--- title: "AI-Infra-from-Zero-to-Hero vs gateway" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/huaizhengzhang-ai-infra-from-zero-to-hero-vs-missingstudio-gateway" tools: ["huaizhengzhang-ai-infra-from-zero-to-hero", "missingstudio-gateway"] --- # AI-Infra-from-Zero-to-Hero vs gateway *GraphCanon updated Aug 17, 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 gateway if aI Gateway offers a comprehensive infrastructure for deploying and managing production-grade AI apps with GRPC, protobuf, and support for large language models. [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. [gateway](https://www.missing.studio) has 160 stars, 17 forks, and 10 open issues, last pushed Apr 8, 2024. 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 [gateway's repository](https://github.com/missingstudio/gateway). | | [AI-Infra-from-Zero-to-Hero](/tools/huaizhengzhang-ai-infra-from-zero-to-hero.md) | [gateway](/tools/missingstudio-gateway.md) | | --- | --- | --- | | Tagline | Awesome System for Machine Learning and LLM Infra | Core infrastructure stack for building production-ready AI Applications | | Stars | 4,285 | 160 | | Forks | 409 | 17 | | Open issues | 14 | 10 | | Language | - | Go | | Adopt for | A curated resource list for AI system design focusing on large language models and various system aspects. | AI Gateway offers a comprehensive infrastructure for deploying and managing production-grade AI apps with GRPC, protobuf, and support for large language models. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Developer Tools, Inference & Serving, LLM Frameworks, Model Training | Inference & Serving, Model Training | ## 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) | [gateway](/tools/missingstudio-gateway.md) | | --- | --- | --- | | Days since push | 388d | 846d | | Open issues (now) | 14 | 10 | | Stars delta | +87 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/huaizhengzhang-ai-infra-from-zero-to-hero/trust.md) | [trust report](/tools/missingstudio-gateway/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: gateway - **Adopt for:** AI Gateway offers a comprehensive infrastructure for deploying and managing production-grade AI apps with GRPC, protobuf, and support for large language models. ## Choose when ### Choose AI-Infra-from-Zero-to-Hero if… - License: AI-Infra-from-Zero-to-Hero is MIT, gateway is Apache-2.0. - Tags unique to AI-Infra-from-Zero-to-Hero: ai-infra, genai, large language models, llmsys. - Also covers Developer Tools, LLM Frameworks. - 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 gateway if… - License: gateway is Apache-2.0, AI-Infra-from-Zero-to-Hero is MIT. - Tags unique to gateway: ai-gateway, grpc, inference, llmops. - gateway ships Docker support for self-hosted deployment. - Use when you need to deploy applications that require low-latency communication like gRPC services. ## 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 gateway - Avoid if the project does not involve production-grade AI application deployment or specific needs of grpc and protobuf technologies. - Not suitable for teams preferring other programming languages over Go, as this tool is written entirely in Go. ## Common questions ### What is the difference between AI-Infra-from-Zero-to-Hero and gateway? AI-Infra-from-Zero-to-Hero: Awesome System for Machine Learning and LLM Infra. gateway: Core infrastructure stack for building production-ready AI Applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose AI-Infra-from-Zero-to-Hero over gateway? Choose AI-Infra-from-Zero-to-Hero over gateway when License: AI-Infra-from-Zero-to-Hero is MIT, gateway is Apache-2.0; Tags unique to AI-Infra-from-Zero-to-Hero: ai-infra, genai, large language models, llmsys; Also covers Developer Tools, LLM Frameworks; 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 gateway over AI-Infra-from-Zero-to-Hero? Choose gateway over AI-Infra-from-Zero-to-Hero when License: gateway is Apache-2.0, AI-Infra-from-Zero-to-Hero is MIT; Tags unique to gateway: ai-gateway, grpc, inference, llmops; gateway ships Docker support for self-hosted deployment; Use when you need to deploy applications that require low-latency communication like gRPC services. ### 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 gateway? Avoid if the project does not involve production-grade AI application deployment or specific needs of grpc and protobuf technologies. Not suitable for teams preferring other programming languages over Go, as this tool is written entirely in Go. ### Is AI-Infra-from-Zero-to-Hero or gateway more popular on GitHub? AI-Infra-from-Zero-to-Hero has more GitHub stars (4,285 vs 160). Stars measure visibility, not whether either tool fits your constraints. ### Are AI-Infra-from-Zero-to-Hero and gateway open source? Yes - both are open-source projects on GitHub (AI-Infra-from-Zero-to-Hero: MIT, gateway: Apache-2.0). ### Where can I find alternatives to AI-Infra-from-Zero-to-Hero or gateway? GraphCanon lists graph-backed alternatives at [AI-Infra-from-Zero-to-Hero alternatives](/tools/huaizhengzhang-ai-infra-from-zero-to-hero/alternatives) and [gateway alternatives](/tools/missingstudio-gateway/alternatives) ([AI-Infra-from-Zero-to-Hero markdown twin](/tools/huaizhengzhang-ai-infra-from-zero-to-hero/alternatives.md), [gateway markdown twin](/tools/missingstudio-gateway/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-missingstudio-gateway.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 gateway? AI-Infra-from-Zero-to-Hero: Dormant. gateway: Dormant. 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 gateway? 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); [gateway trust report](/tools/missingstudio-gateway/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/_