TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Mathematicians love a good puzzle. Even something as abstract as multiplying matrices (two-dimensional tables of numbers) can feel like a game when you try to find the most efficient way to do it.

Google announced the sixth generation of its Tensor Processing Unit (TPU) for data centers, codenamed Trillium, at its I/O 2024 Developer Conference today. While a specific launch date wasn’t revealed ...