Matrix multiplication provides a series of fast multiply and add operations in parallel, and it is built into the hardware of GPUs and AI processing cores (see Tensor core). See compute-in-memory.

Google DeepMind's AlphaEvolve AI system breaks a 56-year-old mathematical record by discovering a more efficient matrix ...

This carbon nanotube-based tensor processing chip ... which can perform two-bit integer convolution and matrix multiplication operations in parallel." The tightly coupled architecture introduced ...

Tensor Core is NVIDIA's product, but other companies make math acceleration hardware. Google's TPU Matrix Units (MXUs), Apple's Matrix Coprocessor (AMX) and AMD's Matrix Cores are examples.