AI-Powered Edge Networking with Dell, Intel, and Canonical
Enable real-time insights and critical communications at the edge
The convergence of AI and 5G is transforming how enterprises operate in environments like factories, hospitals, campuses, and logistics hubs. To meet the demand for ultra-reliable, low-latency applications, infrastructure at the edge must be secure, scalable, and tightly integrated, without adding operational complexity.
In this technical solution brief, Canonical outlines how Dell, Intel, and Canonical deliver a complete edge platform using:
- Dell PowerEdge XR8000 hardware, designed for rugged, space-constrained deployments
- Intel Xeon Scalable Processors, optimized for AI inference and network performance
- Canonical MicroCloud and Canonical Kubernetes, forming a lightweight, scalable cloud-native foundation
- Druid Raemis 5G Core, providing carrier-grade mobile core network functions
- Airspan control platform, managing the 5G radio access network (gNB)
- Ecrio iota-e, applying AI inference and image recognition to detect non-compliance conditions and signal critical events over the network
You’ll learn how this architecture supports mission-critical use cases including worker safety, smart hospital operations, industrial automation, and private 5G deployments with integrated RAN control.
What you’ll find inside
The brief provides a detailed description of the solution’s architecture, showing how hardware and software components work together to support edge AI and 5G applications. It explains how MicroCloud enables efficient virtualization, how Canonical Kubernetes simplifies orchestration, and how each layer contributes to real-world performance and scalability. It also walks through several practical use cases that highlight the value of deploying AI and networking functions close to where data is generated.
Download the full solution brief
Fill out the form to access the PDF and explore how Canonical, Dell, Intel, and ecosystem partners are redefining AI and 5G at the edge.