Powering Self-Optimizing RAN with Lanner AstraEdge
Modern wireless networks are shifting from fixed, purpose-built systems into intelligent, adaptive platforms. By integrating AI directly at the telco cell site, the Radio Access Network (RAN) becomes self-optimizing, more efficient, and capable of supporting multi-purpose computing for next-generation 5G and future 6G services.
To support this transformation, AI-RAN deployments generally fall into three key categories: AI-for-RAN, AI-and-RAN, and AI-on-RAN. Lanner’s AstraEdge portfolio provides purpose-built edge AI platforms for each stage of this evolution.
AI-For-RAN
|
|
AI-For-RAN enhances radio performance by improving spectral efficiency, reducing energy use, and optimizing radio resources, utilizing neural algorithms to replace traditional hardware-based models in the physical layer. |
ECA-6710 |
 |
|
NVIDIA ARC-compact Computer
|
AI-And-RAN
 |
AI-And-RAN converges AI and RAN workloads on shared infrastructure, boosting utilization and enabling low-latency edge AI inference, effectively breaking down silos so that the same server can run 5G networks and internal AI tasks dynamically. |
ECA-5555 |
 |
|
Short-chassis RAN Computer
|
AI-on-RAN
 |
AI-On-RAN transforms the telecom edge into a service hub that powers advanced AI and GenAI applications directly on RAN platforms, enabling operators to offer high-value, real-time services like industrial automation and agentic AI. |
ECA-6050 |
 |
|
Scalable GPU Server
|