Comparison
dstack vs AI-Infra-from-Zero-to-Hero
Verdict
Pick dstack if dstack is a vendor-agnostic orchestration tool for AI workloads, including training, inference, and agentic tasks, across various hardware and environments; 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.
Markdown twin · dstack alternatives · AI-Infra-from-Zero-to-Hero alternatives
GraphCanon updated Sep 20, 2026
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Trust & integrity
| Signal | dstack | AI-Infra-from-Zero-to-Hero |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (388d since push) As of Aug 17, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Aug 17, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 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
- dstack
- Vendor-agnostic orchestration for training, inference and agentic workloads
- AI-Infra-from-Zero-to-Hero
- Awesome System for Machine Learning and LLM Infra
Stars
- dstack
- 2.3k
- AI-Infra-from-Zero-to-Hero
- 4.3k
Forks
- dstack
- 262
- AI-Infra-from-Zero-to-Hero
- 409
Open issues
- dstack
- 64
- AI-Infra-from-Zero-to-Hero
- 14
Language
- dstack
- Python
- AI-Infra-from-Zero-to-Hero
- -
Adopt for
- dstack
- dstack is a vendor-agnostic orchestration tool for AI workloads, including training, inference, and agentic tasks, across various hardware and environments.
- AI-Infra-from-Zero-to-Hero
- A curated resource list for AI system design focusing on large language models and various system aspects.
Persona
- dstack
- -
- AI-Infra-from-Zero-to-Hero
- -
Runtime
- dstack
- -
- AI-Infra-from-Zero-to-Hero
- -
License
- dstack
- dstack is licensed under the Mozilla Public License 2.0, which is an open-source license.
- AI-Infra-from-Zero-to-Hero
- MIT
Last pushed
- dstack
- Sep 17, 2026
- AI-Infra-from-Zero-to-Hero
- Jul 25, 2025
Categories
- dstack
- AI Agents, Inference & Serving, Model Training
- AI-Infra-from-Zero-to-Hero
- Developer Tools, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- dstack
- Very active (96%)
- AI-Infra-from-Zero-to-Hero
- Dormant (18%)
Days since push
- dstack
- 0d
- AI-Infra-from-Zero-to-Hero
- 388d
Open issues (now)
- dstack
- 64
- AI-Infra-from-Zero-to-Hero
- 14
Stars delta
- dstack
- +61 (30d)
- AI-Infra-from-Zero-to-Hero
- +87 (30d)
Open issues delta
- dstack
- +3 (30d)
- AI-Infra-from-Zero-to-Hero
- 0 (30d)
Owner type
- dstack
- Organization
- AI-Infra-from-Zero-to-Hero
- User
Full report
- dstack
- Trust report
- AI-Infra-from-Zero-to-Hero
- Trust report
Choose dstack if…
- License: dstack is MPL-2.0, AI-Infra-from-Zero-to-Hero is MIT.
- Pricing: The core functionality of dstack is free and open-source under the Mozilla Public License 2.0. Additional services or support may be available for a fee..
- Requirements: Requires Docker; Requires Git and OpenSSH for CLI installation and configuration..
- Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud.
- Also covers AI Agents.
- When you need orchestration for AI workloads that can run on a variety of hardware like NVIDIA, AMD, TPU, and Tenstorrent, and across different environments such as clouds, Kubernetes, and bare metal.
When NOT to use dstack
- If you are looking for a tool that is tightly integrated with a specific cloud provider or hardware vendor, as dstack is designed to be vendor-agnostic.
- When your project strictly requires proprietary licensing, as dstack is licensed under the Mozilla Public License 2.0, which is open source.
- If your team does not have the capability to install and configure the dstack CLI, which requires Git and OpenSSH, and involves setting up a server and configuring it with a user token and project URL
Choose AI-Infra-from-Zero-to-Hero if…
- License: AI-Infra-from-Zero-to-Hero is MIT, dstack is MPL-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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (dstackai/dstack) · observed Sep 20, 2026
- GitHub forks (dstackai/dstack) · observed Sep 20, 2026
- Last push (dstackai/dstack) · observed Sep 17, 2026
- License file (MPL-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- 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 on cards: dstack 2.3k · AI-Infra-from-Zero-to-Hero 4.3k (synced Sep 20, 2026).
Common questions
- What is the difference between dstack and AI-Infra-from-Zero-to-Hero?
- dstack: Vendor-agnostic orchestration for training, inference and agentic workloads. AI-Infra-from-Zero-to-Hero: Awesome System for Machine Learning and LLM Infra. See the comparison table for live GitHub stats and shared categories.
- When should I choose dstack over AI-Infra-from-Zero-to-Hero?
- Choose dstack over AI-Infra-from-Zero-to-Hero when License: dstack is MPL-2.0, AI-Infra-from-Zero-to-Hero is MIT; Pricing: The core functionality of dstack is free and open-source under the Mozilla Public License 2.0. Additional services or support may be available for a fee.; Requirements: Requires Docker; Requires Git and OpenSSH for CLI installation and configuration.; Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud; Also covers AI Agents; When you need orchestration for AI workloads that can run on a variety of hardware like NVIDIA, AMD, TPU, and Tenstorrent, and across different environments such as clouds, Kubernetes, and bare metal.
- When should I choose AI-Infra-from-Zero-to-Hero over dstack?
- Choose AI-Infra-from-Zero-to-Hero over dstack when License: AI-Infra-from-Zero-to-Hero is MIT, dstack is MPL-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 avoid dstack?
- If you are looking for a tool that is tightly integrated with a specific cloud provider or hardware vendor, as dstack is designed to be vendor-agnostic. When your project strictly requires proprietary licensing, as dstack is licensed under the Mozilla Public License 2.0, which is open source. If your team does not have the capability to install and configure the dstack CLI, which requires Git and OpenSSH, and involves setting up a server and configuring it with a user token and project URL
- 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.
- Is dstack or AI-Infra-from-Zero-to-Hero more popular on GitHub?
- AI-Infra-from-Zero-to-Hero has more GitHub stars (4,285 vs 2,253). Stars measure visibility, not whether either tool fits your constraints.
- Are dstack and AI-Infra-from-Zero-to-Hero open source?
- Yes - both are open-source projects on GitHub (dstack: MPL-2.0, AI-Infra-from-Zero-to-Hero: MIT).
- Where can I find alternatives to dstack or AI-Infra-from-Zero-to-Hero?
- GraphCanon lists graph-backed alternatives at dstack alternatives and AI-Infra-from-Zero-to-Hero alternatives (dstack markdown twin, AI-Infra-from-Zero-to-Hero 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, dstack or AI-Infra-from-Zero-to-Hero?
- dstack: Very active. AI-Infra-from-Zero-to-Hero: 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 dstack and AI-Infra-from-Zero-to-Hero?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dstack trust report; AI-Infra-from-Zero-to-Hero trust report.