Question: I'm looking for a solution that enables AI processing on edge devices for smart city applications.

For running AI processing on edge devices for smart city use, Hailo offers high-performance AI processors tailored for edge devices. Its product line includes AI Vision Processors for high-quality video processing and analytics, AI Accelerators for running deep learning tasks, and Generative AI Accelerators for transformer models and LLMs. The company's solutions can be used in a variety of markets, including smart cities, for tasks like intelligent transportation systems and perimeter protection, with low latency, high accuracy and high efficiency.

Another good option is Eurotech, which offers secure, agnostic and certified edge AI solutions for mission-critical applications like industrial automation and transportation. Its products include certified edge platforms, anti-tamper protection and encryption for strong cybersecurity. Eurotech solutions also support accelerated cloud deployment and streamlined device management, which can be useful for smart city use that needs secure and efficient AI processing.

Coral is another option, promising fast, private and efficient AI processing with on-device inferencing. Coral products support frameworks like TensorFlow Lite and run on multiple operating systems, allowing for offline deployment and reliable inference for smart city use. That means data can be kept private and latency isn't a problem, making it a good option for real-time AI processing in cities.

Finally, NVIDIA has a variety of AI computing options that can be used on edge devices, including its EGX Platform and DGX Platform. The EGX Platform is designed to accelerate AI adoption and make data centers more efficient, and the DGX Platform is designed to accelerate AI and graphics, so either could be used for smart city applications that need high-performance computing and efficient AI processing.