moe-long-context

Official

Guidance for scaling MoE long-context training.

AuthorNVIDIA
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Long-context MoE training presents memory and throughput challenges as sequence lengths grow; this guide helps engineers optimize CP sizing, dispatcher layouts, and recompute strategies to sustain performance.

Core Features & Use Cases

  • Provides CP scaling rules for MoE training on DSV3, Qwen3, and Qwen3-Next on NV hardware.
  • Recommends selective recompute, CUDA graphs advice, and offload strategies to manage memory and compute.
  • Includes representative config patterns and practical tips for success in long-context MoE workloads.

Quick Start

Configure your Megatron Bridge MoE training with the recommended CP, dispatcher, and selective recompute settings to evaluate throughput.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Name: moe-long-context
Download link: https://github.com/NVIDIA/skills/archive/main.zip#moe-long-context

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