Home/Compare/distributed-llama vs ollama

Comparison

distributed-llama vs ollama

Verdict

Pick distributed-llama when distributed-llama is primarily C++; ollama is Go; pick ollama when ollama is primarily Go; distributed-llama is C++.

Markdown twin · distributed-llama alternatives · ollama alternatives

GraphCanon updated today

distributed-llama logo

distributed-llama

b4rtaz/distributed-llama

3.0kpushed Jul 5, 2026
vs
ollama logo

ollama

ollama/ollama

176kpushed Jul 10, 2026

Trust & integrity

Signaldistributed-llamaollama
Maintenance
Very active (5d since push)
As of today · github_public_v1
Very active (1d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal 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

distributed-llama
Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
ollama
Get up and running with various large language models using Ollama.

Stars

distributed-llama
3.0k
ollama
176k

Forks

distributed-llama
238
ollama
17k

Open issues

distributed-llama
48
ollama
3.4k

Language

distributed-llama
C++
ollama
Go

Adopt for

distributed-llama
-
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

distributed-llama
-
ollama
-

Runtime

distributed-llama
-
ollama
-

License

distributed-llama
MIT
ollama
MIT license - permissive open-source licensing that allows for broad use of the tool.

Last pushed

distributed-llama
Jul 5, 2026
ollama
Jul 10, 2026

Categories

distributed-llama
Inference & Serving, LLM Frameworks
ollama
Inference & Serving, LLM Frameworks

Trust and health

Days since push

distributed-llama
5d
ollama
1d

Open issues (now)

distributed-llama
48
ollama
3.4k

Owner type

distributed-llama
User
ollama
Organization

Security scan

distributed-llama
No lockfile
ollama
52 low (52 low)

Full report

distributed-llama
Trust report

Choose distributed-llama if…

  • distributed-llama is primarily C++; ollama is Go.
  • Tags unique to distributed-llama: distributed-computing, distributed-llm, llama2, llama3.
  • Leaner open-issue backlog (48).

When NOT to use distributed-llama

  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Choose ollama if…

  • ollama is primarily Go; distributed-llama is C++.
  • Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers.
  • Tags unique to ollama: deepseek, gemma, glm, go.
  • 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: distributed-llama 3.0k · ollama 176k (synced Jul 11, 2026).

Common questions

What is the difference between distributed-llama and ollama?
distributed-llama: Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.. 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 distributed-llama over ollama?
Choose distributed-llama over ollama when distributed-llama is primarily C++; ollama is Go; Tags unique to distributed-llama: distributed-computing, distributed-llm, llama2, llama3; Leaner open-issue backlog (48).
When should I choose ollama over distributed-llama?
Choose ollama over distributed-llama when ollama is primarily Go; distributed-llama is C++; Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers; Tags unique to ollama: deepseek, gemma, glm, go; 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 distributed-llama?
Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
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 distributed-llama or ollama more popular on GitHub?
ollama has more GitHub stars (175,936 vs 2,981). Stars measure visibility, not whether either tool fits your constraints.
Are distributed-llama and ollama open source?
Yes - both are open-source projects on GitHub (distributed-llama: MIT, ollama: MIT).
Where can I find alternatives to distributed-llama or ollama?
GraphCanon lists graph-backed alternatives at distributed-llama alternatives and ollama alternatives (distributed-llama 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, distributed-llama or ollama?
distributed-llama: 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 distributed-llama and ollama?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: distributed-llama trust report; ollama trust report.