Risk reduced, energy saved, and maintenance simplified at the edge
Compute-intensive applications at the edge
By the end of 2023, more than 50%* of large enterprises will deploy at least six edge computing use cases for IoT or immersive experiences. Edge computing will be a necessary enabler and Artificial Intelligence (AI) powered Edge computing (Edge-AI) is key to providing more real-time value, more immersive interactions, more data production, and more intelligence at the front end — closer to where people and things exist.
The challenges facing edge computing, AI and Edge-AI are numerous. Dense heat loads from the GPUs, power availability and increased energy consumption, physical security and tamper risks, reliability and resilience in harsh IT environments, and maintenance outside the data centre, are just some of the obstacles that enterprises will need to overcome to compute real-time value at the edge.