Red Hat AI

Red Hat AI is an enterprise-grade artificial intelligence platform designed to help organizations develop, deploy, and scale AI solutions across hybrid cloud environments. The platform delivers fast, cost-effective inference and optimized models to support agentic workflows and enterprise workloads. Built on Red Hat's trusted open source foundation, it provides the infrastructure needed to run AI applications from on-premise data centers to public clouds and edge deployments.

Key Features:

• Optimized AI Models - Access pre-tuned foundation models and large language models optimized for enterprise performance and efficiency, reducing the complexity of model selection and deployment.

• Efficient Inference - Deploy AI inference workloads with cost-effective resource utilization, enabling organizations to scale AI applications without excessive infrastructure costs.

• Hybrid Cloud Deployment - Run AI solutions consistently across any infrastructure including on-premise, public cloud, and edge environments using Red Hat's hybrid cloud platform.

• Agentic Workflow Support - Build and deploy agentic AI applications with a platform designed to support autonomous AI systems and complex workflow orchestration.

• Red Hat Enterprise Linux AI - Leverage the enterprise Linux foundation optimized for AI workloads with built-in security, stability, and support.

• Red Hat OpenShift AI - Deploy containerized AI applications at scale using Kubernetes-based orchestration with integrated MLOps capabilities.

• Red Hat AI Inference Server - Serve AI models efficiently with a dedicated inference server optimized for production workloads.

• Enterprise Security and Support - Benefit from Red Hat's enterprise-grade security practices, compliance certifications, and world-class technical support.

To get started with Red Hat AI, organizations can explore the platform through Red Hat's product trial center, access documentation and learning resources through the AI learning hub, or engage with Red Hat consulting services for AI implementation guidance. The platform integrates with major cloud providers and supports deployment on AWS, Microsoft Azure, Google Cloud, and IBM Cloud environments.