Nearly all big science, machine learning, neural network, and machine vision applications employ algorithms that involve large matrix-matrix multiplication. But multiplying large matrices pushes the ...
CN101 accelerates AI inference, linear algebra, and sampling workloads for diffusion models, a foundational milestone toward dramatically more energy-efficient AI. Normal chips are Physics-Based ASICs ...