelligent scaling. | |
Access a centralized catalog and registry | Experiment with validated and optimized models, Model Context Protocol (MCP) servers, and AI agents. | Simplify discovery and explore options to find what works best for your use case. | |
Implement AI guardrails | Monitor models with performance tracking, as well as data and concept drift detection. | Keep models and outputs fair, transparent, and reliable in real-world deployments. | |
Optimize resource allocation | Run models across different GPU platforms and hybrid cloud environments. | Reduce operational cost with efficient GPU usage and faster deployments. |
233% ROI with Red Hat AI
Red Hat commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying Red Hat AI.
After interviewing Red Hat AI customers, the analysis found that a composite organization realized an ROI of 233% over 3 years, representing a total value of more than triple their initial investment.1
Red Hat AI Factory with NVIDIA
Red Hat AI Factory with NVIDIA combines the power of Red Hat AI Enterprise with NVIDIA AI Enterprise. This co-engineered solution lets teams customize, manage, and scale production models with enterprise-grade reliability and efficiency.
AI quickstarts
Explore a variety of innovative AI use cases from our community. These simple, focused examples have been designed for fast and easy deployment on the Red Hat AI platform.
Why choose Red Hat AI?
Build on a trusted foundation that supports any model and any agent on any hardware accelerator—across the hybrid cloud. Red Hat AI gives organizations the freedom to deploy where their data, compliance, and cost requirements demand.
Inference
Manage model complexity with fast, efficient inference powered by vLLM and the control to run any model on any accelerator across the hybrid cloud.
Data
Customize domain-specific agentic AI use cases with models connected to your organization’s own private data.
Agents
Simplify and accelerate your journey to successful agentic AI adoption with governance and control.
Platform
Deploy resilient, trustworthy AI solutions on a foundation of open source transparency and hybrid cloud scalability.
Partnerships
Get more from Red Hat AI Enterprise by extending it with other integrated services and products.
MCP servers
Integrate enterprise tools and resources into your AI applications and agentic workflows.
Validated models
Access a repository of third-party models that are validated to run on the Red Hat AI platform.
AI customer stories from Red Hat Summit and AnsibleFest 2025
Turkish Airlines doubled the speed of deployment times with organization-wide data access.
JCCM improved the region's environmental impact assessment (EIA) processes using AI.
Denizbank sped up time to market from days to minutes.
Hitachi operationalized AI across its entire business with Red Hat AI.
Latest Red Hat AI news
More AI resources
New product
Build on an integrated AI platform with Red Hat AI Enterprise.
Blog
Bridge the gap from experimentation to production scale.
Get up and running
Manage AI in production with an enterprise-grade platform.
Talk to a Red Hatter
1Forrester Consulting study, commissioned by Red Hat. “Forrester Total Economic Impact™ Of Red Hat AI."February 2026.
