Accelerator Chip
Accelerator Chip
An accelerator chip is a specialized hardware designed to speed up computations, especially for machine learning and AI tasks. These chips, such as GPUs and TPUs, are optimized for handling large-scale parallel processing, reducing the training time for deep learning models and improving efficiency.
For example, consider matrix multiplication in deep learning:
$$ C = A \times B $$
Accelerator chips optimize this by parallelizing the matrix operations, significantly reducing the time required for large datasets and high-dimensional models.
AI Terminology