TPU
Google's purpose-built accelerator for tensor arithmetic.
Обзор
A TPU is an application-specific chip designed for the matrix operations neural networks are made of, rather than a general-purpose processor adapted to them. It solves the same cost problem as a GPU but by removing the generality, which makes it more efficient per operation and less flexible. It exists because a workload this narrow can be served better by dedicated silicon, and it is reachable mainly through Google's cloud rather than as hardware you buy.
Граф технологий
Как TPU связана с остальным стеком.
Применяется к
- Deep Learning concept Algorithms TPU used for Deep Learning High ✓ source
- LLM concept Models TPU used for LLM High ✓ source
Альтернативы
Сравнения
Подробные сопоставления с альтернативами выше.