Ryan Knudson

They only met as adults.

Fast forward, you know, two to three years.

How does that pivot go?

Like, what does she actually do?

To take on NVIDIA, Su decided to focus on chips that were one step ahead.

Rather than making chips that are good at training AI models, which has dominated the AI market so far, Su wanted to make chips that were good at inferencing.

What does that mean?

What is inference computing?

At its most basic, the training is the learning part, or when an AI model is devouring everything it can.

And the inferencing is the doing, the actual responding to prompts.

This decision is starting to pay off.

In October, AMD announced that massive deal with OpenAI to help it run inference functions for ChatGPT.

Under the deal, OpenAI agreed to buy a ton of AMD chips starting next year.

And in return, OpenAI could get as much as a 10% ownership stake in AMD.

Yet amid all the excitement and money, there's also concern about an AI bubble.

And the AMD deal with OpenAI raised questions among some investors.

After the break, Robbie sits down with Lisa Su to talk about the concerns about an AI bubble.

Recently, Robbie flew to a big AMD office in Austin to meet with Lisa Su.

One of the main things Robby wanted to talk with Sue about is the AI bubble, and specifically whether AMD's deal with OpenAI might contribute to that bubble.

Under the terms of the deal, AMD gave OpenAI a big financial incentive to use its chips.