How Edge Devices Run Generative AI in Real Time with Cloud LLMs
Introduction: The Rise of Edge Devices in AI Artificial intelligence (AI) is changing quickly thanks to edge devices. Faster response times, lower latency, and improved privacy are made possible by these devices, which process data locally in contrast to traditional systems that only use cloud processing. These gadgets are at the forefront of the AI revolution, ranging from industrial controllers to smartphones and Internet of Things devices. These devices are essential to the collection, processing, and action of real-time data in the contemporary AI ecosystem. These devices provide previously unheard-of capabilities for industries, healthcare, automotive systems, and smart homes by executing generative AI applications locally while retaining connectivity to cloud-based large language models (LLMs). How Edge Devices Connect with Cloud LLMs for Real-Time Generative AI Predictive modeling, image synthesis, and natural language processing are examples of computationally demanding generative AI applications. Due to hardware constraints, it is frequently not feasible…
