AI Engineer · August 10, 2026

Taking Reinforcement Learning Cross Datacenter — Nan Jiang, Modal

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Taking Reinforcement Learning Cross Datacenter — Nan Jiang, Modal video thumbnail

Why it matters

A frontier scale checkpoint is around 500 GB, so shipping one to a rollout fleet in another region takes minutes to hours and kills any hope of weight updates landing in seconds. Nan Jiang's claim is that you can send roughly 500 MB instead and have the rollout engine reconstruct a bitwise identical weights version.

My takeaway: Taking Reinforcement Learning Cross Datacenter — Nan Jiang, Modal is a model-evaluation signal. The practical read is to tie capability claims to evidence, launch criteria, and regression tests rather than relying on demos or benchmark headlines.

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