Comparison
AI-Infra-from-Zero-to-Hero vs open-r1
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 open-r1 if open-R1 is an open-source effort to replicate DeepSeek-R1's models and training pipelines involving model distillation, RL pipeline replication, and multi-stage training.
Markdown twin · AI-Infra-from-Zero-to-Hero alternatives · open-r1 alternatives
GraphCanon updated Oct 10, 2026
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Trust & integrity
| Signal | AI-Infra-from-Zero-to-Hero | open-r1 |
|---|---|---|
| Maintenance | Dormant (388d since push) As of Aug 17, 2026 · github_public_v1 | Active (8d since push) As of Oct 10, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Aug 17, 2026 · github_public_v1 | Not a fork · Organization account As of Oct 10, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- AI-Infra-from-Zero-to-Hero
- Awesome System for Machine Learning and LLM Infra
- open-r1
- Fully open reproduction of DeepSeek-R1
Stars
- AI-Infra-from-Zero-to-Hero
- 4.3k
- open-r1
- 26k
Forks
- AI-Infra-from-Zero-to-Hero
- 409
- open-r1
- 2.5k
Open issues
- AI-Infra-from-Zero-to-Hero
- 14
- open-r1
- 0
Language
- AI-Infra-from-Zero-to-Hero
- -
- open-r1
- Python
Adopt for
- AI-Infra-from-Zero-to-Hero
- A curated resource list for AI system design focusing on large language models and various system aspects.
- open-r1
- Open-R1 is an open-source effort to replicate DeepSeek-R1's models and training pipelines involving model distillation, RL pipeline replication, and multi-stage training.
Persona
- AI-Infra-from-Zero-to-Hero
- -
- open-r1
- -
Runtime
- AI-Infra-from-Zero-to-Hero
- -
- open-r1
- -
License
- AI-Infra-from-Zero-to-Hero
- MIT
- open-r1
- The project is licensed under Apache-2.0, providing a permissive license that allows for free use, modification, and distribution.
Last pushed
- AI-Infra-from-Zero-to-Hero
- Jul 25, 2025
- open-r1
- Oct 2, 2026
Categories
- AI-Infra-from-Zero-to-Hero
- Developer Tools, Inference & Serving, LLM Frameworks, Model Training
- open-r1
- Inference & Serving, Model Training
Trust and health
Maintenance
- AI-Infra-from-Zero-to-Hero
- Dormant (18%)
- open-r1
- Active (82%)
Days since push
- AI-Infra-from-Zero-to-Hero
- 388d
- open-r1
- 8d
Open issues (now)
- AI-Infra-from-Zero-to-Hero
- 14
- open-r1
- 0
Stars delta
- AI-Infra-from-Zero-to-Hero
- +87 (30d)
- open-r1
- +28 (30d)
Open issues delta
- AI-Infra-from-Zero-to-Hero
- 0 (30d)
- open-r1
- -340 (30d)
Owner type
- AI-Infra-from-Zero-to-Hero
- User
- open-r1
- Organization
Full report
- AI-Infra-from-Zero-to-Hero
- Trust report
- open-r1
- Trust report
Choose AI-Infra-from-Zero-to-Hero if…
- License: AI-Infra-from-Zero-to-Hero is MIT, open-r1 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 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.
Choose open-r1 if…
- License: open-r1 is Apache-2.0, AI-Infra-from-Zero-to-Hero is MIT.
- Requirements: Min 8 GB RAM; Installation requires CUDA version 12.4 and PyTorch v2.6.0, with specific dependencies like vLLM and FlashAttention that are critical..
- Tags unique to open-r1: cuda, deepseek-r1, flashattention, model distillation.
- Use Open-R1 when you need a detailed understanding of how DeepSeek-R1 operates, considering the project closely mirrors its architecture and processes.
When NOT to use open-r1
- Avoid Open-R1 if your hardware does not support CUDA 12.4 or cannot run PyTorch `v2.6.0`, as this may lead to errors.
- Do not use it if the need for rapid experimentation outweighs the value of detailed replication, since the multi-stage training and datasets curation process can be time-consuming.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (HuaizhengZhang/AI-Infra-from-Zero-to-Hero) · observed Sep 20, 2026
- GitHub forks (HuaizhengZhang/AI-Infra-from-Zero-to-Hero) · observed Sep 20, 2026
- Last push (HuaizhengZhang/AI-Infra-from-Zero-to-Hero) · observed Jul 25, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (huggingface/open-r1) · observed Oct 10, 2026
- GitHub forks (huggingface/open-r1) · observed Oct 10, 2026
- Last push (huggingface/open-r1) · observed Oct 2, 2026
- License file (Apache-2.0) · observed Oct 10, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: AI-Infra-from-Zero-to-Hero 4.3k · open-r1 26k (synced Sep 20, 2026).
Common questions
- What is the difference between AI-Infra-from-Zero-to-Hero and open-r1?
- AI-Infra-from-Zero-to-Hero: Awesome System for Machine Learning and LLM Infra. open-r1: Fully open reproduction of DeepSeek-R1. See the comparison table for live GitHub stats and shared categories.
- When should I choose AI-Infra-from-Zero-to-Hero over open-r1?
- Choose AI-Infra-from-Zero-to-Hero over open-r1 when License: AI-Infra-from-Zero-to-Hero is MIT, open-r1 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 open-r1 over AI-Infra-from-Zero-to-Hero?
- Choose open-r1 over AI-Infra-from-Zero-to-Hero when License: open-r1 is Apache-2.0, AI-Infra-from-Zero-to-Hero is MIT; Requirements: Min 8 GB RAM; Installation requires CUDA version 12.4 and PyTorch v2.6.0, with specific dependencies like vLLM and FlashAttention that are critical.; Tags unique to open-r1: cuda, deepseek-r1, flashattention, model distillation; Use Open-R1 when you need a detailed understanding of how DeepSeek-R1 operates, considering the project closely mirrors its architecture and processes.
- 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 open-r1?
- Avoid Open-R1 if your hardware does not support CUDA 12.4 or cannot run PyTorch
v2.6.0, as this may lead to errors. Do not use it if the need for rapid experimentation outweighs the value of detailed replication, since the multi-stage training and datasets curation process can be time-consuming. - Is AI-Infra-from-Zero-to-Hero or open-r1 more popular on GitHub?
- open-r1 has more GitHub stars (26,477 vs 4,285). Stars measure visibility, not whether either tool fits your constraints.
- Are AI-Infra-from-Zero-to-Hero and open-r1 open source?
- Yes - both are open-source projects on GitHub (AI-Infra-from-Zero-to-Hero: MIT, open-r1: Apache-2.0).
- Where can I find alternatives to AI-Infra-from-Zero-to-Hero or open-r1?
- GraphCanon lists graph-backed alternatives at AI-Infra-from-Zero-to-Hero alternatives and open-r1 alternatives (AI-Infra-from-Zero-to-Hero markdown twin, open-r1 markdown twin), 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 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 open-r1?
- AI-Infra-from-Zero-to-Hero: Dormant. open-r1: 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 open-r1?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AI-Infra-from-Zero-to-Hero trust report; open-r1 trust report.