Cisco Unified Edge with Red Hat
A unified Cisco and Red Hat edge platform that simplifies operations and enables scalable deployment of applications and AI across distributed environments.
As organizations expand AI, automation, and digital services beyond the data center, they must process and analyze data closer to where it is generated. However, traditional IT infrastructure was not designed for highly distributed edge environments that demand real-time performance, operational simplicity, and enterprise-grade security.
Managing thousands of edge locations often requires multiple hardware platforms, inconsistent software stacks, and manual deployment processes that increase operational costs and complexity. Organizations also face challenges supporting diverse workloads—including virtual machines, containers, Kubernetes applications, and AI inference—while maintaining consistent security, governance, and lifecycle management across remote sites.
Without a standardized edge platform, deployments become difficult to scale, operational silos emerge, and maintaining consistent performance and security becomes increasingly challenging. These issues slow innovation, increase risk, and delay the business value of edge computing and AI initiatives.
Cisco Unified Edge with Red Hat provides a validated, enterprise-ready architecture that simplifies deploying, operating, and scaling applications across traditional and intelligent edge environments.
The solution combines Cisco Unified Edge, which integrates compute, networking, security, and Cisco Intersight cloud management, with Red Hat OpenShift and Red Hat AI Inference to deliver a consistent platform for traditional enterprise applications, virtualized workloads, containerized applications, and edge AI. Built on a Cisco Validated Design (CVD), the solution reduces deployment risk through proven architectures, documented best practices, and validated interoperability.
Cisco Intersight provides centralized lifecycle management, zero-touch provisioning, Infrastructure as Code (IaC), policy-based automation, and fleet management, enabling organizations to consistently deploy, manage, and secure edge infrastructure across hundreds or thousands of distributed locations. Integrated security, continuous observability, and automated operations reduce operational complexity while improving resilience and uptime.
Together, Cisco and Red Hat help organizations modernize traditional edge infrastructure by consolidating diverse workloads onto a unified, open platform that can evolve as business needs change. Organizations can start with existing operational and enterprise applications and seamlessly expand to intelligent edge and AI use cases—supporting industries such as manufacturing, retail, financial services, healthcare, and transportation—while maintaining consistent operations from the edge to the hybrid cloud.
- Accelerate edge deployment and operations
Deploy and scale edge infrastructure faster with a Cisco Validated Design (CVD) that combines automated provisioning, Infrastructure as Code (IaC), centralized lifecycle management, and policy-based automation. Reduce operational complexity, improve deployment consistency, and efficiently manage edge environments at enterprise scale.
- Run any workload on a unified edge platform
Consolidate traditional, virtualized, containerized, and edge AI workloads on a unified platform powered by Red Hat OpenShift and Red Hat AI Inference. The open, modular architecture simplifies operations, improves infrastructure utilization, and provides the flexibility to evolve with changing business needs and emerging AI innovations.
- Scale from traditional OT to intelligent edge
Start with traditional edge workloads and scale seamlessly to support intelligent edge applications and AI as business needs evolve. The modular, validated architecture enables organizations to modernize at their own pace, extending existing investments while supporting new use cases across manufacturing, retail, financial services, healthcare, and other distributed industries.
