--- title: "AI-Infra-from-Zero-to-Hero vs scaling-book" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/huaizhengzhang-ai-infra-from-zero-to-hero-vs-jax-ml-scaling-book" tools: ["huaizhengzhang-ai-infra-from-zero-to-hero", "jax-ml-scaling-book"] --- # AI-Infra-from-Zero-to-Hero vs scaling-book *GraphCanon updated Aug 25, 2026* ## Verdict Pick AI-Infra-from-Zero-to-Hero if a curated resource list for AI system design focusing on large language models and various system aspects; pick scaling-book if scaling-book. [AI-Infra-from-Zero-to-Hero](https://huaizheng.xyz/) reports 4.3k GitHub stars, 409 forks, and 14 open issues, last pushed Jul 25, 2025. [scaling-book](https://jax-ml.github.io/scaling-book/) has 1.4k stars, 191 forks, and 8 open issues, last pushed Aug 20, 2026. Figures are from public GitHub metadata via [AI-Infra-from-Zero-to-Hero's repository](https://github.com/HuaizhengZhang/AI-Infra-from-Zero-to-Hero) and [scaling-book's repository](https://github.com/jax-ml/scaling-book). | | [AI-Infra-from-Zero-to-Hero](/tools/huaizhengzhang-ai-infra-from-zero-to-hero.md) | [scaling-book](/tools/jax-ml-scaling-book.md) | | --- | --- | --- | | Tagline | Awesome System for Machine Learning and LLM Infra | Guide on scaling LLMs on TPUs | | Stars | 4,285 | 1,368 | | Forks | 409 | 191 | | Open issues | 14 | 8 | | Language | - | HTML | | Adopt for | A curated resource list for AI system design focusing on large language models and various system aspects. | scaling-book | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Developer Tools, Inference & Serving, LLM Frameworks, Model Training | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AI-Infra-from-Zero-to-Hero](/tools/huaizhengzhang-ai-infra-from-zero-to-hero.md) | [scaling-book](/tools/jax-ml-scaling-book.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 388d | 4d | | Open issues (now) | 14 | 8 | | Stars delta | +87 (30d) | +77 (30d) | | Open issues delta | 0 (30d) | +1 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/huaizhengzhang-ai-infra-from-zero-to-hero/trust.md) | [trust report](/tools/jax-ml-scaling-book/trust.md) | ## Decision facts: AI-Infra-from-Zero-to-Hero - **Adopt for:** A curated resource list for AI system design focusing on large language models and various system aspects. ## Decision facts: scaling-book - **Adopt for:** scaling-book ## Choose when ### Choose AI-Infra-from-Zero-to-Hero if… - Tags unique to AI-Infra-from-Zero-to-Hero: ai-infra, genai, large language models, llmsys. - Also covers Developer Tools, Model Training. - When you are aiming to understand the foundational research papers, industry practices, video tutorials specific to ML systems and LLM infrastructures without requiring implementation details. ### Choose scaling-book if… - Tags unique to scaling-book: jax, llm-inference, llms, roofline. - You are working specifically with machine learning models that leverage Tensor Processing Units (TPUs) for performance and are looking to understand optimization techniques. - More recently updated (last pushed Aug 20, 2026). ## When NOT to use AI-Infra-from-Zero-to-Hero - If you need step-by-step implementations for AI infrastructure setup as the repository focuses on resources rather than detailed technical instructions. - Avoid if seeking guidance specifically for real-time system deployment and tuning, since it does not cover operational tactics in depth. ## When NOT to use scaling-book - Do not use if your project focuses exclusively on GPU scaling or other hardware not aligned with Tensor Processing Units (TPUs). - If you are looking for a general approach to any framework's scalability without emphasis on TPUs. - This resource is unsuitable if you need information about model training phases, as it emphasizes inference and serving phases. ## Common questions ### What is the difference between AI-Infra-from-Zero-to-Hero and scaling-book? AI-Infra-from-Zero-to-Hero: Awesome System for Machine Learning and LLM Infra. scaling-book: Guide on scaling LLMs on TPUs. See the comparison table for live GitHub stats and shared categories. ### When should I choose AI-Infra-from-Zero-to-Hero over scaling-book? Choose AI-Infra-from-Zero-to-Hero over scaling-book when Tags unique to AI-Infra-from-Zero-to-Hero: ai-infra, genai, large language models, llmsys; Also covers Developer Tools, Model Training; When you are aiming to understand the foundational research papers, industry practices, video tutorials specific to ML systems and LLM infrastructures without requiring implementation details. ### When should I choose scaling-book over AI-Infra-from-Zero-to-Hero? Choose scaling-book over AI-Infra-from-Zero-to-Hero when Tags unique to scaling-book: jax, llm-inference, llms, roofline; You are working specifically with machine learning models that leverage Tensor Processing Units (TPUs) for performance and are looking to understand optimization techniques; More recently updated (last pushed Aug 20, 2026). ### When should I avoid AI-Infra-from-Zero-to-Hero? If you need step-by-step implementations for AI infrastructure setup as the repository focuses on resources rather than detailed technical instructions. Avoid if seeking guidance specifically for real-time system deployment and tuning, since it does not cover operational tactics in depth. ### When should I avoid scaling-book? Do not use if your project focuses exclusively on GPU scaling or other hardware not aligned with Tensor Processing Units (TPUs). If you are looking for a general approach to any framework's scalability without emphasis on TPUs. This resource is unsuitable if you need information about model training phases, as it emphasizes inference and serving phases. ### Is AI-Infra-from-Zero-to-Hero or scaling-book more popular on GitHub? AI-Infra-from-Zero-to-Hero has more GitHub stars (4,285 vs 1,368). Stars measure visibility, not whether either tool fits your constraints. ### Are AI-Infra-from-Zero-to-Hero and scaling-book open source? Yes - both are open-source projects on GitHub (AI-Infra-from-Zero-to-Hero: MIT, scaling-book: MIT). ### Where can I find alternatives to AI-Infra-from-Zero-to-Hero or scaling-book? GraphCanon lists graph-backed alternatives at [AI-Infra-from-Zero-to-Hero alternatives](/tools/huaizhengzhang-ai-infra-from-zero-to-hero/alternatives) and [scaling-book alternatives](/tools/jax-ml-scaling-book/alternatives) ([AI-Infra-from-Zero-to-Hero markdown twin](/tools/huaizhengzhang-ai-infra-from-zero-to-hero/alternatives.md), [scaling-book markdown twin](/tools/jax-ml-scaling-book/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/huaizhengzhang-ai-infra-from-zero-to-hero-vs-jax-ml-scaling-book.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AI-Infra-from-Zero-to-Hero or scaling-book? AI-Infra-from-Zero-to-Hero: Dormant. scaling-book: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for AI-Infra-from-Zero-to-Hero and scaling-book? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AI-Infra-from-Zero-to-Hero trust report](/tools/huaizhengzhang-ai-infra-from-zero-to-hero/trust); [scaling-book trust report](/tools/jax-ml-scaling-book/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=huaizhengzhang-ai-infra-from-zero-to-hero`](/api/graphcanon/graph?tool=huaizhengzhang-ai-infra-from-zero-to-hero) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_