Red Hat, NVIDIA, and Palo Alto Networks collaborate to deliver an integrated, security-first foundation for AI-native telecommunications

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2026-03-01 ~1 min read www.redhat.com #openshift

⚡ TL;DR

Red Hat, NVIDIA, and Palo Alto Networks collaborate to deliver an integrated, security-first foundation for AI-native telecommunications An integrated, security-first foundation for AI-native service providers Advancing toward AI-native telco networks The adaptable enterprise: Why AI readiness is disruption readiness About the author Gurpreet Singh More like this Why the future of AI depends on a portable, open PyTorch ecosystem How does real-world AI deliver value? The Ask Red Hat example Technically Speaking | Build a production-ready AI toolbox Technically Speaking | Platform engineering for AI agents Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share AI-driven network operations are increasingly becoming central to how service providers manage network complexity, optimize performance, and deliver services faster and more efficiently. AI is no longer just an application-layer technology, it’s becoming foundational to how modern service provider’s networks function.

📝 Summary

Red Hat, NVIDIA, and Palo Alto Networks collaborate to deliver an integrated, security-first foundation for AI-native telecommunications An integrated, security-first foundation for AI-native service providers Advancing toward AI-native telco networks The adaptable enterprise: Why AI readiness is disruption readiness About the author Gurpreet Singh More like this Why the future of AI depends on a portable, open PyTorch ecosystem How does real-world AI deliver value? The Ask Red Hat example Technically Speaking | Build a production-ready AI toolbox Technically Speaking | Platform engineering for AI agents Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share AI-driven network operations are increasingly becoming central to how service providers manage network complexity, optimize performance, and deliver services faster and more efficiently. AI is no longer just an application-layer technology, it’s becoming foundational to how modern service provider’s networks function. However, to benefit from this shift, service provider infrastructure must become AI-native, which requires embedding AI directly into network operations, service platforms, and security models across the core, edge, and network. With this in mind, Red Hat is teaming up with NVIDIA and Palo Alto Networks to deliver an optimized architecture, designed for AI from the ground up—creating 2 architectural pillars by using Palo Alto Networks’ security capabilities running on Red Hat OpenShift and Red Hat OpenShift AI, powered with NVIDIA AI infrastructure and AI solutions. AI-native service providers require an architecture designed to operationalize AI as part of the network itself across centralized datacenters, edge environments, and network locations. At the core of this architecture is Red Hat OpenShift and Red Hat OpenShift AI , which serves as the common cloud-native platform for AI-native telecommunications (telcos). Red Hat OpenShift and OpenShift AI provide a consistent, enterprise-grade Kubernetes platform to deploy, manage, and govern both network functions and AI workloads across core, edge, and far-edge environments. This operational consistency allows service providers to introduce AI-driven capabilities without fragmenting operations or creating isolated environments. AI workloads are powered by NVIDIA-accelerated computing systems deployed across the network. NVIDIA RTX PRO Servers provide high-performance, energy-efficient AI acceleration for datacenter and edge AI workloads, while the NVIDIA Aerial RAN Computer (ARC) family of accelerated servers enables AI-driven RAN and network-edge intelligence. Together, these platforms deliver the performance and efficiency required for real-time inference, operational analytics, and AI-native network services. By pairing Prisma AIRS with OpenShift and NVIDIA BlueField , we enable a powerful synergy of centralized and distributed security enforcement—leveraging NVIDIA DOCA steering for hardware-level precision—specifically optimized for the demands of AI-driven telecom workloads.