News2026April 2026

FP4 training shown stable at scale

Research2026-04-30 Source: arxiv.org

Researchers demonstrate stable four-bit training on Blackwell, cutting memory and energy for large runs without hurting quality.

Lower precision means more model per GPU. This work shows four-bit floating point can train large models to the same quality as higher precision, given the right scaling and loss handling.

On Blackwell hardware that translates directly into cheaper training; the parts are on the prices page and rentable via hosting.

Read the original at arxiv.org ↗ More from April 2026