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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 Server
Optimize model performance with vLLM for fast and cost-effective inference at scale.
Red Hat Enterprise Linux AI
Develop, test, and run generative AI models with optimized inference capabilities.
Red Hat OpenShift AI
Build and deploy AI-enabled applications and models at scale across hybrid environments.
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Learn Basics
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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.
What is Red Hat AI Enterprise?
Red Hat AI Enterprise is an integrated AI platform for building and running efficient, cost-effective AI models, 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.
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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. |
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.
Red Hat AI use cases
Generative AI
Produce new content, like text and software code.
Red Hat AI lets you run the generative AI models of your choice, faster, with fewer resources, and lower inference costs.
Predictive AI
Connect patterns and forecast future outcomes.
With Red Hat AI, organizations can build, train, serve and monitor predictive models, all while maintaining consistency across the hybrid cloud.
Operationalized AI
Create systems that support the maintenance and deployment of AI at scale.
With Red Hat AI, manage and monitor the lifecycle of AI-enabled applications while saving on resources and ensuring compliance with privacy regulations.
Agentic AI
Build workflows that perform complex tasks with limited supervision.
Red Hat AI provides a flexible approach and stable foundation for building, managing and deploying agentic AI workflows within existing applications.
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.
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.
