How do AI supercomputers train large Gen AI models? Simply Explained

Author(s): Mélony Qin (aka cloudmelon)

Originally published on Towards AI.

Since the emergence of ChatGPT in 2022, AI has dominated discussions. However, behind the scenes, it’s the AI infrastructure that serves as the engine driving the market’s large GenAI models. These AI supercomputers process information millions of times faster than standard desktop or server computers. So, in this blog post, let’s take a look at what exactly an AI supercomputer is and how it trains large AI models such as GPT3, GPT4, and even the latest GPT-4o, that power ChatGPT and BingChat.

HPC is something incredible that empowers AI supercomputer

How does AI supercomputer relate to HPC? AI supercomputers and High-Performance Computing (HPC) are closely related, they are often overlapping in capabilities and applications.

AI supercomputers, specialized for AI workloads, share parallels with HPC in processing vast data and performing complex computations at high speeds. Both rely on parallel processing for tasks like training large-scale AI models, benefiting from HPC technologies such as powerful processors, GPUs, and high-speed interconnects. This synergy enables AI supercomputers to leverage HPC capabilities, optimizing performance for demanding AI tasks like training deep learning models or image recognition algorithms.

When it comes to large AI model training, supercomputers sound like an even bigger deal. Supercomputers are the most powerful and… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI