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  • Please check if the PR fulfills these requirements
  • The commit message follows our guidelines
  • What kind of change does this PR introduce? (Bug fix, feature, docs update, ...)

/kind documentation

  • What this PR does / why we need it:

This is adding a blog to introduce kthena

  • Which issue(s) this PR fixes:

@volcano-sh-bot volcano-sh-bot added the kind/documentation Categorizes issue or PR as related to documentation. label Dec 29, 2025
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[APPROVALNOTIFIER] This PR is NOT APPROVED

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Summary of Changes

Hello @hzxuzhonghu, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces Kthena, a new subproject within the Volcano community, designed to address the complex challenges of deploying and serving large language models (LLMs) efficiently on Kubernetes. By integrating advanced routing, orchestration, and scheduling mechanisms, Kthena provides a robust cloud-native solution to enhance resource utilization, optimize performance, and simplify the management of LLM inference workloads in production environments.

Highlights

  • Kthena Introduction: A new Volcano subproject, Kthena, is introduced, focusing on cloud-native LLM inference.
  • Purpose: Kthena aims to optimize LLM inference on Kubernetes by improving GPU/NPU resource utilization, throughput, and reducing latency.
  • Architecture: Kthena comprises two main components: Kthena Router for intelligent request distribution and Kthena Controller Manager for LLM workload orchestration and lifecycle management.
  • Key Features: Includes production-grade inference orchestration (ModelServing), out-of-the-box model deployment (ModelBooster), intelligent model-aware routing, cost-driven autoscaling, and support for diverse hardware and inference engines.
  • Performance Gains: Demonstrates significant performance improvements, such as a 2.73x increase in throughput and a 73.5% reduction in TTFT for long prompts with KV Cache aware scheduling.

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@volcano-sh-bot volcano-sh-bot added the size/L Denotes a PR that changes 100-499 lines, ignoring generated files. label Dec 29, 2025
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Code Review

本次 PR 旨在为 Kthena 项目添加一篇介绍性的博客文章。文章内容翔实,撰写得很好。我对 Markdown 文件提出了一些小的语法和拼写修正建议。此外,SVG 图像文件可以进行优化以减小其文件大小,从而提升页面加载性能。

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@kevin-wangzefeng

- **All-in-one实现架构**,无需部署Envoy Gateway,原生支持PD分离的流量调度,将多层路由合并成一层,易于维护

**4) 成本驱动的自动扩缩容(Autoscaler)**
- **同构伸缩**:支持稳定、突发双模式,按业务指标(CPU/GPU/内存/自定义)精准扩缩
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@JesseStutler JesseStutler Dec 29, 2025

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Looks like a new line is needed here, as the current rendering is not showing the effect. Also same as point 5 and point 6:
image

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fixed

Signed-off-by: Zhonghu Xu <[email protected]>
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/lgtm
Please also /cc @kevin-wangzefeng

@volcano-sh-bot volcano-sh-bot added the lgtm Indicates that a PR is ready to be merged. label Dec 29, 2025
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@Arhell Arhell left a comment

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lgtm

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4 participants