Ross ROSS = Recommend OSS · open-source software intelligence for agents

HuaizhengZhang/AI-Infra-from-Zero-to-Hero resource

🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSys, etc. 🗃️ Llama3, Mistral, etc. 🧑‍💻 Video Tutorials. observed · 2026-08-28

github.com/HuaizhengZhang/AI-Infra-from-Zero-to-Hero · homepage · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

47/100

  • Activity 33
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2795
  • days_rel: n/a
  • days_push: 405
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

4309 stars · 410 forks observed · 2026-08-28

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

A curated awesome-list of research papers, industry practices, and video tutorials on systems for machine learning, LLMs, and generative AI. It organizes resources by ML/DL infrastructure, LLM training and serving, and domain-specific systems, tied to top systems conferences like OSDI, NSDI, and MLSys.

Use cases

  • learn AI infrastructure from research papers
  • find papers on LLM training and serving systems
  • study MLSys and OSDI conference papers on ML systems
  • get video tutorials explaining vLLM and LLM serving internals
  • find resources on machine learning systems engineering
  • prepare for research in AI systems and infrastructure

When to choose

  • you want a curated, categorized reading list of ML/LLM systems research
  • you prefer learning via video walkthroughs of real systems like vLLM
  • you need pointers to code implementations alongside papers
  • you are a student or researcher entering the MLSys field

When to avoid

  • you need runnable software or a production tool rather than a reading list
  • you want beginner tutorials on using ML frameworks rather than systems research
  • you need up-to-date product documentation for a specific serving framework

Facets

learning-resource · maturity active

llm-inference llm-training machine-learning deep-learning gpu-computing machine-learning deep-learning large-language-models gpu-computing tutorials awesome-lists cross-platform awesome-list mlsys ai-infrastructure model-serving research-papers video-tutorials

2 sources

Member repositories

RepositoryRoleHealth v2
HuaizhengZhang/AI-Infra-from-Zero-to-Heromain47

For agents

markdown · JSON · MCP: product_card(name="HuaizhengZhang/AI-Infra-from-Zero-to-Hero")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem