Scalability
The explosion of data and the increasing complexity of modern systems demand algorithms that can operate effectively at an unprecedented scale. Whether it’s handling massive datasets, managing large-scale distributed systems, or optimizing processes for millions of users, scalability has become a central concern. Algorithms must not only be efficient but also adaptable to growing demands and diverse application contexts.
The current AI revolution, more than being driven by purely algorithmic advancements, has been fueled by three major developments:
- An exponential increase in processing power: The continuous rise in processing capabilities, to the point where even Moore’s law (the prediction that the number of transistors on a microchip doubles every two years) might no longer hold, has allowed for much more complex and resource-intensive algorithms to be executed (see Figure 14.1). The emergence of specialized hardware, such as graphical processing...
