Mohammed Faizan
15 Jan, 2025
Introduction to Edge AI: Why Move AI to the Edge?
AI is evolving, and Edge AI is leading the way! Unlike Cloud AI, which struggles with latency, privacy risks, and high costs, Edge AI processes data locally on devices, enabling real-time decisions, lower bandwidth usage, and enhanced security.
In this blog, we break down the key differences between Cloud AI and Edge AI, explore real-world use cases, and share best practices for deploying AI on edge devices using TensorFlow Lite, ONNX Runtime, and EverywhereML.
Discover how optimized AI models, efficient hardware selection, and smart deployment pipelines can supercharge IoT, robotics, and smart industries. The future of AI is at the edge—are you ready?
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