Home/Compare/gpustack vs ollama

Comparison

gpustack vs ollama

Verdict

Pick gpustack when gpustack is primarily Python; ollama is Go; pick ollama when ollama is primarily Go; gpustack is Python.

Markdown twin · gpustack alternatives · ollama alternatives

GraphCanon updated today

gpustack logo

gpustack

gpustack/gpustack

5.3kpushed Jul 10, 2026
vs
ollama logo

ollama

ollama/ollama

176kpushed Jul 10, 2026

Trust & integrity

Signalgpustackollama
Maintenance
Very active (1d since push)
As of today · github_public_v1
Very active (1d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
52 low (52 low)
As of today · osv@v1

Tagline

gpustack
A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.
ollama
Get up and running with various large language models using Ollama.

Stars

gpustack
5.3k
ollama
176k

Forks

gpustack
566
ollama
17k

Open issues

gpustack
609
ollama
3.4k

Language

gpustack
Python
ollama
Go

Adopt for

gpustack
-
ollama
Ollama is a Go-based platform that provides tools for deploying and managing large language models (LLMs) like Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma using docker images, package managers, cloud and

Persona

gpustack
-
ollama
-

Runtime

gpustack
-
ollama
-

License

gpustack
Apache-2.0
ollama
MIT license - permissive open-source licensing that allows for broad use of the tool.

Last pushed

gpustack
Jul 10, 2026
ollama
Jul 10, 2026

Categories

gpustack
LLM Frameworks, Vector Databases, Inference & Serving
ollama
LLM Frameworks, Inference & Serving

Trust and health

Open issues (now)

gpustack
609
ollama
3.4k

Security scan

gpustack
No lockfile
ollama
52 low (52 low)

Full report

gpustack
Trust report

Choose gpustack if…

  • gpustack is primarily Python; ollama is Go.
  • License: gpustack is Apache-2.0, ollama is MIT.
  • Tags unique to gpustack: ascend, genai, high-performance-inference, cuda.
  • Also covers Vector Databases.

When NOT to use gpustack

  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Choose ollama if…

  • ollama is primarily Go; gpustack is Python.
  • License: ollama is MIT, gpustack is Apache-2.0.
  • Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers.
  • Tags unique to ollama: go, llms, mistral, gemma.
  • ollama ships Docker support for self-hosted deployment.
  • Use Ollama when you require a multi-model platform supporting several large language models such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and intend to deploy in various cloud or

When NOT to use ollama

  • Avoid using Ollama if you are only interested in a single LLM deployment and seek simplified, model-specific solutions with tailored support rather than a comprehensive multi-model platform.

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 5.3k · ollama 176k (synced Jul 11, 2026).

Common questions

What is the difference between gpustack and ollama?
gpustack: A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.. ollama: Get up and running with various large language models using Ollama.. See the comparison table for live GitHub stats and shared categories.
When should I choose gpustack over ollama?
Choose gpustack over ollama when gpustack is primarily Python; ollama is Go; License: gpustack is Apache-2.0, ollama is MIT; Tags unique to gpustack: ascend, genai, high-performance-inference, cuda; Also covers Vector Databases.
When should I choose ollama over gpustack?
Choose ollama over gpustack when ollama is primarily Go; gpustack is Python; License: ollama is MIT, gpustack is Apache-2.0; Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers; Tags unique to ollama: go, llms, mistral, gemma; ollama ships Docker support for self-hosted deployment; Use Ollama when you require a multi-model platform supporting several large language models such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and intend to deploy in various cloud or.
When should I avoid gpustack?
LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
When should I avoid ollama?
Avoid using Ollama if you are only interested in a single LLM deployment and seek simplified, model-specific solutions with tailored support rather than a comprehensive multi-model platform.
Is gpustack or ollama more popular on GitHub?
ollama has more GitHub stars (175,936 vs 5,301). Stars measure visibility, not whether either tool fits your constraints.
Are gpustack and ollama open source?
Yes - both are open-source projects on GitHub (gpustack: Apache-2.0, ollama: MIT).
Where can I find alternatives to gpustack or ollama?
GraphCanon lists graph-backed alternatives at gpustack alternatives and ollama alternatives (gpustack markdown twin, ollama 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 ollama?
gpustack: Very active. ollama: 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 ollama?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpustack trust report; ollama trust report.