Bring NVIDIA AI to the edge for real-time performance.
Overview
Create a Faster, Smarter, More Connected World
The vast amounts of data generated by IoT sensors across various industries offer incredible opportunities to enhance services, optimize operations, and save lives. To achieve this, businesses must deploy AI computing at the network edge for real-time decision-making.
Benefits
Transform Your Devices With Edge Computing
At the edge, IoT and mobile devices use embedded processors to collect data. Bringing AI to these devices lets edge computing process this data locally, eliminating the need to transmit it to the cloud or data center. This accelerates the AI pipeline, enabling real-time decision-making and autonomous operations.
Lower Latency
Processing data at the point of action means data travel is reduced or eliminated, accelerating AI.
Improved Security
When sensitive data is processed locally, it doesn’t need to be sent to the cloud, so it’s better protected.
Reduced Cost
Sending data to the cloud demands bandwidth and storage. Local processing lowers those costs.
Wider Reach
Edge computing occurs locally without the need for internet access. That expands the places AI can go, including into orbit.
Products
Innovate at the Edge With NVIDIA
The convergence of AI, cloud-native applications, IoT sensors, 5G networking, and space computing is revolutionizing edge computing. NVIDIA solutions across enterprise, embedded, and industrial edge domains are delivering tangible results by automating intelligence and driving real-time decision-making at the point of action.
Resources
See What’s New in Edge Computing
-
Blogs
-
Sessions
-
Use Cases