The global transformation is rapidly scaling the demands for flexible computer, networking, and storage. Future workloads will necessitate infrastructures that can seamlessly scale to support immediate responsiveness and widely diverse performance requirements. The exponential growth of data generation and consumption, the rapid expansion of cloud-scale computing and 5G networks, and the convergence of artificial intelligence (AI) and high-performance computing (HPC) into new usages requires that today’s data centers and networks evolve now— or be left behind in a highly competitive environment.

 

 

In modern era, AI is omnipresent. It has been applied and utilised in several fields including robotics, mobile connected devices, and autonomous mobility. However, the success of AI does not succeed at the first try; in fact, various stages contribute the prevalence of AI today. For instance, the foundation of AI innovation is based on AI algorithm which contains 4 phases:  data capture, data analysis, data category and data application. Sensors are utilised during data capture and edge computing is needed in the next phase, data analysis. AI framework is the backbone of data category and for the eventual application of the sorted data, cloud computing is the ultimate support behind it.