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.
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...
Learn how SiMa.ai and Wind River have partnered to deliver an integrated edge AI platform that combines SIMA.ai's Machine Learning System-on-Chip (MLSoC) and Palette software with Wind River’s eLxr Pro. This joint solution enables high-per...
See how Helix Platform enables multiple functions to run on a single system, each deployed and updated independently via Wind River Conductor - for Aerospace & Defense, Industrial Manufacturing, and Automotive.