ZeRO: Removing Memory Redundancy from Data Parallel Training

from Mastering Language Models: From Architecture to Optimization

A deep dive into ZeRO’s memory model: optimizer states, gradients, and parameters are not sacred copies; they can be partitioned across workers.

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How long is this episode of Mastering Language Models: From Architecture to Optimization?

This episode is 11 minutes long.

When was this Mastering Language Models: From Architecture to Optimization episode published?

This episode was published on April 26, 2026.

What is this episode about?

A deep dive into ZeRO’s memory model: optimizer states, gradients, and parameters are not sacred copies; they can be partitioned across workers.

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