Linux Plus

Running AI workloads requires more than powerful hardware.



AI-ready infrastructure must support scalable compute, fast storage, secure containerized platforms and efficient data pipelines.



The infrastructure behind AI determines how effectively organizations can turn data into intelligence.

Looking to prepare your environment for AI workloads? Let’s design an infrastructure that scales with innovation. 👉 [email protected]

💡 What Makes This Integration a True Breakthrough?

When we talk about the integration of Red Hat RHOSP 17.1 with Cisco ACI, we’re not just checking boxes, we’re pushing the boundaries of enterprise cloud networking.

Here’s why this milestone matters:

✅ Fully Automated Network Provisioning

Say goodbye to manual, error-prone configurations. Our integration enables seamless, automatic provisioning and management of network resources “from orchestration to action” reducing complexity and accelerating time-to-deploy.

✅ End-to-End Validation with Real Production Scenarios

This wasn’t a theoretical success or a lab demo. We ran rigorous, real-world scenarios, including traffic routing, external networking, and internet access, to ensure everything works exactly as it should in live enterprise environments.

✅ Seamless Connectivity at All Layers

From east-west traffic between internal services, to north-south communication with external networks, and multi-tenant segmentation, the setup is scalable, secure, and ready for real-world enterprise use cases.

At Linux Plus, we create best practices

Manual infrastructure configuration is becoming a thing of the past.



Leading IT teams now treat infrastructure like software using Infrastructure as Code.



This approach enables faster deployment, reduced errors, and consistent environments across teams.

Ready to move from manual infrastructure to automated environments? Let’s discuss how to get started. 👉 [email protected]