Models don’t generate revenue. Applications do.

While your teams are already experimenting with AI, moving from an experiment to a scalable product is a massive leap—and your infrastructure shouldn't be what holds you back.

Bringing innovative AI-driven products to market requires planning. It requires identifying the right resources to build and deploy them. It requires scale. It requires a whole new approach—one where your platform handles the complex logistics of hardware, security, and networking so your AI-enabled applications can actually perform.

Red Hat OpenShift provides the consistent, scalable environment needed to bridge that gap.

OpenShift brings intelligence directly into the platform, fundamentally accelerating your teams and their applications delivery, while simultaneously making your existing OpenShift environment smarter and easier to manage. We are moving you out of the business of infrastructure maintenance and into a state of fluid momentum. By modernizing your application platform today, you build the essential bridge to tomorrow. OpenShift scales your team’s potential through more intelligent observability insights (not just more logs), resource management for allocating compute, and the flexibility and security for your sovereign AI strategy. Run it yourself, tie it into a hybrid model, and rely on it to guide your users when they need help: it’s the enterprise foundation built to run your virtual machines (VMs), your containers, and your AI workloads side by side.

Human velocity: End the 3 AM fire drills

Platform engineers are drowning in alerts, logs, and complexity. When something breaks, they spend hours sifting through logs just to find the root cause. This manual toil drains your most valuable resource: time.

To address this, we are evolving how teams interact with OpenShift. Through Red Hat OpenShift Lightspeed, admins can simply ask the platform a question in natural language, like, “Are my workloads healthy?” and get a direct answer. Instead of scrolling through endless lines of logs, your team gets a clear explanation. 

This intelligence isn't about replacing experts; it’s about scaling them. It helps junior admins get up to speed quickly, while allowing seasoned experts to bypass busywork and diagnose complex issues instantly. A properly equipped team can fix things faster and confidently manage larger, more diverse cloud environments.

Infrastructure efficiency: Protecting your IT budget

On a small scale, managed providers can sometimes be cheaper, but once you hit a certain threshold, you’re stuck paying a massive premium to rent API tokens. OpenShift changes this economic equation by letting you own your infrastructure and turn hardware into a competitive cost advantage. The Red Hat build of Kueue automatically shares and queues tasks for your most expensive accelerators across multiple teams. Critical AI jobs get the exact high-performance computing power they need, right when they need it, while your traditional applications run smoothly right alongside them to maximize use. You can scale your AI initiatives without hoarding hardware or locking yourself into a single vendor, keeping your IT budget firmly under control.

Safer autonomy: Trust in the agentic future

You can't operationalize AI if you don’t have absolute trust in the system. When you move beyond simple chat interfaces into the future of autonomous, agentic AI, your top priorities shift to security, network traffic, and data sovereignty.

OpenShift provides a more security-focused, sovereign environment for modern AI tooling. Through integrated Model Context Protocol (MCP) servers and MCP gateway, your preferred AI tools and autonomous agents safely interact with your environment.

But as you scale these complex AI deployments across hybrid clouds, managing the API traffic becomes critical. While OpenShift’s gateway handles the native Kubernetes traffic, Red Hat Connectivity Link steps in as your universal “air traffic control.” It efficiently manages multicluster connectivity, global load balancing, and disaster recovery (DR) so your distributed AI workloads never go offline. 

You control the network traffic and who you're serving globally. You control the software supply chain. You dictate exactly what these agents can and can't do. Your business can safely deploy sophisticated AI workflows across any footprint without risking proprietary data leaks or violating strict compliance regulations.

When you add in Red Hat OpenShift AI, you unlock a dedicated AI gateway for Models-as-a-Service (MaaS)—giving you precise token rate limiting, policy enforcement, and observability to govern autonomous agents at scale. Additionally, OpenShift AI provides full operational oversight to the MCP gateway via evaluations, tracing and observability, upholding the integrity of the entire agentic AI lifecycle from metal to agents.

Illuminate the path forward

OpenShift delivers a unified foundation where intelligent tools and existing workloads coexist. It removes friction, replacing it with velocity and control so you can stop managing systems and start innovating.

Join us at OpenShift booth RH-501 at the 2026 Red Hat Summit in Atlanta to learn more and explore the platform in action.