--- title: "dstack vs pai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dstackai-dstack-vs-microsoft-pai" tools: ["dstackai-dstack", "microsoft-pai"] --- # dstack vs pai *GraphCanon updated Aug 24, 2026* ## Verdict Pick dstack if vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal; pick pai if pai is an open-source solution focused on resource scheduling and cluster management that supports deep learning frameworks including TensorFlow, PyTorch, and Chainer. [dstack](https://dstack.ai/docs) reports 2.2k GitHub stars, 250 forks, and 66 open issues, last pushed Aug 23, 2026. [pai](https://openpai.readthedocs.io) has 2.7k stars, 549 forks, and 282 open issues, last pushed Jun 6, 2024. Figures are from public GitHub metadata via [dstack's repository](https://github.com/dstackai/dstack) and [pai's repository](https://github.com/microsoft/pai). | | [dstack](/tools/dstackai-dstack.md) | [pai](/tools/microsoft-pai.md) | | --- | --- | --- | | Tagline | Vendor-agnostic orchestration for AI workloads | Resource scheduling and cluster management for AI | | Stars | 2,219 | 2,686 | | Forks | 250 | 549 | | Open issues | 66 | 282 | | Language | Python | JavaScript | | Adopt for | Vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal. | pai is an open-source solution focused on resource scheduling and cluster management that supports deep learning frameworks including TensorFlow, PyTorch, and Chainer. | | Persona | - | - | | Runtime | - | - | | License | MPL-2.0 | MIT | | Categories | AI Agents, Inference & Serving, Model Training | Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dstack](/tools/dstackai-dstack.md) | [pai](/tools/microsoft-pai.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 0d | 788d | | Archived on GitHub | No | Yes | | Open issues (now) | 66 | 282 | | Stars delta | +27 (30d) | Unknown | | Open issues delta | +5 (30d) | Unknown | | Full report | [trust report](/tools/dstackai-dstack/trust.md) | [trust report](/tools/microsoft-pai/trust.md) | ## Decision facts: dstack - **Adopt for:** Vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal. ## Decision facts: pai - **Adopt for:** pai is an open-source solution focused on resource scheduling and cluster management that supports deep learning frameworks including TensorFlow, PyTorch, and Chainer. ## Choose when ### Choose dstack if… - dstack is primarily Python; pai is JavaScript. - License: dstack is MPL-2.0, pai is MIT. - Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud. - Also covers AI Agents. - If your project requires support for multiple hardware vendors such as NVIDIA, AMD, TPU, or Tenstorrent ### Choose pai if… - pai is primarily JavaScript; dstack is Python. - License: pai is MIT, dstack is MPL-2.0. - Tags unique to pai: ai, artificial-intelligence, kubernetes, machine-learning. - When you are working with JavaScript-based projects and need to integrate model training or serving operations within your tech stack seamlessly ## When NOT to use dstack - When sticking to single-vendor solutions where tightly integrated proprietary tools are preferred - If the project strictly avoids open-source components with Mozilla Public License (MPL-2.0) ## When NOT to use pai - For organizations that prefer a more comprehensive suite tailored for specific languages other than JavaScript, as the tool's focus is clearly on this language environment - When looking for solutions strictly hosted in cloud environments, as pai also supports deployment in on-premise settings which could complicate decisions if cloud dependency is critical ## Common questions ### What is the difference between dstack and pai? dstack: Vendor-agnostic orchestration for AI workloads. pai: Resource scheduling and cluster management for AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose dstack over pai? Choose dstack over pai when dstack is primarily Python; pai is JavaScript; License: dstack is MPL-2.0, pai is MIT; Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud; Also covers AI Agents; If your project requires support for multiple hardware vendors such as NVIDIA, AMD, TPU, or Tenstorrent. ### When should I choose pai over dstack? Choose pai over dstack when pai is primarily JavaScript; dstack is Python; License: pai is MIT, dstack is MPL-2.0; Tags unique to pai: ai, artificial-intelligence, kubernetes, machine-learning; When you are working with JavaScript-based projects and need to integrate model training or serving operations within your tech stack seamlessly. ### When should I avoid dstack? When sticking to single-vendor solutions where tightly integrated proprietary tools are preferred If the project strictly avoids open-source components with Mozilla Public License (MPL-2.0) ### When should I avoid pai? For organizations that prefer a more comprehensive suite tailored for specific languages other than JavaScript, as the tool's focus is clearly on this language environment When looking for solutions strictly hosted in cloud environments, as pai also supports deployment in on-premise settings which could complicate decisions if cloud dependency is critical ### Is dstack or pai more popular on GitHub? pai has more GitHub stars (2,686 vs 2,219). Stars measure visibility, not whether either tool fits your constraints. ### Are dstack and pai open source? Yes - both are open-source projects on GitHub (dstack: MPL-2.0, pai: MIT). ### Where can I find alternatives to dstack or pai? GraphCanon lists graph-backed alternatives at [dstack alternatives](/tools/dstackai-dstack/alternatives) and [pai alternatives](/tools/microsoft-pai/alternatives) ([dstack markdown twin](/tools/dstackai-dstack/alternatives.md), [pai markdown twin](/tools/microsoft-pai/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/dstackai-dstack-vs-microsoft-pai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dstack or pai? dstack: Very active. pai: Archived. 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 pai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dstack trust report](/tools/dstackai-dstack/trust); [pai trust report](/tools/microsoft-pai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dstackai-dstack`](/api/graphcanon/graph?tool=dstackai-dstack) - 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/_