--- title: "gpustack vs ome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/gpustack-gpustack-vs-ome-projects-ome" tools: ["gpustack-gpustack", "ome-projects-ome"] --- # gpustack vs ome *GraphCanon updated Aug 25, 2026* ## Verdict Pick gpustack if gpustack is a Python-based tool for managing GPU clusters focused on efficient AI model inference and on-demand SSH-accessible GPU instances; pick ome if oME is a Kubernetes operator tailored for LLM serving and management, focusing on tasks such as GPU scheduling and model lifecycle control, compatible with SGLang, vLLM, TensorRT-LLM, and Triton. [gpustack](https://gpustack.ai) reports 5.5k GitHub stars, 609 forks, and 673 open issues, last pushed Aug 7, 2026. [ome](http://ome-projects.github.io/ome/) has 495 stars, 92 forks, and 127 open issues, last pushed Aug 25, 2026. Figures are from public GitHub metadata via [gpustack's repository](https://github.com/gpustack/gpustack) and [ome's repository](https://github.com/ome-projects/ome). | | [gpustack](/tools/gpustack-gpustack.md) | [ome](/tools/ome-projects-ome.md) | | --- | --- | --- | | Tagline | A GPU cluster manager for high-performance AI model serving and on-demand SSH-accessible GPU instances | Kubernetes operator for LLM serving and management | | Stars | 5,454 | 495 | | Forks | 609 | 92 | | Open issues | 673 | 127 | | Language | Python | Go | | Adopt for | gpustack is a Python-based tool for managing GPU clusters focused on efficient AI model inference and on-demand SSH-accessible GPU instances. | OME is a Kubernetes operator tailored for LLM serving and management, focusing on tasks such as GPU scheduling and model lifecycle control, compatible with SGLang, vLLM, TensorRT-LLM, and Triton. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Inference & Serving | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [gpustack](/tools/gpustack-gpustack.md) | [ome](/tools/ome-projects-ome.md) | | --- | --- | --- | | Open issues (now) | 673 | 127 | | Stars delta | Unknown | +13 (30d) | | Open issues delta | Unknown | +6 (30d) | | Full report | [trust report](/tools/gpustack-gpustack/trust.md) | [trust report](/tools/ome-projects-ome/trust.md) | ## Decision facts: gpustack - **Pricing:** freemium - **Requirements:** Requires Docker - **Adopt for:** gpustack is a Python-based tool for managing GPU clusters focused on efficient AI model inference and on-demand SSH-accessible GPU instances. - **License detail:** Apache-2.0 ## Decision facts: ome - **Adopt for:** OME is a Kubernetes operator tailored for LLM serving and management, focusing on tasks such as GPU scheduling and model lifecycle control, compatible with SGLang, vLLM, TensorRT-LLM, and Triton. ## Choose when ### Choose gpustack if… - gpustack is primarily Python; ome is Go. - Requirements: Requires Docker. - Tags unique to gpustack: ascend, cuda, deepseek, distributed-inference. - When you need to manage multiple GPUs for high-performance inference tasks with models like vLLM or SGLang. ### Choose ome if… - ome is primarily Go; gpustack is Python. - Tags unique to ome: gpu-scheduling, kubernetes-operator, llm-inference, model-serving. - If you need robust GPU scheduling alongside LLM serving ## When NOT to use gpustack - If your deployment constraints do not permit the use of Docker containers and there is a need for bare-metal deployments without containerized solutions. - When the tool-specific focus on certain models like vLLM or SGLang does not align with the model ecosystem preferred by your team. ## When NOT to use ome - In environments where a language other than Go for the operator's implementation is preferred - When your infrastructure does not support or utilize Kubernetes for orchestration purposes ## Common questions ### What is the difference between gpustack and ome? gpustack: A GPU cluster manager for high-performance AI model serving and on-demand SSH-accessible GPU instances. ome: Kubernetes operator for LLM serving and management. See the comparison table for live GitHub stats and shared categories. ### When should I choose gpustack over ome? Choose gpustack over ome when gpustack is primarily Python; ome is Go; Requirements: Requires Docker; Tags unique to gpustack: ascend, cuda, deepseek, distributed-inference; When you need to manage multiple GPUs for high-performance inference tasks with models like vLLM or SGLang. ### When should I choose ome over gpustack? Choose ome over gpustack when ome is primarily Go; gpustack is Python; Tags unique to ome: gpu-scheduling, kubernetes-operator, llm-inference, model-serving; If you need robust GPU scheduling alongside LLM serving. ### When should I avoid gpustack? If your deployment constraints do not permit the use of Docker containers and there is a need for bare-metal deployments without containerized solutions. When the tool-specific focus on certain models like vLLM or SGLang does not align with the model ecosystem preferred by your team. ### When should I avoid ome? In environments where a language other than Go for the operator's implementation is preferred When your infrastructure does not support or utilize Kubernetes for orchestration purposes ### Is gpustack or ome more popular on GitHub? gpustack has more GitHub stars (5,454 vs 495). Stars measure visibility, not whether either tool fits your constraints. ### Are gpustack and ome open source? Yes - both are open-source projects on GitHub (gpustack: Apache-2.0, ome: Apache-2.0). ### Where can I find alternatives to gpustack or ome? GraphCanon lists graph-backed alternatives at [gpustack alternatives](/tools/gpustack-gpustack/alternatives) and [ome alternatives](/tools/ome-projects-ome/alternatives) ([gpustack markdown twin](/tools/gpustack-gpustack/alternatives.md), [ome markdown twin](/tools/ome-projects-ome/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/gpustack-gpustack-vs-ome-projects-ome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, gpustack or ome? gpustack: Very active. ome: 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 gpustack and ome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [gpustack trust report](/tools/gpustack-gpustack/trust); [ome trust report](/tools/ome-projects-ome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=gpustack-gpustack`](/api/graphcanon/graph?tool=gpustack-gpustack) - 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/_