Home/Compare/gpustack vs ome

Comparison

gpustack vs ome

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.

Markdown twin · gpustack alternatives · ome alternatives

GraphCanon updated 2w

gpustack logo

gpustack

gpustack/gpustack

5.5kpushed Aug 7, 2026
vs
ome logo

ome

ome-projects/ome

482pushed Jul 25, 2026

Trust & integrity

Signalgpustackome
Maintenance
Very active (0d since push)
As of 2w · github_public_v1
Very active (0d since push)
As of 1mo · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 1mo · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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

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

Stars

gpustack
5.5k
ome
482

Forks

gpustack
609
ome
87

Open issues

gpustack
673
ome
121

Language

gpustack
Python
ome
Go

Adopt for

gpustack
gpustack is a Python-based tool for managing GPU clusters focused on efficient AI model inference and on-demand SSH-accessible GPU instances.
ome
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

gpustack
-
ome
-

Runtime

gpustack
-
ome
-

License

gpustack
Apache-2.0
ome
Apache-2.0

Last pushed

gpustack
Aug 7, 2026
ome
Jul 25, 2026

Categories

gpustack
Inference & Serving
ome
Inference & Serving

Trust and health

Open issues (now)

gpustack
673
ome
121

Full report

gpustack
Trust report

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.

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.

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 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

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: gpustack 5.5k · ome 482 (synced Aug 7, 2026).

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 482). 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 and ome alternatives (gpustack markdown twin, ome 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, 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; ome trust report.

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