Connectivity

AI applications, particularly those in machine learning and deep learning, require the ability to process and transmit large datasets quickly. High-bandwidth fiber optic networks are essential to handle the heavy data transfer demands of AI systems.

To ensure minimal downtime, data centers should have multiple redundant connections to avoid single points of failure. Diverse connectivity paths from different providers ensure that connectivity remains intact even if one network fails.

Low latency is critical for many AI applications, especially in fields like autonomous driving or real-time financial trading. Ensuring direct access to high-speed networks and minimizing the distance between data sources and processing units can reduce latency and improve performance.