--- title: "dstack vs gpustack" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dstackai-dstack-vs-gpustack-gpustack" tools: ["dstackai-dstack", "gpustack-gpustack"] --- # dstack vs gpustack *GraphCanon updated Sep 20, 2026* ## 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 gpustack if gpustack is a GPU cluster manager that supports high-performance AI model serving and on-demand SSH-accessible GPU instances, suitable for environments requiring robust management of GPU resources and support for various. [dstack](https://dstack.ai/docs) reports 2.3k GitHub stars, 262 forks, and 64 open issues, last pushed Sep 17, 2026. [gpustack](https://gpustack.ai) has 5.7k stars, 650 forks, and 700 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [dstack's repository](https://github.com/dstackai/dstack) and [gpustack's repository](https://github.com/gpustack/gpustack). | | [dstack](/tools/dstackai-dstack.md) | [gpustack](/tools/gpustack-gpustack.md) | | --- | --- | --- | | Tagline | Vendor-agnostic orchestration for training, inference and agentic workloads | A GPU cluster manager for high-performance AI model serving and on-demand SSH-accessible GPU instances | | Stars | 2,253 | 5,710 | | Forks | 262 | 650 | | Open issues | 64 | 700 | | Language | Python | Python | | Adopt for | dstack is a vendor-agnostic orchestration tool for AI workloads, including training, inference, and agentic tasks, across various hardware and environments. | gpustack is a GPU cluster manager that supports high-performance AI model serving and on-demand SSH-accessible GPU instances, suitable for environments requiring robust management of GPU resources and support for various | | Persona | - | - | | Runtime | - | - | | License | dstack is licensed under the Mozilla Public License 2.0, which is an open-source license. | gpustack is licensed under the Apache License, Version 2.0, which allows for free use, modification, and distribution of the software, provided that the license terms are adhered to. | | Categories | AI Agents, Inference & Serving, Model Training | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dstack](/tools/dstackai-dstack.md) | [gpustack](/tools/gpustack-gpustack.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 64 | 700 | | Stars delta | +61 (30d) | +256 (30d) | | Open issues delta | +3 (30d) | +27 (30d) | | Full report | [trust report](/tools/dstackai-dstack/trust.md) | [trust report](/tools/gpustack-gpustack/trust.md) | ## Decision facts: dstack - **Pricing:** freemium - 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. - **Adopt for:** dstack is a vendor-agnostic orchestration tool for AI workloads, including training, inference, and agentic tasks, across various hardware and environments. - **License detail:** dstack is licensed under the Mozilla Public License 2.0, which is an open-source license. ## Decision facts: gpustack - **Pricing:** freemium - gpustack is free to use under the Apache License, Version 2.0, but users may incur costs related to the infrastructure and resources used to run the tool. - **Requirements:** Min 4 GB RAM; Requires Docker; gpustack requires Docker for installation and management.; Ensure that the Docker environment is properly set up and that the user has the necessary permissions to run Docker commands. - **Adopt for:** gpustack is a GPU cluster manager that supports high-performance AI model serving and on-demand SSH-accessible GPU instances, suitable for environments requiring robust management of GPU resources and support for various - **License detail:** gpustack is licensed under the Apache License, Version 2.0, which allows for free use, modification, and distribution of the software, provided that the license terms are adhered to. ## Choose when ### Choose dstack if… - License: dstack is MPL-2.0, gpustack is Apache-2.0. - 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, Model Training. - 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. ### Choose gpustack if… - License: gpustack is Apache-2.0, dstack is MPL-2.0. - Pricing: gpustack is free to use under the Apache License, Version 2.0, but users may incur costs related to the infrastructure and resources used to run the tool.. - Requirements: Min 4 GB RAM; Requires Docker; gpustack requires Docker for installation and management.; Ensure that the Docker environment is properly set up and that the user has the necessary permissions to run Docker commands.. - Tags unique to gpustack: ascend, cuda, deepseek, distributed-inference. - When you need to manage a GPU cluster for high-performance AI model serving and require on-demand SSH-accessible GPU instances. ## 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 ## When NOT to use gpustack - If your project does not require the specific AI frameworks and technologies supported by gpustack, such as vLLM and SGLang, and you need broader support. - When you are looking for a solution that does not rely on Docker for deployment, as gpustack requires Docker for installation and management. - If you need a tool that provides more extensive customization options beyond what gpustack offers, as it may not be as flexible in terms of configuration. ## Common questions ### What is the difference between dstack and gpustack? dstack: Vendor-agnostic orchestration for training, inference and agentic workloads. gpustack: A GPU cluster manager for high-performance AI model serving and on-demand SSH-accessible GPU instances. See the comparison table for live GitHub stats and shared categories. ### When should I choose dstack over gpustack? Choose dstack over gpustack when License: dstack is MPL-2.0, gpustack is Apache-2.0; 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, Model Training; 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 gpustack over dstack? Choose gpustack over dstack when License: gpustack is Apache-2.0, dstack is MPL-2.0; Pricing: gpustack is free to use under the Apache License, Version 2.0, but users may incur costs related to the infrastructure and resources used to run the tool.; Requirements: Min 4 GB RAM; Requires Docker; gpustack requires Docker for installation and management.; Ensure that the Docker environment is properly set up and that the user has the necessary permissions to run Docker commands.; Tags unique to gpustack: ascend, cuda, deepseek, distributed-inference; When you need to manage a GPU cluster for high-performance AI model serving and require on-demand SSH-accessible GPU instances. ### 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 gpustack? If your project does not require the specific AI frameworks and technologies supported by gpustack, such as vLLM and SGLang, and you need broader support. When you are looking for a solution that does not rely on Docker for deployment, as gpustack requires Docker for installation and management. If you need a tool that provides more extensive customization options beyond what gpustack offers, as it may not be as flexible in terms of configuration. ### Is dstack or gpustack more popular on GitHub? gpustack has more GitHub stars (5,710 vs 2,253). Stars measure visibility, not whether either tool fits your constraints. ### Are dstack and gpustack open source? Yes - both are open-source projects on GitHub (dstack: MPL-2.0, gpustack: Apache-2.0). ### Where can I find alternatives to dstack or gpustack? GraphCanon lists graph-backed alternatives at [dstack alternatives](/tools/dstackai-dstack/alternatives) and [gpustack alternatives](/tools/gpustack-gpustack/alternatives) ([dstack markdown twin](/tools/dstackai-dstack/alternatives.md), [gpustack markdown twin](/tools/gpustack-gpustack/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-gpustack-gpustack.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dstack or gpustack? dstack: Very active. gpustack: 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 dstack and gpustack? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dstack trust report](/tools/dstackai-dstack/trust); [gpustack trust report](/tools/gpustack-gpustack/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/_