Red Hat AI

Deliver AI value with the resources you have, the insights you own, and the freedom you need. 

Built on open source technology, Red Hat® AI is engineered to help you build and run AI solutions with confidence. 

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Red Hat AI brings AI closer to the enterprise

Introducing Red Hat AI Enterprise: A platform designed to bridge the gap between AI experimentation and global scale. It provides inference, model customization, deployment, and management capabilities with the flexibility to support any model on any hardware across any environment. 

Your models. Your data. Your choice.

For AI applications to operate at their best, they need fast, cost-effective inference. Red Hat AI provides a unified, flexible platform to achieve this, featuring llm-d—a framework for distributed inference at scale. 

Built on the success of vLLM, llm-d taps into the proven value of Kubernetes and offers consistent, efficient processing that delivers predictable performance.

As organizations shift to agentic, they need more than efficiency; they need an interoperable framework to connect models, data, and AI workflows across the hybrid cloud.

The introduction of a unified API layer based on Llama Stack provides an entry point for a wide range of AI capabilities. This includes integration with Model Context Protocol (MCP), making it easier to deliver and run agentic AI at scale in production environments.

Tuesday, Feb. 17 at 11 AM EST

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What’s new and what’s next with Red Hat AI

Join Red Hat AI leaders to hear the latest advancements in Red Hat AI.

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Red Hat AI Enterprise is an integrated AI platform for deploying and managing efficient, cost-effective models, agents, and applications. 

It unifies model and application lifecycles and offers core capabilities like model tuning, high-performance inference, and agentic AI workflow management. Built for flexibility, it supports any model and any hardware with the freedom to deploy anywhere. 

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Red Hat AI Inference Server optimizes model inference across the hybrid cloud for faster, cost-effective model deployments. 

Powered by vLLM, it includes access to validated and optimized third-party models on Hugging Face. It also includes LLM compressor tools.

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Red Hat OpenShift® AI builds on the capabilities of Red Hat OpenShift to provide a trusted and scalable AI platform for training, tuning, deploying, and monitoring machine learning models.

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Red Hat Enterprise Linux® AI is an out-of-the-box platform to consistently run large language models (LLMs) in individual server environments. 

With included inference capabilities that run on image mode, you get fast, cost-effective hybrid cloud inference, using vLLM to maximize throughput and minimize latency.

Validated performance for real-world impact

Red Hat AI provides access to a set of ready-to-use, validated third-party models that run efficiently on vLLM across our platform.

Use Red Hat third-party validated models to test model performance, optimize inference, and get guidance for cutting through complexity to accelerate AI adoption.

 

Red Hat AI use cases

Generative AI

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

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

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

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.

More AI partners. More paths forward.

Experts and technologies are coming together so our customers can do more with AI. A variety of technology partners are working with Red Hat to certify their operability with our solutions. 

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AI customer stories from Red Hat Summit and AnsibleFest 2025

Turkish Airlines

Turkish Airlines doubled the speed of deployment times with organization-wide data access.

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JCCM improved the region's environmental impact assessment (EIA) processes using AI.

DenizBank

Denizbank sped up time to market from days to minutes.

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Hitachi operationalized AI across its entire business with Red Hat AI.

AI quickstarts

A variety of hands-on business examples from our community to help current Red Hat customers get started. 

Red Hat AI in the real world

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Ortec Finance accelerates growth and time to market 

Ortec Finance, a global technology and solutions provider for risk and return management is serving ML models on Microsoft Azure Red Hat OpenShift and is adopting Red Hat AI.

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Phoenix systems offers next-level cloud computing

Find out how Phoenix Systems is collaborating with Red Hat to offer customers greater choice, transparency, and AI innovation.​

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Denizbank empowers its data scientists

DenizBank is developing AI models to help identify loans for customers and potential fraud. With Red Hat AI, its data scientists gained a new level of autonomy over their data.

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Build on a reliable foundation

Enterprises around the world trust our broad portfolio of hybrid cloud infrastructure, application services, cloud-native application development, and automation solutions to deliver IT services on any infrastructure quickly and cost effectively.

Red Hat Enterprise Linux

Support application deployments—from on premise to the cloud to the edge—in a flexible operating environment.

Learn more 

Red Hat OpenShift

Quickly build and deploy applications at scale, while you modernize the ones you already have.

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Red Hat Ansible
Automation Platform

Create, manage, and dynamically scale automation across your entire enterprise.

Learn more 

Red Hat AI
 

Tune small models with enterprise-relevant data, and develop and deploy AI solutions across hybrid cloud environments.

Learn more 

Explore more AI resources

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