Periodic Labs' Neon, trained on 1,300 H200s, beats GPT-6 Astra on materials analysis
LiamFedus · x · 2026-09-16
Liam Fedus unveiled Periodic Labs' Neon: the company built high-throughput materials labs in Menlo Park to close the loop between experiments and models, with labs generating fresh data that models learn from to pick the next experiments. Using only 1,300 H200s plus months of proprietary experimental data, they mid-trained and RL'd an open-source model to surpass GPT-6 Astra on their analysis benchmark. Initial focus: hard materials science problems including superconductors, magnets, and semiconductors.
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