As you know these Generative AI (GenAI) and Large Language Models (LLMs) stuffs are evolving currently, We’re seeing a spike in demand for AI capabilities that can run directly on our everyday devices.

Imagine your smartphone, security camera, or even your smart wearables processing AI tasks right then and there, without sending data to the cloud. This is what Edge AI is all about.

A great example of this is Apple’s recent introduction of on-device intelligence called “Apple Intelligence”.

On-device AI offers several key advantages:

• Privacy: Data stays on the user’s device rather than being sent to cloud servers.

• Offline functionality: AI features work without an internet connection.

• Reduced latency: Processing happens locally, enabling faster responses.

• Lower costs: Less reliance on cloud computing resources can reduce operational expenses.

• Personalisation: Models can adapt to individual users more easily when running locally.

• Regulatory compliance: Helps meet data protection regulations by keeping sensitive information on-device.

• Reduced network load: Decreases the amount of data transmitted, benefiting areas with limited connectivity.

This shift towards Edge AI is reshaping how we interact with AI in our daily lives, making it faster, more private, and more accessible than ever before