--- title: "ai-serving vs glide" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/autodeployai-ai-serving-vs-einstack-glide" tools: ["autodeployai-ai-serving", "einstack-glide"] --- # ai-serving vs glide *GraphCanon updated Aug 14, 2026* ## Verdict Pick ai-serving if ai-Serving is an inference server supporting PMML and ONNX formats via HTTP or gRPC endpoints, easily deployable with Docker; pick glide if glide is an open-source Gateway tool built with Go for deploying and managing generative AI applications. [ai-serving](https://github.com/autodeployai/ai-serving) reports 166 GitHub stars, 31 forks, and 3 open issues, last pushed Feb 24, 2026. [glide](https://docs.einstack.ai/glide/) has 159 stars, 26 forks, and 68 open issues, last pushed Aug 12, 2024. Figures are from public GitHub metadata via [ai-serving's repository](https://github.com/autodeployai/ai-serving) and [glide's repository](https://github.com/EinStack/glide). | | [ai-serving](/tools/autodeployai-ai-serving.md) | [glide](/tools/einstack-glide.md) | | --- | --- | --- | | Tagline | Serving AI/ML models in open standard formats PMML and ONNX with HTTP and gRPC endpoints | A fast, simple model gateway for rapid development of production GenAI apps | | Stars | 166 | 159 | | Forks | 31 | 26 | | Open issues | 3 | 68 | | Language | Scala | Go | | Adopt for | Ai-Serving is an inference server supporting PMML and ONNX formats via HTTP or gRPC endpoints, easily deployable with Docker. | Glide is an open-source Gateway tool built with Go for deploying and managing generative AI applications. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Glide operates under the Apache-2.0 license. | | Categories | Inference & Serving | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-serving](/tools/autodeployai-ai-serving.md) | [glide](/tools/einstack-glide.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 171d | 719d | | Open issues (now) | 3 | 68 | | Stars delta | 0 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Full report | [trust report](/tools/autodeployai-ai-serving/trust.md) | [trust report](/tools/einstack-glide/trust.md) | ## Decision facts: ai-serving - **Adopt for:** Ai-Serving is an inference server supporting PMML and ONNX formats via HTTP or gRPC endpoints, easily deployable with Docker. ## Decision facts: glide - **Hosting:** self hosted - A self-hosted gateway that requires Docker for setting up and managing environments across different OS images. - **Pricing:** freemium - Free to use and open-source under the Apache-2.0 license, but additional cost might be incurred based on infrastructure where Glide is deployed. - **Adopt for:** Glide is an open-source Gateway tool built with Go for deploying and managing generative AI applications. - **License detail:** Glide operates under the Apache-2.0 license. ## Choose when ### Choose ai-serving if… - ai-serving is primarily Scala; glide is Go. - Tags unique to ai-serving: ai-serving, grpc, inference-server, onnx. - When you need to serve models in both PMML and ONNX formats without manual configuration changes between formats. ### Choose glide if… - glide is primarily Go; ai-serving is Scala. - A self-hosted gateway that requires Docker for setting up and managing environments across different OS images. - Pricing: Free to use and open-source under the Apache-2.0 license, but additional cost might be incurred based on infrastructure where Glide is deployed.. - Tags unique to glide: ai, gateway-api, genai, generative-ai. - When you need rapid deployment of GenAI apps using a simple model gateway that supports multiple Docker images including Alpine, Ubuntu, Distroless, and RedHat UBI. ## When NOT to use ai-serving - Avoid if your team lacks familiarity or willingness to use Scala for deployment through sbt build system for customization needs. - Not suitable when only one model format, either PMML or ONNX but not both, is needed and a simpler solution would suffice. - If your project strictly requires a non-Dockerized setup that does not align with using pre-built Docker images. ## When NOT to use glide - Avoid if your project's deployment environment is strictly Windows-based as Glide does not natively support Windows OS, requiring manual workaround steps from the demo README file. - Not suitable when you require a more versatile language choice for development other than Go, since Glide itself is fully developed in this language. ## Common questions ### What is the difference between ai-serving and glide? ai-serving: Serving AI/ML models in open standard formats PMML and ONNX with HTTP and gRPC endpoints. glide: A fast, simple model gateway for rapid development of production GenAI apps. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-serving over glide? Choose ai-serving over glide when ai-serving is primarily Scala; glide is Go; Tags unique to ai-serving: ai-serving, grpc, inference-server, onnx; When you need to serve models in both PMML and ONNX formats without manual configuration changes between formats. ### When should I choose glide over ai-serving? Choose glide over ai-serving when glide is primarily Go; ai-serving is Scala; A self-hosted gateway that requires Docker for setting up and managing environments across different OS images; Pricing: Free to use and open-source under the Apache-2.0 license, but additional cost might be incurred based on infrastructure where Glide is deployed.; Tags unique to glide: ai, gateway-api, genai, generative-ai; When you need rapid deployment of GenAI apps using a simple model gateway that supports multiple Docker images including Alpine, Ubuntu, Distroless, and RedHat UBI. ### When should I avoid ai-serving? Avoid if your team lacks familiarity or willingness to use Scala for deployment through sbt build system for customization needs. Not suitable when only one model format, either PMML or ONNX but not both, is needed and a simpler solution would suffice. If your project strictly requires a non-Dockerized setup that does not align with using pre-built Docker images. ### When should I avoid glide? Avoid if your project's deployment environment is strictly Windows-based as Glide does not natively support Windows OS, requiring manual workaround steps from the demo README file. Not suitable when you require a more versatile language choice for development other than Go, since Glide itself is fully developed in this language. ### Is ai-serving or glide more popular on GitHub? ai-serving has more GitHub stars (166 vs 159). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-serving and glide open source? Yes - both are open-source projects on GitHub (ai-serving: Apache-2.0, glide: Apache-2.0). ### Where can I find alternatives to ai-serving or glide? GraphCanon lists graph-backed alternatives at [ai-serving alternatives](/tools/autodeployai-ai-serving/alternatives) and [glide alternatives](/tools/einstack-glide/alternatives) ([ai-serving markdown twin](/tools/autodeployai-ai-serving/alternatives.md), [glide markdown twin](/tools/einstack-glide/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/autodeployai-ai-serving-vs-einstack-glide.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ai-serving or glide? ai-serving: Slowing. glide: 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 ai-serving and glide? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-serving trust report](/tools/autodeployai-ai-serving/trust); [glide trust report](/tools/einstack-glide/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=autodeployai-ai-serving`](/api/graphcanon/graph?tool=autodeployai-ai-serving) - 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/_