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What Is Edge AI?
Running AI models on devices instead of the cloud.
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AiTechWorlds
AiTechWorlds
Edge AI runs artificial intelligence directly on devices instead of the cloud, enabling fast, private, offline intelligence. This visual guide covers on-device models, TinyML, model optimization, hardware accelerators, and edge AI use cases.
Running AI models on devices instead of the cloud.
Edge is faster, private, and works offline.
Low latency, privacy, and no network needed.
Devices make predictions locally.
Running tiny ML models on microcontrollers.
Shrink models to fit small devices.
Use smaller numbers to cut size and speed up.
Remove unneeded parts of a model.
NPUs and TPUs speed up on-device AI.
Data never leaves the device.
Works without internet.
Face unlock and photo enhancement on-device.
Detect objects locally in real time.
Health monitoring without the cloud.
Instant decisions for safety.
Edge devices have limited energy.
Edge for speed/privacy; cloud for heavy models.
Combine on-device and cloud AI.
TensorFlow Lite and ONNX run models at the edge.
Smarter devices that think for themselves.
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