How Vayavya Labs is scaling autonomous driving validation from cloud to edge

Autonomous driving validation cannot scale on road testing alone. Vayavya Labs introduces a SOAFEE blueprint for a cloud-to-edge validation testbench that enables scalable, cloud-native verification of AD stacks while maintaining behavioral parity between simulation and in-vehicle deployment. Built on SOAFEE’s Edge Workload Abstraction and Orchestration Layer, the architecture combines an Arm64-based AD stack running on AWS Graviton with a GPU-accelerated Carla simulation environment, synchronized through gRPC middleware for lock-step execution. Demonstrated with an ALKS cut-in scenario, this approach accelerates deterministic, large-scale validation for software-defined vehicles. Read the blueprint: https://www.soafee.io/blog/2026/vayavya-blueprint Stay connected with Arm: Website: http://arm.com/ Twitter: https://twitter.com/arm Facebook: https://www.facebook.com/Arm/ LinkedIn: https://www.linkedin.com/company/arm Instagram: https://www.instagram.com/arm/