📱 Edge AI Deployment

Deploy ML models on mobile, IoT, and embedded devices efficiently

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Scaling Inference

Introduction to Edge AI

🎯 What is Edge AI?

Edge AI runs machine learning models directly on devices (smartphones, IoT sensors, embedded systems) rather than cloud servers. This enables real-time processing, privacy, and offline capability.

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Key Insight

Edge AI brings intelligence closer to data sources, reducing latency and bandwidth.

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Mobile Devices

Smartphones, tablets with powerful processors

Apple Neural Engine, Snapdragon
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IoT Devices

Smart cameras, sensors, gateways

Raspberry Pi, Jetson Nano
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Embedded Systems

Microcontrollers, tiny devices

ESP32, Arduino, STM32

✨ Benefits of Edge AI

Low Latency

Process data locally without network round trips

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Privacy

Sensitive data stays on device, never transmitted

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Offline Operation

Works without internet connectivity

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Cost Efficient

Reduces cloud infrastructure and bandwidth costs

🎯 Use Cases

Real-time Object Detection

AR apps, autonomous drones, security cameras

Voice Assistants

Offline speech recognition, wake word detection

Predictive Maintenance

Industrial IoT sensors detecting equipment failures

Health Monitoring

Wearables analyzing heart rate, activity patterns