Not long ago, running powerful artificial intelligence applications required access to a supercomputer or a massive corporate data center with millions of dollars worth of hardware. Only the biggest technology companies and the most well-funded research institutions could afford the kind of computing power that serious AI work demands. Everyone else was left on the sidelines, watching from a distance.

That reality has changed dramatically. Today, thanks to the rise of GPU dedicated servers, businesses of all sizes, independent researchers, startups, and developers around the world can access the raw computing power needed to train machine learning models, run deep learning algorithms, process massive datasets, and deploy AI-powered applications at scale. The playing field has leveled in a way that would have seemed impossible just a decade ago.