Home/Compare/distributed-llama vs gateway

Comparison

distributed-llama vs gateway

Verdict

Pick distributed-llama if distributed-llama is a C++ framework that leverages multiple home devices for faster large language model inference, under the MIT license; pick gateway if aI Gateway is a core infrastructure stack for deploying production-ready AI applications, supporting multiple operating systems and offering Docker images for easy deployment.

Markdown twin · distributed-llama alternatives · gateway alternatives

GraphCanon updated Sep 20, 2026

7views this month

distributed-llama logo

distributed-llama

b4rtaz/distributed-llama

★ 3.1kpushed Jul 5, 2026
vs
gateway logo

gateway

pyadav/gateway

★ 161pushed Apr 8, 2024

Trust & integrity

Signaldistributed-llamagateway
Maintenance
Steady (76d since push)
As of Sep 19, 2026 · github_public_v1
Dormant (893d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 19, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · 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

distributed-llama
Distributed LLM inference using home devices cluster
gateway
Core infrastructure stack for building production-ready AI Applications

Stars

distributed-llama
3.1k
gateway
161

Forks

distributed-llama
250
gateway
16

Open issues

distributed-llama
48
gateway
10

Language

distributed-llama
C++
gateway
Go

Adopt for

distributed-llama
distributed-llama is a C++ framework that leverages multiple home devices for faster large language model inference, under the MIT license.
gateway
AI Gateway is a core infrastructure stack for deploying production-ready AI applications, supporting multiple operating systems and offering Docker images for easy deployment.

Persona

distributed-llama
-
gateway
-

Runtime

distributed-llama
-
gateway
-

License

distributed-llama
MIT
gateway
AI Gateway is licensed under Apache-2.0, allowing for broad usage and modification.

Last pushed

distributed-llama
Jul 5, 2026
gateway
Apr 8, 2024

Categories

distributed-llama
Inference & Serving
gateway
Inference & Serving

Trust and health

Maintenance

distributed-llama
Steady (60%)
gateway
Dormant (18%)

Days since push

distributed-llama
76d
gateway
893d

Open issues (now)

distributed-llama
48
gateway
10

Stars delta

distributed-llama
+48 (30d)
gateway
+1 (30d)

Full report

distributed-llama
Trust report

Choose distributed-llama if…

  • distributed-llama is primarily C++; gateway is Go.
  • License: distributed-llama is MIT, gateway is Apache-2.0.
  • Tags unique to distributed-llama: distributed-computing, llm-inference, neural-network.
  • When you have multiple interconnected home devices and want to maximize their combined computing power for LLM inference tasks.

When NOT to use distributed-llama

  • For scenarios with fewer than two available devices, as the framework's capability to distribute and boost performance would be limited.
  • In professional environments that require strict data privacy controls, due to potential network vulnerabilities among home devices.

Choose gateway if…

  • gateway is primarily Go; distributed-llama is C++.
  • License: gateway is Apache-2.0, distributed-llama is MIT.
  • Pricing: The tool is free to use under the Apache-2.0 license, with no explicit premium features mentioned..
  • Requirements: Min 2 GB RAM; Requires Docker; Docker is required for deployment, and the tool supports a wide range of operating systems..
  • Tags unique to gateway: ai, aistudio, api, gateway.
  • gateway ships Docker support for self-hosted deployment.
  • Use AI Gateway when you need to deploy production-ready AI applications across various operating systems, as it supports macOS, Windows, Linux, OpenBSD, and FreeBSD.

When NOT to use gateway

  • Avoid AI Gateway if you require a tool that is actively maintained, as the repository indicates the tool is deprecated.
  • Do not use AI Gateway if you need a solution that supports real-time updates or the latest features, since the deprecation status suggests limited ongoing development and support.

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 3.1k · gateway 161 (synced Sep 20, 2026).

Common questions

What is the difference between distributed-llama and gateway?
distributed-llama: Distributed LLM inference using home devices cluster. gateway: Core infrastructure stack for building production-ready AI Applications. See the comparison table for live GitHub stats and shared categories.
When should I choose distributed-llama over gateway?
Choose distributed-llama over gateway when distributed-llama is primarily C++; gateway is Go; License: distributed-llama is MIT, gateway is Apache-2.0; Tags unique to distributed-llama: distributed-computing, llm-inference, neural-network; When you have multiple interconnected home devices and want to maximize their combined computing power for LLM inference tasks.
When should I choose gateway over distributed-llama?
Choose gateway over distributed-llama when gateway is primarily Go; distributed-llama is C++; License: gateway is Apache-2.0, distributed-llama is MIT; Pricing: The tool is free to use under the Apache-2.0 license, with no explicit premium features mentioned.; Requirements: Min 2 GB RAM; Requires Docker; Docker is required for deployment, and the tool supports a wide range of operating systems.; Tags unique to gateway: ai, aistudio, api, gateway; gateway ships Docker support for self-hosted deployment; Use AI Gateway when you need to deploy production-ready AI applications across various operating systems, as it supports macOS, Windows, Linux, OpenBSD, and FreeBSD.
When should I avoid distributed-llama?
For scenarios with fewer than two available devices, as the framework's capability to distribute and boost performance would be limited. In professional environments that require strict data privacy controls, due to potential network vulnerabilities among home devices.
When should I avoid gateway?
Avoid AI Gateway if you require a tool that is actively maintained, as the repository indicates the tool is deprecated. Do not use AI Gateway if you need a solution that supports real-time updates or the latest features, since the deprecation status suggests limited ongoing development and support.
Is distributed-llama or gateway more popular on GitHub?
distributed-llama has more GitHub stars (3,060 vs 161). Stars measure visibility, not whether either tool fits your constraints.
Are distributed-llama and gateway open source?
Yes - both are open-source projects on GitHub (distributed-llama: MIT, gateway: Apache-2.0).
Where can I find alternatives to distributed-llama or gateway?
GraphCanon lists graph-backed alternatives at distributed-llama alternatives and gateway alternatives (distributed-llama markdown twin, gateway 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 gateway?
distributed-llama: Steady. gateway: Dormant. 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 gateway?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: distributed-llama trust report; gateway trust report.

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