NVIDIA Edge Computing Solutions
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Create a Faster, Smarter, More Connected World
In retail stores, warehouses, city streets, and hospitals, billions of IoT sensors generate nonstop data. Only by processing it instantly at the network edge can organizations boost service quality, streamline operations, and even save lives.
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Revisit EDOM 2024 Jetson Day
This forum brought together industry experts and technology leaders to share the latest NVIDIA Jetson applications and solutions, exploring how to unlock its full development potential and accelerate the deployment of next-generation intelligent systems.
Industries Are Using NVIDIA Edge Computing Solutions
IoT and mobile devices embed processors at the edge to collect data, enabling AI to process information right where it’s generated rather than in the cloud or data center, accelerating real-time decision-making and powering autonomous AI workflows.

Edge Computing for Retail
Top retailers use edge AI to adapt in real time to shifting consumer demands
- Shrinkage Prevention: On-shelf cameras and sensors run AI locally to spot errors, waste, damage, and theft the moment they occur.
- Inventory Alerts: Automated stock-level monitoring notifies staff when shelves run low, reducing costly out-of-stocks.
- Enhanced Shopping: Instant voice ordering, product searches, and personalized offers—all powered by low-latency edge processing—elevate in-store experiences.

Edge Computing for Smart Cities
Edge AI is turning streets, campuses, malls, and stadiums into intelligent environments
- Traffic Management: Vision AI analyzes live road conditions to ease congestion, cut costs, and shorten commutes.
- Beach Safety: Real-time hazard detection (rip currents, dangerous surf) enables rapid alerts to protect swimmers.
- Airport Operations: AI-driven video analytics streamline turnarounds, optimize gate capacity, and boost safety protocols.

Edge Computing for Manufacturing and Automakers
Factories and assembly lines rely on edge AI to keep production running smoothly
- Predictive Maintenance: Early anomaly detection flags equipment at risk of failure, preventing unplanned downtime.
- Quality Control: Localized visual inspections identify defects in real-time, minimizing waste and rework.
- Worker Protection: AI-powered camera networks detect unsafe behaviors or zones, triggering instant alerts to avert accidents.

Edge Computing for Healthcare
Edge AI equips medical teams with tools that enhance both treatment and operations
- Smart Operating Rooms: Streaming video and device sensors feed AI models for image reconstruction, surgical guidance, real-time monitoring, and workflow optimization.
- Connected Hospitals: Bed-exit alerts, patient screenings, conversational AI, heart-rate estimation, and advanced radiology detection all run locally for reliable, low-latency performance.
Let's Dive In!
Harness NVIDIA technology to drive innovation at the edge. The Jetson series modules and development kits significantly accelerate the creation of edge AI applications.
Dive into the origins and inner workings of edge computing, and explore real-world use cases to see how it has become an indispensable growth engine for industries and leading enterprises.2024 NVIDIA Jetson Day
AI & Robotics Applications Tech Forum
NVIDIA Jetson is rewriting the future of intelligent tech.
Revisit our expert-led, theme-driven sessions to dive into cutting-edge trends and real-world applications.
Applications and Development in the NVIDIA AI Ecosystem
This session examined global trends in Edge AI and Generative AI, detailing how the Jetson ecosystem—with Orin modules, JetPack 6.x, and cloud services—powers digital twins, AI inference microservices, and multi-model agent architectures to accelerate deployment across industries.
NVIDIA Robotics Platform: The Threefold Challenges of Training, Simulation, and Inference
This talk introduced “the three computers problem,” demonstrating how an end-to-end stack—from DGX GPU-accelerated training through Isaac Sim/Omniverse simulation to Jetson Orin inference—enables rapid validation and deployment of advanced robotics and vision solutions.
Learn More About AI at The Edge
Discover more use cases and explore the software and hardware resources tailored to your development goals and environment.



