GPU (Graphics Processing Unit)
A specialised processor that accelerates parallel computations for training and running AI models.
Definition
A specialised processor that accelerates parallel computations for training and running AI models.
How It Works
GPU (Graphics Processing Unit) helps teams build predictable AI and translation workflows by setting clear expectations for quality, consistency, and decision-making.
In production environments, this concept is applied with process controls such as human review, terminology alignment, and repeatable quality checks across multilingual content.
Key Concepts
- core principle of gpu (graphics processing unit)
- workflow-level implementation
- terminology and quality consistency
- human validation before publication
Where It Is Used
- localisation workflows
- AI translation pipelines
- multilingual content production
- cross-referencing related concepts such as GDPR (General Data Protection Regulation)