caomaolufei/AIInfraGuide resource

Health v2 · maintenance only

Flags: no_releases young no_license

Adoption not part of the score

1806 stars · 140 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An open-source Chinese-language knowledge base and learning guide covering the full AI infrastructure stack, from GPU hardware and CUDA programming to distributed training and LLM inference optimization. It is published as an Astro-based documentation site and includes an interview question bank with 180+ real interview questions from 60+ companies.

Use cases

• learn AI infrastructure from scratch
• learn CUDA programming and kernel optimization
• understand distributed training like DDP, FSDP, and 3D parallelism
• study LLM inference optimization techniques like quantization and speculative decoding
• prepare for AI infra engineer interviews
• find a structured learning roadmap for GPU and training systems
• learn performance profiling with Nsight tools

When to choose

• you want a systematic, Chinese-language curriculum for AI infrastructure engineering
• you are preparing for AI infra or GPU kernel engineering interviews
• you need a guided path from prerequisites through CUDA, distributed training, and inference optimization

When to avoid

• you need official API documentation for a specific framework like vLLM or PyTorch
• you prefer English-language or video-based learning materials
• you need a hands-on tool or library rather than a study guide

Facets

learning-resource · maturity active

documentation developer-tools gpu-computing llm-training llm-inference tutorials gpu-computing large-language-models deep-learning developer-tools cross-platform ai-infrastructure cuda-programming distributed-training inference-optimization interview-preparation chinese-language astro-site web-server

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markdown · JSON · MCP: product_card(name="caomaolufei/AIInfraGuide")