Meet up with Spatial Computing and Physical AI Specialists at AWS re:Invent 2025!

AWS re:Invent 2025 is just around the corner, and Spatial Computing & Physical AI specialists will be on hand at the event to share exciting technical presentations, workshops, chalk talks and more. Please join us to learn how AWS infrastructure and services enable autonomous systems to perceive, understand, and act in the real world.

Key Sessions to attend:

AWS & NVIDIA Physical AI Reception
Join AWS and NVIDIA for an evening of connection and innovation at re:Invent 2025. This exclusive networking reception will explore advancements in Physical AI with discussions on Robotics, Spatial Computing, Edge AI, Manufacturing, Energy and Automotive—complete with complimentary food and beverages.
Type: Reception, Register Here

Train, Simulate, Deploy: Building NVIDIA-Powered Physical AI on AWS 
Physical AI is changing robotics by enabling systems to interact intelligently with the world, but development requires extensive compute, simulation, and deployment resources. This session shows how NVIDIA’s Isaac platform combined with AWS allows end-to-end implementation: robots are trained and validated in high-fidelity simulated environments using Amazon EC2 GPU instances, with large-scale workloads orchestrated via AWS Batch and Isaac Lab for parallel experiments.
Type: Breakout session

Accelerating Physical AI Innovation with AWS
Today’s enterprises face mounting pressure to optimize physical operations, automate workflows, and create seamless physical-digital experiences, yet many lack the foundational architecture to scale these initiatives effectively. This executive session is designed for C-suite leaders and innovation architects from enterprises beginning their physical automation journey, demonstrating how AWS’s spatial data management solution enables physical AI to reduce operational costs and accelerating autonomous system deployment time. Through real-world case studies, attendees will learn how to build scalable spatial data architectures that enable next-generation autonomous systems – ultimately driving operational efficiency, reducing time-to-market, and creating sustainable competitive advantages in their physical operations. Type: Individual Meetings

AWS Spatial Data Management Solution Deep Dive
Discover how AWS’s new spatial data management solution can transform your organization’s spatial data landscape and drive results from better digital understanding of physical assets. This session, led by AWS Spatial Data Management leaders, will demonstrate how this new solution serves as a secure, scalable single source of truth for 3D, geospatial, and behavioral data, breaking down traditional silos and liberating spatial assets from silos. Learn how industry pioneers, with a focus on Energy, Auto/Mfg., and Aerospace/Public Sector are leveraging this solution to enhance employee productivity, deepen customer engagement, and unlock new business value through spatial intelligence. You’ll leave with actionable insights to scale successful immersive projects or begin your spatial data journey. Type: Individual Meetings

Deploy and Use an Open Source Digital Asset Management Platform
Visual Asset Management System (VAMS) is a purpose-built, AWS native solution for the management and distribution of 3D assets for Spatial technologies. VAMS offers a simplified solution for organizations to ingest, store, and manage visual assets in the cloud, which empowers any user with a web browser to create and consume visual applications. By the end of this workshop you will learn: 1\ How to install VAMS to your AWS Account. 2\ How to create VAMS assets, pipelines, and workflows. 3\ How to use VAMS assets in your end applications. Type: Builder Session

Exploring the Spectrum of Architecture Patterns for 3D Rendering
Navigate AWS’s comprehensive suite of rendering solutions for spatial computing applications. From GPU-powered EC2 G instances to EC2 Mac 3D reconstructions, distributed rendering with Deadline Cloud, and real-time streaming via GameLift Streams, discover the optimal path for your 3D content delivery needs. Learn architecture patterns, cost optimization strategies, and best practices through practical examples. Whether you’re building games, architectural visualizations, or AR/VR experiences, understand how to leverage AWS services to scale your rendering pipeline effectively. Type: Chalk Talk

GenAI Storyboarding: From Sketch to 3D Scene with GenAI on AWS
Artist controlled AI content creation for visual storytelling. Learn how to transform initial sketches into concept-ready storyboards using Amazon Bedrock’s generative AI capabilities. Walk through a workflow that maintains artistic control while leveraging AI: sketch compositions, generate style-consistent 2D assets, convert images to 3D models, and compose dynamic scenes. See how this integrated pipeline enables rapid iteration for film pre-visualization, game level design, and UI prototyping. Discover techniques for maintaining visual coherence across generated assets, controlling camera movements, and sequencing shot — turning the unpredictability of AI into a reliable creative tool for professional workflows. Type: Chalk Talk

Holographic American Sign Language Translator Avatar and Chatbot
Experience an interactive American Sign Language (ASL) translation demo on the new Proto M2 holographic display. An Unreal Engine 3D Avatar optimized for the Proto interprets spoken questions (from any language) and creatively answers them in ASL through back-and-forth dialog. Multiple cutting-edge LLM’s are used for the comprehension of questions, answers, and their ASL translation. End users learn ASL and potential ways for engaging the deaf and hard of hearing (DHH) community. Type: Builders Fair

Driving Autonomous Operations with Data Sharing and Agentic AI
Agentic AI is essential for autonomous decision-making in industrial operations. These systems require complete and reliable data from both internal operations and external supply chain processes to function effectively. In this Chalk Talk, learn about the fundamentals and applications of agentic systems in manufacturing operations and see how AWS helps with efficient data access along the value chain to improve the quality of autonomous processes. Learn how data spaces, EDI, and native AWS services such as Amazon SageMaker provide established means for governed, cross-company data sharing at scale. Type: Chalk Talk

Zero Training Visual Defect Detection Using Amazon Nova
Transform your visual quality inspection process using Amazon Nova generative AI models, with no extensive image training required. This workshop covers core prompting techniques for quality inspection, defect detection with overlay visualization, and end-to-end solution integration. We will also cover Amazon Bedrock Model Distillation for cost optimization and integration with AWS IoT Greengrass to support low-latency applications and shopfloor deployment. You will leave with practical skills to implement visual quality inspection immediately with no computer vision or data science expertise required. Participants are welcome to bring their own image dataset to test. Type: Workshop

Smart Machines: Maximizing Business Value with Generative AI
Join this interactive chalk talk to explore smart machine architectures that maximize business value from connected machines using IoT, generative AI, and third-party integrations. Through white-boarding and live demonstrations, you’ll explore how to implement generative AI-powered use cases for smart machines, including assisted diagnosis and troubleshooting, machine fleet analysis, automated diagnostic reports, and voice-enabled support. Bring your complex scenarios to collaborate with AWS Industrial IoT and Generative AI experts to create innovative solutions for your specific needs. Type: Chalk Talk

NVIDIA XR AI – Powered by AWS 
Join this presentation by NVIDIA, Ramblr, and AWS to demonstrate XR AI. AI serves as the catalyst transforming XR from a niche visualization tool into a mainstream computing platform, enabling spatially-aware, context-aware, and interactive enterprise applications. The NVIDIA XR AI platform integrates Ramblr’s Visual Pipeline, NeMo Agent Toolkit, RAG, and custom agents. The solution runs flexibly on edge devices with NVIDIA hardware and scales in the cloud with AWS, positioning “Agentic AI on the Frontline” as a cost-effective, powerful approach for large-scale GPU-accelerated challenges, building foundations for human-robotics collaboration. Type: NVIDIA Booth Presentation, Monday, 1 Dec 2025, 5:00pm PST.

Feel free to connect with David Randle, Global GTM, Spatial Computing, or Dan Cotting, Mgr., WW Specialist SA Spatial. The AWS re:Invent 2025 event catalogue may be found, here.