Part 2/6:
The first dynamic is rooted in the evolution of computing approaches. Traditional general-purpose computing has reached its limits, necessitating a shift towards more advanced methodologies. This transition is characterized by a migration from hand-coded software on general-purpose systems to machine learning software operating on specialized accelerators and Graphics Processing Units (GPUs).
This pivotal shift marks a turning point in the growth of data center infrastructure. We are witnessing an inflection point whereby the existing data center paradigms are becoming increasingly obsolete. The emergence of optimized hardware for specific tasks, particularly in AI and machine learning, embodies this new era of computation.