Wind River and AMD address AI-RAN challenges
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Wind River, a leading name in software for the intelligent edge, has announced at WMC26 that it is collaborating with semiconductor company AMD on AI and RANs.
The aim of the partnership is to deliver the industry’s first commercially available platform that unifies open radio access network (open RAN) functions and artificial intelligence–powered radio access network (AI-RAN) workloads on shared hardware.
The solution, says Wind River, addresses a critical challenge facing operators: traditional approaches require separate systems for radio access networks and AI applications, which may double capital costs and create significant integration complexity.
By combining AMD EPYC CPUs with Wind River Cloud Platform, Wind River says it is providing a production-ready solution capable of hosting virtualised RAN functions and AI inference side by side on the same distributed platform. This architectural approach enables operators to introduce real-time AI capabilities including traffic prediction, anomaly detection, energy optimisation, and network intelligence, without the duplication that has constrained AI-RAN adoption to date.
The jointly engineered platform enables operators to reduce infrastructure costs and operational complexity by unifying open RAN and AI-RAN workloads on shared hardware instead of maintaining separate systems.
It also allows them to deploy AI-driven capabilities directly at the network edge, including real-time traffic prediction, anomaly detection, and energy optimisation alongside virtualised RAN functions.
In addition it permits operators to scale efficiently across thousands of distributed sites with automated lifecycle management, resiliency and fault tolerance and to evolve without hardware replacement, adding advanced AI capabilities as requirements grow while preserving architectural flexibility.
The partnership includes joint engineering focused on AI-RAN software stack optimisation and hardware-software co-optimisation, a development roadmap, and proof-of-concept deployments.


