AWS for Industries
Category: Amazon SageMaker HyperPod
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, […]
AWS re:Invent 2025 Recap for Automotive and Manufacturing
AWS re:Invent 2025, our flagship annual conference, took place December 1–5, 2025, delivering five days of keynotes, breakout sessions, product announcements, and live demos, introducing several new services and features. This recap focuses on the most relevant highlights for automotive and manufacturing: the core announcements, real-world customer examples, and featured demos. Everything is organized by […]
AWS re:Invent 2024 recap for the Automotive Industry
AWS re:Invent 2024 unveiled game-changing innovations powering the automotive future – autonomous driving breakthroughs, connected vehicle insights, generative AI assistants, sustainable supply chains, and legacy system modernization.


