AWS for Industries
Author: Olivier Sutter
Olivier Sutter is the Vehicle Technology Lead Solutions Architect at Amazon Web Services. He focuses on autonomous driving and software-defined vehicle workloads, helping automotive customers worldwide build end-to-end pipeline, leveraging cloud-scale compute, ML, and synthetic data generation. He's also passionate about agentic AI and how it can accelerate engineering workflows.
Building an End-to-End Physical AI Data Pipeline for Autonomous Vehicle 3.0 on AWS with NVIDIA
Autonomous Vehicles (AV) development has been maturing and is advancing through clear architectural changes: AV 1.0: classical modular stacks (perception → prediction → planning → control) with hand-engineered interfaces AV 2.0: multi-modal LLM end-to-end (E2E) learned stacks that reduce modularity and improve scaling with data AV 3.0: end-to-end reasoning VLA (Vision–Language–Action) systems that perceive, reason, […]
Accelerate Automotive Collaboration using Interconnected Virtual Embedded Development Targets on AWS
The development of modern vehicles requires extensive collaboration between automotive original equipment manufacturers (OEMs) and their multi-tiered supplier network. During the integration phase, an OEM and its supplier tiers verify that all components fit with one another and satisfy the OEM’s requirements. This phase is mostly performed towards the end of the vehicle development lifecycle […]
A Cloud-Native Environment for Distributed Automotive Software Development
Car drivers have become users that expect new and updatable features and a digital user experience in addition to driving comfort and safety. OEMs are thus committed to lay the foundations for faster innovation through a concept called Software-Defined Vehicle (SDV). This blog post demonstrates an example of how ETAS and AWS collaborate on cloud-native […]