Q&A: Choosing the right compute infrastructure for machine learning
Seemingly overnight, machine learning (ML) exited the world of aspirational technology and entered the mainstream. Organizations of every size and across nearly every industry want in on the action—and ML is realistically within reach for all because of the cloud.
The cloud brings together data, low-cost storage, security, and ML services, along with high-performance CPU (central processing unit) and GPU (graphics processing unit) based instances for model training and deployment.