This demo describes an ecosystem collaboration that achieved up to 57% energy efficiency improvement. Participants included Ampere, Arm®, Fujitsu, Marvell, Supermicro, SynaXG, and Wind River.
At MWC Barcelona 2026, Wind River Systems CTO Paul Miller explained how the convergence of OpenRAN and edge AI is reshaping telecom and enterprise markets. Highlighting major production deployments with Verizon, Vodafone, and Telus, Miller ...
Wind River helps overcome the inefficiencies of complex, manually configured Radio Access Networks by providing scalable, CU/DU-based AI-RAN solutions on a widely deployed cloud platform.
Wind River Cloud Platform delivers a complete solution to deploy, monitor, and manage AI workloads on NVIDIA GPUs at the resource-constrained edge. Coupled with Wind River Conductor for independent model lifecycle management and Wind River ...
Wind River enables AI and RAN workloads to run side by side on a single cloud-native edge platform—turning RAN sites into cloud-native micro data centers. The result is real-time intelligence at the edge, improved network efficiency, and ne...
By combining Nota AI’s model compression and deployment tools with Wind River’s edge infrastructure, customers benefit from reliable, high-performance AI even in settings where compute, memory, and power are limited. Teams gain solutions th...
Latent AI, a Stanford Research Institute spinoff, optimizes ML models for edge devices through an automation framework that matches models to hardware, cutting prototyping by 4–6 months. Partnering with Wind River, it simplifies model deplo...