Frontier-lab training infrastructure, now as a service

What this post added

This post introduces the availability of Fireworks AI's internal frontier-lab training infrastructure as a managed service. It details the technical challenges and solutions for achieving batch invariance in Large MoEs and zero KLD across training and serving, specifically highlighting its application to GLM 5.2. The post emphasizes the importance of these features for successful reinforcement learning by demonstrating how numerical discrepancies can lead to reward collapse, contrasting it with the stable results achieved with the Fireworks stack.