Tag: Nvidia

Empowering Smarter Decisions at the Edge In today’s data-driven world, businesses must deliver insights faster, enhance customer experiences, and improve efficiency. Traditional data processing often falls short of meeting real-time decision-making needs. In a manufacturing plant, sensor data can detect machine deterioration, but traditional cloud-based data analysis may not generate insights fast enough to prevent […]

Introduction Customers in manufacturing, logistics, and energy sectors often have stringent requirements for needing to run machine learning (ML) models at the edge. Some of these requirements include low-latency processing, poor or no connectivity to the internet, and data security. For these customers, running ML processes at the edge offers many advantages over running them […]

AWS continually evolves our edge computing offerings to provide customers with the technology they need to extend AWS services to edge devices, such as consumer products or manufacturing equipment, and enable them to act intelligently. This helps customers avoid unnecessary cost and latency, and empower customers with the ability to manage edge devices securely and […]

NVIDIA’s GPU Technology Conference (GTC) 2019 is almost here! We don’t want you to miss any IoT content, so in this blog post we’ll share some technical demonstrations that show how emerging technologies, including IoT, edge computing, AI and machine learning, and robotics, will shape our world. In the AWS Booth (#1221) Anomaly Detection in […]