India, Nov. 11 -- Nations worldwide have spent the last few years obsessing over bigger models and the compute power needed to train them. However, as models move into everyday products, it is becoming difficult to run AI models faster, cheaper and reliably at scale.

This is where inference platforms are emerging as saviours. Now, before we dive into the topic, let's first understand what inference actually means.

Simply put, inference is the process through which a trained AI model uses what it has learned to respond to new inputs, such as questions, images or instructions.

For context, when you ask an AI model to summarise a health report or a business document, it uses its existing capabilities to process your request and generate a...