ForceInjection/AI-fundermentals

AI 基础知识 - GPU 架构、CUDA 编程、大模型基础及AI Agent 相关知识

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This resource provides comprehensive guidance for designing, building, and optimizing advanced AI systems and infrastructure. It covers everything from fundamental GPU hardware to large language model deployment, helping users understand how to configure and manage high-performance AI computing environments. It's for AI engineers, system architects, and researchers responsible for developing or maintaining AI infrastructure.

914 stars. Actively maintained with 111 commits in the last 30 days.

Use this if you need to deep dive into the technical details of AI hardware, optimize GPU usage, manage AI clusters, or deploy large language models efficiently in cloud-native environments.

Not ideal if you are looking for introductory concepts on how to use existing AI models or high-level AI application development without needing to understand the underlying infrastructure.

AI-infrastructure GPU-architecture LLM-deployment Cloud-native-AI High-performance-computing
No Package No Dependents
Maintenance 22 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 23 / 25

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Stars

914

Forks

145

Language

HTML

License

Apache-2.0

Last pushed

Mar 13, 2026

Commits (30d)

111

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