--- title: "scaling-book vs kubeai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jax-ml-scaling-book-vs-kubeai-project-kubeai" tools: ["jax-ml-scaling-book", "kubeai-project-kubeai"] --- # scaling-book vs kubeai *GraphCanon updated Aug 25, 2026* ## Verdict Pick scaling-book if scaling-book; pick kubeai if kubeai is an AI Inference Operator for Kubernetes that simplifies serving ML models in production environments and optimizes performance at scale. [scaling-book](https://jax-ml.github.io/scaling-book/) reports 1.4k GitHub stars, 191 forks, and 8 open issues, last pushed Aug 20, 2026. [kubeai](https://www.kubeai.org) has 1.2k stars, 131 forks, and 112 open issues, last pushed Jul 31, 2026. Figures are from public GitHub metadata via [scaling-book's repository](https://github.com/jax-ml/scaling-book) and [kubeai's repository](https://github.com/kubeai-project/kubeai). | | [scaling-book](/tools/jax-ml-scaling-book.md) | [kubeai](/tools/kubeai-project-kubeai.md) | | --- | --- | --- | | Tagline | Guide on scaling LLMs on TPUs | AI Inference Operator for Kubernetes | | Stars | 1,368 | 1,237 | | Forks | 191 | 131 | | Open issues | 8 | 112 | | Language | HTML | Go | | Adopt for | scaling-book | kubeai is an AI Inference Operator for Kubernetes that simplifies serving ML models in production environments and optimizes performance at scale. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [scaling-book](/tools/jax-ml-scaling-book.md) | [kubeai](/tools/kubeai-project-kubeai.md) | | --- | --- | --- | | Days since push | 4d | 2d | | Open issues (now) | 8 | 112 | | Stars delta | +77 (30d) | Unknown | | Open issues delta | +1 (30d) | Unknown | | Full report | [trust report](/tools/jax-ml-scaling-book/trust.md) | [trust report](/tools/kubeai-project-kubeai/trust.md) | ## Decision facts: scaling-book - **Adopt for:** scaling-book ## Decision facts: kubeai - **Adopt for:** kubeai is an AI Inference Operator for Kubernetes that simplifies serving ML models in production environments and optimizes performance at scale. ## Choose when ### Choose scaling-book if… - scaling-book is primarily HTML; kubeai is Go. - License: scaling-book is MIT, kubeai is Apache-2.0. - Tags unique to scaling-book: jax, llm-inference, llms, roofline. - You are working specifically with machine learning models that leverage Tensor Processing Units (TPUs) for performance and are looking to understand optimization techniques. ### Choose kubeai if… - kubeai is primarily Go; scaling-book is HTML. - License: kubeai is Apache-2.0, scaling-book is MIT. - Tags unique to kubeai: ai, autoscaler, faster-whisper, inference-operator. - Also covers Speech & Audio. - kubeai ships Docker support for self-hosted deployment. - - When you need to operate vLLM and Ollama servers for LLM inferencing ## When NOT to use scaling-book - Do not use if your project focuses exclusively on GPU scaling or other hardware not aligned with Tensor Processing Units (TPUs). - If you are looking for a general approach to any framework's scalability without emphasis on TPUs. - This resource is unsuitable if you need information about model training phases, as it emphasizes inference and serving phases. ## When NOT to use kubeai - - When your setup requires non-standard Kubernetes services that mandate the use of Istio or similar dependency injection systems - - If you're working in a constrained environment where zero-dependency is not desirable due to specific requirements for extended observability tools like Prometheus ## Common questions ### What is the difference between scaling-book and kubeai? scaling-book: Guide on scaling LLMs on TPUs. kubeai: AI Inference Operator for Kubernetes. See the comparison table for live GitHub stats and shared categories. ### When should I choose scaling-book over kubeai? Choose scaling-book over kubeai when scaling-book is primarily HTML; kubeai is Go; License: scaling-book is MIT, kubeai is Apache-2.0; Tags unique to scaling-book: jax, llm-inference, llms, roofline; You are working specifically with machine learning models that leverage Tensor Processing Units (TPUs) for performance and are looking to understand optimization techniques. ### When should I choose kubeai over scaling-book? Choose kubeai over scaling-book when kubeai is primarily Go; scaling-book is HTML; License: kubeai is Apache-2.0, scaling-book is MIT; Tags unique to kubeai: ai, autoscaler, faster-whisper, inference-operator; Also covers Speech & Audio; kubeai ships Docker support for self-hosted deployment; - When you need to operate vLLM and Ollama servers for LLM inferencing. ### When should I avoid scaling-book? Do not use if your project focuses exclusively on GPU scaling or other hardware not aligned with Tensor Processing Units (TPUs). If you are looking for a general approach to any framework's scalability without emphasis on TPUs. This resource is unsuitable if you need information about model training phases, as it emphasizes inference and serving phases. ### When should I avoid kubeai? - When your setup requires non-standard Kubernetes services that mandate the use of Istio or similar dependency injection systems - If you're working in a constrained environment where zero-dependency is not desirable due to specific requirements for extended observability tools like Prometheus ### Is scaling-book or kubeai more popular on GitHub? scaling-book has more GitHub stars (1,368 vs 1,237). Stars measure visibility, not whether either tool fits your constraints. ### Are scaling-book and kubeai open source? Yes - both are open-source projects on GitHub (scaling-book: MIT, kubeai: Apache-2.0). ### Where can I find alternatives to scaling-book or kubeai? GraphCanon lists graph-backed alternatives at [scaling-book alternatives](/tools/jax-ml-scaling-book/alternatives) and [kubeai alternatives](/tools/kubeai-project-kubeai/alternatives) ([scaling-book markdown twin](/tools/jax-ml-scaling-book/alternatives.md), [kubeai markdown twin](/tools/kubeai-project-kubeai/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/jax-ml-scaling-book-vs-kubeai-project-kubeai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, scaling-book or kubeai? scaling-book: Very active. kubeai: 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 scaling-book and kubeai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [scaling-book trust report](/tools/jax-ml-scaling-book/trust); [kubeai trust report](/tools/kubeai-project-kubeai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jax-ml-scaling-book`](/api/graphcanon/graph?tool=jax-ml-scaling-book) - 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/_