GPU — Graphics Processing Unit
Definition: Massively parallel hardware originally built for graphics that became the default compute for AI training and inference. GPU availability is now a strategic asset, not a procurement detail.
Example
GPU lead times pushed our launch by a quarter — we now treat GPU capacity as a board-level capacity plan, not an IT line item.
When you'll hear it
GPU shows up most often in AI strategy reviews, model evaluation discussions, and product roadmap meetings. When someone uses it, they're usually referring to graphics processing unit — and they expect the room to already know what that means.
FAQs
What does GPU stand for?
GPU stands for Graphics Processing Unit.
What does GPU mean in AI and machine-learning?
Massively parallel hardware originally built for graphics that became the default compute for AI training and inference. GPU availability is now a strategic asset, not a procurement detail.
Where will I hear GPU used at work?
GPU comes up most often in AI strategy reviews, model evaluation discussions, and product roadmap meetings. It's used as shorthand for graphics processing unit, so people assume you already know the term.