What Is the Red Hat OpenShift AI Model Catalog? In this blog, we will learn about the Red Hat OpenShift AI Model Catalog. The open-source AI ecosystem is thriving, offering an unprecedented variety of powerful models. Developers can now choose from reasoning-focused architectures like DeepSeek and Kimi K2, highly versatile solutions like the popular Qwen…
GitOps Driven Application Deployment on OpenShift with Argo CD Modern application delivery demands speed, consistency, and reliability. Traditional deployment methods often fall short when managing complex containerized environments. This is where GitOps comes in—and tools like Argo CD make it powerful and practical on Red Hat OpenShift. What is GitOps? GitOps is an operational approach…
Enhancing AI Development with the MCP Catalog on OpenShift AI In this blog, we will learn how to enhance AI development with the MCP catalog on OpenShift AI. The growing adoption of AI agents across enterprises is driving demand for secure and scalable integration with organizational platforms, applications, and data resources. Red Hat OpenShift AI…
How AI Agents are Redefining the Role of Developer Portals In this blog, we will learn how AI agents are redefining the role of developer portals. The rise of AI-powered coding assistants and autonomous agents has sparked an interesting debate within the platform engineering community. Some argue that Internal Developer Portals (IDPs) are becoming obsolete.…
Bridging AI Insights and Automated Operations In this blog, we will learn how to turn AI Insights into Automated Operations. Artificial intelligence is transforming every stage of IT operations. Modern AI systems can identify issues, analyze root causes, recommend solutions, and even execute corrective actions. However, as AI expands operational capabilities, it also introduces new…
Building AI-RAN Solution with NVIDIA Aerial and Red Hat OpenShift In this blog, we will learn how to build an AI-RAN solution with NVIDIA Aerial and Red Hat OpenShift. The telecommunications landscape is undergoing a significant transformation as Radio Access Networks (RAN) evolve from hardware-centric systems into flexible, software-driven platforms. Built on cloud-native architectures, modern…
How to Build research platform that science needs with RedHat AI In this blog, we will learn How to Build the Future of AI Research: Unifying HPC, Cloud-Native Infrastructure, and AI Services. Large language models (LLMs) become significantly more valuable when they are customized for specific domains. Fine-tuned models allow organizations to embed institutional knowledge,…
Boost Automation with Ansible Content Collections In this blog, we will learn how to boost automation with Ansible content collections. Accelerating IT Automation with Enhanced Ansible Content Collections One of the major advantages of Red Hat Ansible Automation Platform is its ability to support a broad range of IT automation scenarios with flexibility and scalability.…
Building Red Hat AI That Works in the Real World In this blog, we will learn how Red Hat AI works in the Real World. Most leaders I speak with have already moved beyond the initial excitement surrounding AI. The discussion is no longer about whether AI is important, but rather how organizations can transition…
A Smarter Way to Run Multiple AI Models In this blog, we will learn how to run Multiple AI Models in a Smarter way. The excitement around Large Language Models (LLMs) is impossible to ignore. From intelligent customer support and document analysis to AI coding assistants and automation workflows, organizations across industries are racing to…