Periodic Labs builds Neon on SGLang and Miles for 2.5x faster inference

Periodic Labs chose SGLang and Miles to build Neon, an open-source model it says surpasses GPT-6 Astra on its analysis benchmark after mid-training and RL on 1,300 H200s.

RadixArk says Periodic extended both frameworks for scientific RL at trillion-parameter scale, delivering more efficient training, lower memory use, and 2.5x faster inference. The work has been contributed back to both projects.