Tensordyne puts log math at the center of its Nvidia challenge

Tensordyne, the AI chip startup formerly known as Recogni, previewed Napier, an AI inference system that uses logarithmic math to replace multiplication with addition for transformer workloads. The company positions Napier as a rack-scale inference accelerator for large language models, aiming to challenge Nvidia in the inference market rather than training.

Tensordyne, the AI chip startup formerly known as Recogni, is previewing Napier: an AI inference system that uses logarithmic math to replace much of the multiplication at the heart of transformer workloads with addition. Tensordyne unveiled the system in Forbes, positioning Napier as a rack scale inference accelerator for large language models rather than another general purpose GPU alternative. That distinction matters. Tensordyne is not trying to win training first. It is aiming at the cos...