--- title: "gateway vs server" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/missingstudio-gateway-vs-triton-inference-server-server" tools: ["missingstudio-gateway", "triton-inference-server-server"] --- # gateway vs server *GraphCanon updated Sep 20, 2026* ## Verdict 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; pick server if triton Inference Server is an open-source solution for streamlining AI inferencing, supporting multiple deep learning and machine learning frameworks, and enabling deployment across various devices and environments. [gateway](https://www.missing.studio) reports 161 GitHub stars, 16 forks, and 10 open issues, last pushed Apr 8, 2024. [server](https://docs.nvidia.com/deeplearning/triton-inference-server/user-guide/docs/index.html) has 11k stars, 1.8k forks, and 894 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [gateway's repository](https://github.com/pyadav/gateway) and [server's repository](https://github.com/triton-inference-server/server). | | [gateway](/tools/missingstudio-gateway.md) | [server](/tools/triton-inference-server-server.md) | | --- | --- | --- | | Tagline | Core infrastructure stack for building production-ready AI Applications | Optimized cloud and edge inferencing solution | | Stars | 161 | 10,995 | | Forks | 16 | 1,837 | | Open issues | 10 | 894 | | Language | Go | Python | | 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. | Triton Inference Server is an open-source solution for streamlining AI inferencing, supporting multiple deep learning and machine learning frameworks, and enabling deployment across various devices and environments. | | Persona | - | - | | Runtime | - | - | | License | AI Gateway is licensed under Apache-2.0, allowing for broad usage and modification. | BSD-3-Clause | | Categories | Inference & Serving | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [gateway](/tools/missingstudio-gateway.md) | [server](/tools/triton-inference-server-server.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 893d | 0d | | Open issues (now) | 10 | 894 | | Stars delta | +1 (30d) | +110 (30d) | | Open issues delta | 0 (30d) | -11 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/missingstudio-gateway/trust.md) | [trust report](/tools/triton-inference-server-server/trust.md) | ## 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. ## Decision facts: server - **Adopt for:** Triton Inference Server is an open-source solution for streamlining AI inferencing, supporting multiple deep learning and machine learning frameworks, and enabling deployment across various devices and environments. ## Choose when ### Choose gateway if… - gateway is primarily Go; server is Python. - License: gateway is Apache-2.0, server is BSD-3-Clause. - 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. ### Choose server if… - server is primarily Python; gateway is Go. - License: server is BSD-3-Clause, gateway is Apache-2.0. - Tags unique to server: cloud, datacenter, deep-learning, edge. - Use Triton Inference Server when you need to deploy AI models across multiple frameworks such as TensorRT, PyTorch, ONNX, and OpenVINO. ## 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. ## When NOT to use server - Avoid Triton Inference Server if your project is not compatible with the NVIDIA AI Enterprise ecosystem and you do not require support for NVIDIA GPUs. - Do not use Triton Inference Server if your deployment environment does not support the frameworks it is optimized for, such as TensorRT, PyTorch, ONNX, and OpenVINO. - If your application does not require dynamic batching or sequence batching, Triton Inference Server might not be the best choice. - If you are looking for a solution that does not integrate with the KServe protocol for HTTP/REST and GRPC inference, Triton Inference Server may not be suitable. ## Common questions ### What is the difference between gateway and server? gateway: Core infrastructure stack for building production-ready AI Applications. server: Optimized cloud and edge inferencing solution. See the comparison table for live GitHub stats and shared categories. ### When should I choose gateway over server? Choose gateway over server when gateway is primarily Go; server is Python; License: gateway is Apache-2.0, server is BSD-3-Clause; 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 choose server over gateway? Choose server over gateway when server is primarily Python; gateway is Go; License: server is BSD-3-Clause, gateway is Apache-2.0; Tags unique to server: cloud, datacenter, deep-learning, edge; Use Triton Inference Server when you need to deploy AI models across multiple frameworks such as TensorRT, PyTorch, ONNX, and OpenVINO. ### 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. ### When should I avoid server? Avoid Triton Inference Server if your project is not compatible with the NVIDIA AI Enterprise ecosystem and you do not require support for NVIDIA GPUs. Do not use Triton Inference Server if your deployment environment does not support the frameworks it is optimized for, such as TensorRT, PyTorch, ONNX, and OpenVINO. If your application does not require dynamic batching or sequence batching, Triton Inference Server might not be the best choice. If you are looking for a solution that does not integrate with the KServe protocol for HTTP/REST and GRPC inference, Triton Inference Server may not be suitable. ### Is gateway or server more popular on GitHub? server has more GitHub stars (10,995 vs 161). Stars measure visibility, not whether either tool fits your constraints. ### Are gateway and server open source? Yes - both are open-source projects on GitHub (gateway: Apache-2.0, server: BSD-3-Clause). ### Where can I find alternatives to gateway or server? GraphCanon lists graph-backed alternatives at [gateway alternatives](/tools/missingstudio-gateway/alternatives) and [server alternatives](/tools/triton-inference-server-server/alternatives) ([gateway markdown twin](/tools/missingstudio-gateway/alternatives.md), [server markdown twin](/tools/triton-inference-server-server/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/missingstudio-gateway-vs-triton-inference-server-server.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, gateway or server? gateway: Dormant. server: 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 gateway and server? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [gateway trust report](/tools/missingstudio-gateway/trust); [server trust report](/tools/triton-inference-server-server/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=missingstudio-gateway`](/api/graphcanon/graph?tool=missingstudio-gateway) - 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/_