Red Hat expands AI toolset to optimize hybrid cloud

With the latest AI features, Red Hat continues to solidify its position as a leader in enterprise AI innovation, ensuring organizations have the tools and support needed to accelerate digital transformation

Red Hat has introduced significant enhancements to its AI portfolio, aimed at helping enterprises reduce AI deployment costs, integrate private data more effectively, and scale AI implementations across hybrid cloud environments. The latest Red Hat AI updates bring advancements in model tuning, deployment flexibility, and security, reinforcing the company’s commitment to enterprise AI adoption.

The upgraded portfolio includes Red Hat AI 2025 features, such as improvements in Red Hat OpenShift AI 2.18 and Red Hat Enterprise Linux AI 1.4, alongside the launch of Red Hat AI InstructLab on IBM Cloud. These innovations are designed to help organizations operationalize AI strategies with greater efficiency.

Joe Fernandes, Vice President and General Manager of Red Hat’s AI Business Unit, emphasized the evolving enterprise needs in AI adoption, stating, “As businesses scale their generative AI use cases, they must manage rising costs, ensure seamless integration with private enterprise data, and deploy models across diverse environments. Red Hat AI tools empower organizations by providing purpose-built models that are optimized for flexible deployment across on-premises, cloud, and edge environments.”

Key enhancements in Red Hat AI solutions

The latest version of Red Hat OpenShift AI (2.18) introduces distributed serving through the vLLM inference server, enabling IT teams to optimize GPU utilization for large-scale model deployment. It also offers an improved model tuning experience, AI Guardrails for refining LLM accuracy, and a model evaluation framework powered by lm-eval.

Red Hat Enterprise Linux AI 1.4 introduces Granite 3.1 with multilingual capabilities, a new knowledge-sharing interface, and Document Knowledge-bench (DK-bench) to enhance AI model comparisons. Regis Lesbarreres, an AI specialist at Airbus Helicopters, praised these Red Hat AI advancements, stating that Red Hat’s AI vision aligns perfectly with enterprise needs, ensuring flexibility, transparency, and cost efficiency.

Simplifying AI training and deployment

Red Hat AI InstructLab on IBM Cloud is designed to streamline AI model training while bolstering security. Javier Olaizola Casin, Global Managing Partner at IBM Consulting, highlighted the importance of flexible and enterprise-ready AI solutions, stating, “Businesses require AI that is cost-effective, reliable, and tuned with trusted data. The latest Red Hat AI for developers delivers the consistency and efficiency needed to build and deploy AI applications seamlessly across hybrid cloud environments.”

To support businesses in their AI adoption journey, Red Hat has also introduced free AI Foundations online training courses, catering to both industry leaders and newcomers.

Anand Swamy, Executive Vice President at HCLTech, emphasized the role of infrastructure in unlocking AI’s full potential, stating, “Organizations must prioritize agile and adaptable AI platforms. By leveraging Red Hat AI tools alongside HCLTech’s AI expertise, enterprises can efficiently scale AI workloads, enhance security, and optimize infrastructure costs.”