Infrasys-AI/AIInfra resource

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8029 stars · 1037 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

AIInfra is an open-source Chinese-language course (text, slides, and videos) on AI infrastructure for large models, covering AI clusters, networking and storage, cloud-native tooling, distributed training and inference, and LLM algorithms and applications. It is the successor to the AISystem project, focused specifically on large-model systems.

Use cases

• learn how large language model training and inference systems work
• understand AI cluster architecture and networking for LLM training
• study distributed training parallelism strategies for large models
• learn LLM inference optimization and model compression techniques
• understand Kubernetes and cloud-native deployment of AI workloads
• study Scaling Law and Transformer/MoE architecture fundamentals
• learn about AI agents and RAG system design

When to choose

• you want a structured, in-depth curriculum on LLM system design from hardware to software
• you are a graduate student or engineer building or operating AI training/inference clusters
• you prefer Chinese-language materials with accompanying videos and slides
• you want free, regularly updated content with hands-on K8S and inference labs

When to avoid

• you need production software or tooling rather than educational material
• you need beginner-level AI/ML tutorials without systems prerequisites
• you require English-only course materials
• you need a formal certification or accredited course

Facets

learning-resource · maturity active

machine-learning llm-training llm-inference gpu-computing container-orchestration developer-tools large-language-models deep-learning gpu-computing microservices tutorials cloud-computing cloud python ai-infrastructure open-course distributed-training llm-systems chinese-language slides video-course gpu docker kubernetes

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