Use case

Scaling AI with Red Hat AI

Accelerate AI production

Moving from AI experimentation to production introduces major challenges, like high cost and governance risks. Red Hat® AI empowers platform engineers and ITOps to build resilient, trustworthy AI solutions without vendor lock-in, on any hardware. 

Built on open source transparency and Kubernetes-based hybrid cloud scalability, Red Hat AI centralizes the deployment and management of production AI workflows. We give you control to scale projects while reducing operational complexity.

Speed up deployment of AI inference and agents with a unified platform built for any environment.

Enhance security with container-native protections while retaining data sovereignty.

Gain verifiable control over your platform, models, agents, and outputs with transparency at every step.

What you can do

Deploy and scale AI workloads across hybrid and multi-cloud environments, including on-premise datacenters, public clouds, and the edge. Production efficiency is delivered through optimized runtimes like vLLM and llm-d

Retail discovery analyst

Enhance retail discovery with an AI assistant that activates governance for loyalty analytics using secure, policy-aware natural language queries.

IT support agent

Launch an AI agent that can help solve common IT issues like laptop refresh requests, software licensing requests, and more.

Software development assistant

Deploy a private AI code assistant powered by NVIDIA Nemotron models and delivered through Red Hat AI's integrated Models-as-a-Service (MaaS) offering.

E-commerce engagement aide

Integrate AI-driven product recommendations, automated review summarization, and enhanced search capabilities into an e-commerce storefront.

Investigation workflow specialist

Build investigative workflows with retrieval-augmented generation (RAG) and NVIDIA models on Red Hat AI, with built-in inference, governance, and observability. 

Patient privacy associate

Build a healthcare AI assistant that ensures your large language model has multiple layers of protection, including personally identifiable information (PII) detection and content moderation.

AI Quickstarts

Current Red Hat customers can access AI quickstarts, blueprints for quickly moving AI workflows from experimentation to production. Find quickstarts for these use cases and more. 

Learn how it works

Deploy, manage, scale, and control AI workloads across hybrid environments.

Accelerate enterprise software development with NVIDIA and MaaS. Video duration: 7:35

Features

Learn how Red Hat AI helps organizations deploy AI solutions at scale.

MaaS

Simplification with pre-trained models

MaaS provides access to pre-trained and custom models. This lets platform engineers provide governed, self-service access to models while controlling API keys, usage, and access policies.

Sovereign AI

Engineered trust and control

Support sovereignty with compliance-aware infrastructure. This means you can trust your models because you can see them, verify them, and control them, end-to-end.

GPUs

Optimize GPU utilization

Overcome GPU scarcity with intelligent workload scheduling. Proactive autoscaling, priority-based access, and quota enforcement support fair-share access across teams, eliminating idle waste.

MLOps, GenAIOps and AgentOps

Automation and reproducibility

Integrated MLOps, GenAIOps and AgentOps tooling provides the automated pipelines, central registries, and observability required to operate models and agentic workflows consistently. 

AI security

Layered approach to security

Built on decades of Kubernetes security expertise, we apply a layered approach to AI reliability, adding AI guardrails, MLflow agent traceability, and air-gapped deployment support.

AI hub

Control and discover

Manage and explore AI assets in a centralized place. Access our model registry, browse our curated ecosystem of validated models, and evaluate models and tools for specific use cases. 

Sovereign AI with Red Hat AI

This webinar explains how organizations can scale AI usage responsibly—optimizing cost, performance, and control without sacrificing capability.

233% ROI with Red Hat AI

A Forrester Consulting study, commissioned by Red Hat, found that a composite organization—based on current Red Hat AI customers—realized an ROI of 233% by deploying Red Hat AI.1

Your vendors are your choice

We work with software and hardware vendors and open source communities to offer a holistic AI solution. 

Access partner products and services that are tested, supported, and certified to perform with our technologies.

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What's next?

Try it

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Buy it

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Get up and running

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Talk to a Red Hatter

Forrester Consulting study, commissioned by Red Hat. “Forrester Total Economic Impact™ Of Red Hat AI." February 2026.