# Infrasys-AI/AISystem

AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术

Repository: https://github.com/Infrasys-AI/AISystem
Canonical: https://ross.abutalabs.com/products/aisystem
Homepage: https://infrasys-ai.github.io/aisystem-docs/
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Topics: ai, mlsys, aiinfra, aisys, dlsys
Last push: 2025-09-03T02:25:37+00:00

## Health v2 (maintenance only)
Score: 50/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 40, release rhythm 35, longevity 100
- inputs: {"age_days": 1441, "days_push": 365, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 17667, forks 2468 (observed 2026-08-28T04:11:20.151636+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: active
- function: machine-learning, compiler, gpu-computing, llm-training, llm-inference, documentation
- domain: machine-learning, deep-learning, large-language-models, gpu-computing, compilers, tutorials, education
- platform: python, cross-platform
- tags: ai-systems, mlsys, ai-chips, ai-compiler, inference-engine, training-framework, open-course, jupyter-notebooks

## Member repositories
- Infrasys-AI/AISystem (main) score 50

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:20.151636+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:02:31.794450+00:00, confidence not recorded.
  - readme: https://github.com/Infrasys-AI/AISystem (fetched 2026-08-28T04:11:20.151636+00:00, sha 52ebd18e530a)
  - homepage: https://infrasys-ai.github.io/aisystem-docs/ (fetched 2026-08-29T08:00:44.975610+00:00, sha ed35e330a277)
- Data as of 2026-08-30T08:39:29.467469+00:00.
