AWS re:Invent 2026
November 30th - December 4th 2026
Venetian Convention & Expo Center
Las Vegas
Qualcomm Booth: 1838
From Cloud to Edge: Qualcomm at AWS re:Invent 2026
Qualcomm Technologies is thrilled to participate as a platinum sponsor at AWS re:Invent Las Vegas, the premier cloud and AI conference, bringing together the global cloud-native and hybrid cloud developer community, redefining how businesses operate and innovate. Qualcomm Technologies will be showcasing leading-edge solutions that span from device to cloud and offer robust AWS integrations.
Visit our booth and Qualcomm Theater experience to explore Qualcomm AI inference offerings and how they can be paired with AWS solutions for Hybrid AI implementations that enable cost-efficiency, performance, energy optimization, and security at the edge. Our presence includes Qualcomm Dragonfly, Qualcomm Dragonwing, Qualcomm AI Hub, Modular, Edge Impulse, and Arduino demoing capabilities to build, optimize, deploy and maintain Edge AI implementations using real-world scenarios.
Event Information
Date
November 30th - December 4th, 2026
Location
Venetian Convention and Expo Center
201 Sands Ave, Las Vegas, NV
Qualcomm Booth: 1838
Event Information
Date
November 30th - December 4th, 2026
Location
Venetian Convention and Expo Center
201 Sands Ave, Las Vegas, NV
Qualcomm Booth: 1838
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BREAKOUT SESSION
Date: Monday November 30th, 2026
Time: 12:00pm PST
Location: MGM
AI is moving beyond the cloud, requiring developers to deploy intelligent workloads across data centers, edge infrastructure, vehicles, industrial systems, PCs, and mobile devices. The challenge is scaling AI efficiently across diverse hardware environments. In this session, learn how Qualcomm and AWS enable developers to build agentic AI applications across the compute continuum, from cloud training to real-time edge and on-device inference. Discover how open frameworks, portable AI runtimes, and streamlined workflows accelerate development and deployment. Through examples spanning automotive, IoT, industrial edge, mobile, data center, and cloud use cases, explore how a unified developer experience reduces complexity, increases flexibility, and helps deliver scalable AI applications anywhere.
Speaker: Vinesh Sukumar, Vice President Product Management, Qualcomm Technologies, Inc.
Featured Demos
DEMO
Strike a Pose: FLUX Photo Booth on the Modular Stack
This interactive demo showcases state-of-the-art generative AI through a live photo experience powered by the Modular stack. Attendees can take a photo and watch FLUX transform it into a custom image in seconds. The experience is served through Modular Cloud using AWS compute, demonstrating how developers can quickly bring advanced image-generation workloads into production while delivering responsive, engaging generative AI experiences.
DEMO
Edge Impulse and AWS: Hybrid AI for Visual Inspection
This demo showcases an end-to-end visual inspection workflow combining Edge Impulse edge AI with AWS cloud services for manufacturing quality inspection. Developers can deploy custom computer vision models to production-grade hardware and Arduino VENTUNO Q, perform AI-powered inspection at the edge, and extend the solution with AWS cloud services to incorporate LLM and agentic AI capabilities. The demonstration uses the Advantech ICAM-300, Arduino VENTUNO Q, and Edge Impulse to highlight a scalable approach to intelligent industrial inspection.
DEMO
VENTUNO Q + AWS: Rapid Robotics Prototyping
This demo illustrates how developers can rapidly build intelligent robotics applications using Arduino VENTUNO Q and AWS. A robotic arm uses on-device AI for real-time person tracking, voice control, and diagnostics, with the complete AI pipeline running locally for fast operation without requiring continuous cloud connectivity. Arduino Cloud or AWS IoT Core can optionally capture telemetry for remote monitoring, demonstrating how local AI processing and cloud connectivity can work together in robotics applications. The solution incorporates VENTUNO Q, Edge Impulse, and AWS IoT Core.
DEMO
Agentic AI Flywheel for ADAS
This demo demonstrates an agentic AI workflow designed to simplify automotive development and data engineering. Using natural language, developers can ask an AI agent to discover, inspect, and curate relevant driving scenarios across multimodal datasets including images, video, and vehicle trajectories. The agent identifies relevant and diverse examples and prepares selected datasets for downstream processing through RaaS, turning developer intent into actionable automotive development workflows rather than functioning as a traditional chatbot. Running on AWS, the solution incorporates AWS AD1/QCR100, Amazon EKS, and Amazon EC2 together with the Snapdragon Ride ADAS/AD development ecosystem based on SA8650 and SA8797 platforms.
Booth location:
Expo Hall | Booth 1838
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