--- title: "distributed-llama vs gateway" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/b4rtaz-distributed-llama-vs-missingstudio-gateway" tools: ["b4rtaz-distributed-llama", "missingstudio-gateway"] --- # distributed-llama vs gateway *GraphCanon updated Sep 20, 2026* ## 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. [distributed-llama](https://github.com/b4rtaz/distributed-llama) reports 3.1k GitHub stars, 250 forks, and 48 open issues, last pushed Jul 5, 2026. [gateway](https://www.missing.studio) has 161 stars, 16 forks, and 10 open issues, last pushed Apr 8, 2024. Figures are from public GitHub metadata via [distributed-llama's repository](https://github.com/b4rtaz/distributed-llama) and [gateway's repository](https://github.com/pyadav/gateway). | | [distributed-llama](/tools/b4rtaz-distributed-llama.md) | [gateway](/tools/missingstudio-gateway.md) | | --- | --- | --- | | Tagline | Distributed LLM inference using home devices cluster | Core infrastructure stack for building production-ready AI Applications | | Stars | 3,060 | 161 | | Forks | 250 | 16 | | Open issues | 48 | 10 | | Language | C++ | Go | | Adopt for | distributed-llama is a C++ framework that leverages multiple home devices for faster large language model inference, under the MIT license. | 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 | - | - | | Runtime | - | - | | License | MIT | AI Gateway is licensed under Apache-2.0, allowing for broad usage and modification. | | Categories | Inference & Serving | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [distributed-llama](/tools/b4rtaz-distributed-llama.md) | [gateway](/tools/missingstudio-gateway.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 76d | 893d | | Open issues (now) | 48 | 10 | | Stars delta | +48 (30d) | +1 (30d) | | Full report | [trust report](/tools/b4rtaz-distributed-llama/trust.md) | [trust report](/tools/missingstudio-gateway/trust.md) | ## Decision facts: distributed-llama - **Adopt for:** distributed-llama is a C++ framework that leverages multiple home devices for faster large language model inference, under the MIT license. ## Decision facts: gateway - **Pricing:** freemium - 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. - **Adopt for:** AI Gateway is a core infrastructure stack for deploying production-ready AI applications, supporting multiple operating systems and offering Docker images for easy deployment. - **License detail:** AI Gateway is licensed under Apache-2.0, allowing for broad usage and modification. ## Choose when ### 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. ### 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 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 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. ## 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](/tools/b4rtaz-distributed-llama/alternatives) and [gateway alternatives](/tools/missingstudio-gateway/alternatives) ([distributed-llama markdown twin](/tools/b4rtaz-distributed-llama/alternatives.md), [gateway markdown twin](/tools/missingstudio-gateway/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/b4rtaz-distributed-llama-vs-missingstudio-gateway.md) 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](/tools/b4rtaz-distributed-llama/trust); [gateway trust report](/tools/missingstudio-gateway/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=b4rtaz-distributed-llama`](/api/graphcanon/graph?tool=b4rtaz-distributed-llama) - 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/_