Not every AI workload belongs in the cloud. Edge AI brings intelligence to the device — lower latency, better privacy, offline capability.
Why Edge AI¶
- Latency: Milliseconds vs. hundreds of ms
- Privacy: Data never leaves the device
- Offline: Works without connectivity
- Cost: No cloud charges
Hardware¶
Apple Neural Engine: 16 TOPS, Core ML. Qualcomm AI Engine: NPU in Snapdragon. NVIDIA Jetson: Edge GPU for industrial use.
Model Optimization¶
Quantization (FP32 → INT8), pruning, distillation — full-size models won’t run on the edge.
Use Cases¶
- Industrial QA: Visual inspection on the production line
- Predictive maintenance: Vibration analysis on IoT devices
- Retail: Anonymous people counting
Edge AI Complements Cloud AI¶
It’s not cloud vs. edge — it’s cloud + edge. Quick inference locally, complex analysis in the cloud.
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