AWS Physical AI Blog

Category: Architecture

Build L1–4 Industrial Digital Twins with OpenUSD and SDMA on AWS

Introduction Digital twins shift manufacturing teams from reactive maintenance to predictive operations. A production-grade twin goes beyond static 3D. It ingests live data, predicts failures, and self-corrects as equipment ages. In this post, you’ll learn how to architect a multi-level digital twin on AWS using Universal Scene Description (OpenUSD) for scene composition and Spatial Data […]

AI-Powered Construction Document Analysis by Leveraging Computer Vision and Large Language Models

TwinKnowledge collaborated with AWS’s PACE team to develop a scalable computer vision and Large Language Model solution that efficiently processes thousands of architectural drawings while maintaining high accuracy, helping to reduce construction document errors and improve project efficiency through AI-augmented human review processes.

An image of a 3D car with 3D avatars of designers collaborating around the 3D car

3D Design Reviews On-demand with Autodesk VRED and AWS

Introduction 3D product visualization and virtual prototyping are integral to product design, especially in industries including Manufacturing and Automotive. Last year, teammates from the AWS Spatial Computing community wrote a blog post about Autodesk VRED, a software package that helps designers’ prototype and collaborate on high-quality streams or renders of engineering artifacts. That post, titled […]

Cover photo for Availability & Disaster Recovery for NVIDIA Omniverse Enterprise Nucleus

Availability and Disaster Recovery for NVIDIA Omniverse Enterprise Nucleus

NVIDIA Omniverse is a revolutionary platform, which allows creators and organizations to collaborate in real-time on 3D designs and simulations. It offers a wide range of integrations and tools to enable teams to work together, and to bring their ideas to life. One of the fundamental aspects of NVIDIA Omniverse is the ability to author […]