edge AI deployment 3

https://charlie-wiki.win/index.php/Why_the_open_AI_ecosystem_matters_for_real_innovation

Edge AI deployment means running AI models directly on local devices like cameras or sensors instead of in the cloud. This reduces latency, cuts bandwidth use, and keeps sensitive data on site. It's ideal for real-time applications in manufacturing, healthcare, or transportation where quick decisions matter and internet connectivity might be unreliable. Setting it up involves optimizing models to work efficiently within the device's limits.