SKILL

distributed-training-deepspeed

使用 DeepSpeed 进行分布式训练的专业指导——ZeRO 优化阶段、流水线并行、FP16/BF16/FP8、1 位 Adam、稀疏注意力

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Expert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attention

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原文涵盖的主题

  • Deepspeed Skill
  • When to Use This Skill
  • Quick Reference
  • Common Patterns

Comprehensive assistance with deepspeed development, generated from official documentation. This skill should be triggered when: Working with deepspeed Asking about deepspeed features or APIs Implementing deepspeed solutions Debugging deepspeed code Learning deepspeed best practices Pattern 1: DeepNVMe Contents Requirements Creating DeepNVMe Handles Using DeepNVMe Handles Blocking File Write Non-Blocking File Write Parallel File Write Pinned Tensors Putting it together Acknowledgements Appendix Advanced Handle Creation Performance Tuning DeepNVMe APIs General I/O APIs GDS-specific APIs Handle Settings APIs This tutorial will show how to use DeepNVMe for data transfers between persistent storage and tensors residing in host or device memory. DeepNVMe improves the performance and efficiency of I/O operations in Deep Learning applications through powerful optimizations built on Non-Volatile Memory Express (NVMe) Solid State Drives (SSDs), Linux Asynchronous I/O (libaio), and NVIDIA Magnum IOTM GPUDirect® Storage (GDS). Requirements Ensure your environment is properly configured to use DeepNVMe. First, you need to install DeepSpeed version >= 0.15.0. Next, ensure that the DeepNVMe oper

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cli-tool/components/skills/ai-research/distributed-training-deepspeed/SKILL.md
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原作者:davila7/claude-code-templates · 原作者仓库元数据。文档核查:未核查。最近来源检查:2026-11-09T14:01:43.059Z。

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