Edge AI

Edge AI is the combination of edge computing and AI. Understand why we push computing to the network edge for real-time decision-making.

Learn why edge computing is essential to computer vision processes and what it does for computer vision applications.

Learn the most important differences and advantages of NVIDIA Jetson devices and what Jetson series to use for AI and Computer Vision systems.

Intel Xe is the first discrete GPU from Intel. Learn about the different variants and how Xe GPUs are optimized for AI workloads.

Vision Processing Unit (VPU) chips are optimized for inference with pre-trained deep learning models, powering computer vision applications.

Edge devices perform computational tasks locally to process collected data on device-level, allowing to build real-world AI systems.

Edge Computing moves computing from the cloud to the network edge. On-device real-time data processing enables new applications.

Specialized AI hardware for machine learning inference on edge devices. List of the most popular AI accelerators of today.

Google Coral powers AI hardware for on-device computer vision applications. The AI accelerators allow fast and cost-efficient AI inferencing.