Menu

Red Hat AI: An Open AI Platform for Hybrid Cloud and Enterprise

In: All, Article

In today’s rapid adoption of artificial intelligence, one major challenge remains: how to integrate AI quickly, securely, and efficiently—without sacrificing control over data or infrastructure flexibility.

Red Hat AI addresses this challenge head-on. As an open-source AI portfolio, Red Hat AI enables organizations to build, develop, and operate both generative and predictive AI solutions in a hybrid cloud environment. This gives enterprises complete freedom to run AI on their chosen infrastructure—on-premises, in public cloud, or at the edge.

The Three Core Pillars of Red Hat AI

1. Red Hat Enterprise Linux AI (RHEL AI)

RHEL AI serves as the foundation for developing and deploying large-scale Large Language Models (LLMs). Featuring Granite LLM from IBM and the InstructLab fine-tuning framework, RHEL AI helps data science teams:

  • Build models from scratch or refine existing ones.
  • Test performance in a consistent and secure environment.

Deploy models to a variety of targets, from local servers to cloud infrastructure.

2. Red Hat OpenShift AI

If RHEL AI is the foundation, OpenShift AI is the MLOps/LLMOps ecosystem that ensures models can be managed throughout their entire lifecycle.
With OpenShift AI, organizations can:

  • Train, test, and monitor AI models at scale.
  • Integrate data science pipelines with open-source tools like Jupyter and Kubeflow.
  • Leverage GPU acceleration for both training and inference.

This platform is ideal for enterprises that require AI governance, bias and drift monitoring, and limitless scalability.

3. Red Hat AI Inference Server

For fast and cost-efficient inference needs, the Red Hat AI Inference Server offers an optimized vLLM engine. With model compression tools, pre-optimized model repositories, and hardware acceleration integration, it enables:

  • Consistent and fast AI responses.
  • Performance tuning for different workloads.
  • Reduced operational costs for inference.

Why Enterprises Choose Red Hat AI

Adopting Red Hat AI delivers strategic advantages:

  • Infrastructure Flexibility – Run AI anywhere, without vendor lock-in.
  • Full Data Control – Keep sensitive data in secure, managed environments.
  • Open Ecosystem – Seamlessly integrate with popular AI tools and frameworks.
  • Scalability and Efficiency – Support AI workloads from small to large scale with optimal performance.

Ready to Start Your AI Transformation?

Red Hat AI empowers enterprises to harness the full potential of AI—without compromising freedom or security. Whether you’re building an intelligent chatbot, analyzing massive datasets, or automating business processes with generative AI, Red Hat AI provides the foundation and tools you need.

Have any questions: +6289501100001