Infrasys-AI/AISystem resource

Health v2 · maintenance only

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Adoption not part of the score

17667 stars · 2468 forks observed · 2026-08-28

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

An open-source Chinese-language course (with Jupyter notebooks, slides, and videos) covering the full AI systems stack: AI chips and architecture, AI compilers, inference systems and engines, and AI framework core technologies including automatic differentiation and distributed training. It targets senior undergraduates, graduate students, and AI systems practitioners.

Use cases

• learn how AI chips and GPU architectures work
• understand AI compiler design, IR, and backend optimization
• study inference system optimization and model compression
• learn automatic differentiation and distributed training in AI frameworks
• get an end-to-end overview of the AI system software and hardware stack

When to choose

• you want a structured, free curriculum on MLSys fundamentals
• you are preparing for AI infrastructure or compiler engineering roles
• you prefer courses with slides, videos, and notebooks combined

When to avoid

• you need production-ready AI framework or inference code
• you want hands-on model training tutorials rather than systems theory
• you need English-only materials

Facets

learning-resource · maturity active

machine-learning compiler gpu-computing llm-training llm-inference documentation machine-learning deep-learning large-language-models gpu-computing compilers tutorials education python cross-platform ai-systems mlsys ai-chips ai-compiler inference-engine training-framework open-course jupyter-notebooks

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Infrasys-AI/AISystem")