ixhetero
CommunitySeamless heterogeneous training across diverse AI hardware.
Software Engineering#resource management#parallel computing#multi-vendor#distributed training#heterogeneous#ai accelerators#megaton-lm
Authordongg622
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables efficient and flexible large-model training across multi-vendor hardware setups by managing heterogeneous compute resources seamlessly.
Core Features & Use Cases
- Heterogeneous Deployment: Facilitates the coordinated training of models across different types of GPUs and AI accelerators such as 天数智芯 and NVIDIA.
- Resource Optimization: Supports resource pooling and smart scheduling for mixed hardware environments.
- Use Case: Simplify multi-vendor AI training clusters where different types of GPUs need to work together without manual configuration overhead.
Quick Start
Use the ixHetero API to initialize heterogeneous environment settings and launch distributed training with specified device configurations.
Dependency Matrix
Required Modules
torchixheteromegatron
Components
referencesscripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ixhetero Download link: https://github.com/dongg622/china-ai-chip-skill/archive/main.zip#ixhetero Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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