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25 changes: 25 additions & 0 deletions blog/hami-cncf-incubating/index.md
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---
title: "HAMi Moves to CNCF Incubating Stage"
date: "2026-07-02"
description: "On July 2, 2026, the CNCF Technical Oversight Committee (TOC) voted to accept HAMi as a CNCF Incubating project."
authors: [hami_community]
tags: ["CNCF", "Incubating"]
---

We are excited to announce that **on July 2, 2026, HAMi was accepted as a CNCF Incubating project**, with the CNCF Technical Oversight Committee passing [the incubation vote](https://github.com/cncf/toc/issues/1775) unanimously in favor.

This is an important milestone following HAMi joining the CNCF as a Sandbox project in August 2024. It means the CNCF Technical Oversight Committee (TOC) recognizes HAMi's mature technical and security practices, active community, real production adoption, and open ecosystem integration.

<!-- truncate -->

Our sincere thanks to CNCF TOC Chair [Karena Angell](https://www.linkedin.com/feed/update/urn:li:activity:7478594903292399616/), who led the due diligence, TOC member Kevin Wang, TAG-Runtime for its technical review, and all the adopters who shared their insights.

HAMi is a heterogeneous compute virtualization and scheduling middleware for Kubernetes. Through container-level hard isolation, it finely partitions GPU memory and compute so that multiple workloads can safely share a single accelerator. Founded by maintainers [Xiao Zhang](https://github.com/wawa0210) and [Mengxuan Li](https://github.com/archlitchi), it is built by developers worldwide under CNCF governance.

Today, HAMi is used by hundreds of organizations across a dozen-plus accelerators including NVIDIA, Ascend, Cambricon, Hygon, Moore Threads, Enflame, Kunlunxin, MetaX, AWS Neuron, and Vastai (see the [supported device list](https://project-hami.io/docs/userguide/device-supported)). [CNCF case studies](https://project-hami.io/case-studies) document production practices at China Merchants Bank, SNOW Corp., NIO, KE Holdings, DaoCloud, SF Technology, and PREP EDU, spanning finance, automotive, mobility, logistics, education, and cloud services. HAMi-core integrates with the Kubernetes default scheduler, [Volcano](https://github.com/volcano-sh/volcano/blob/master/docs/user-guide/how_to_use_gpu_sharing.md), [Kueue](https://github.com/kubernetes-sigs/kueue), [Koordinator](https://koordinator.sh/docs/user-manuals/device-scheduling-gpu-share-with-hami), and the [NVIDIA KAI Scheduler](/blog/hami-core-adopted-by-nvidia-kai-scheduler).

This milestone was made possible by a global community of nearly 500 contributors from dozens of countries. [Dynamia](https://www.dynamia.ai), [DaoCloud](https://www.daocloud.io), [4Paradigm](https://www.4paradigm.com), [NVIDIA](https://www.nvidia.com), and [Huawei Cloud](https://www.huawei.com), together with many individual developers, user enterprises, and ecosystem partners, have each made irreplaceable contributions.

Entering Incubation is a higher starting point. The community will keep investing in upstream R&D, ecosystem adaptation, and production-grade deployment, working with global partners to make HAMi the open infrastructure for heterogeneous compute management in the AI era.

Come build with us on [GitHub](https://github.com/Project-HAMi/HAMi) and the [community](/community).
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---
title: "HAMi 晋升 CNCF 孵化项目"
date: "2026-07-02"
description: "2026 年 7 月 2 日,CNCF 技术监督委员会(TOC)投票通过,HAMi 正式晋升为 CNCF Incubating(孵化)项目。"
authors: [hami_community]
tags: ["CNCF", "Incubating"]
---

我们很高兴地宣布:**2026 年 7 月 2 日,HAMi 正式晋升为 CNCF Incubating(孵化)项目**,CNCF 技术监督委员会以全票赞成通过了[本次孵化投票](https://github.com/cncf/toc/issues/1775)。

这是 HAMi 继 2024 年 8 月作为 Sandbox 项目加入 CNCF 后的又一个重要里程碑,意味着 CNCF 技术监督委员会(TOC)认可 HAMi 已具备成熟的技术与安全实践、活跃的社区、真实的生产采用与开放的生态集成。

<!-- truncate -->

衷心感谢主导本次尽职调查的 CNCF TOC 主席 [Karena Angell](https://www.linkedin.com/feed/update/urn:li:activity:7478594903292399616/) 与 TOC 成员 Kevin Wang,为项目完成技术评审的 TAG-Runtime,以及所有提供反馈的采用者。

HAMi 是面向 Kubernetes 的异构算力虚拟化与调度中间件,通过容器级硬隔离精细切分 GPU 显存与算力,让多个工作负载安全共享同一张加速器。项目由 [张潇](https://github.com/wawa0210)、[李孟轩](https://github.com/archlitchi) 等维护者发起,在 CNCF 治理下由全球开发者共建。

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📐 Maintainability & Code Quality | 🟡 Minor | ⚡ Quick win

Use the correct classifier here.

加速器 should be counted with , not .

♻️ Proposed fix
-让多个工作负载安全共享同一张加速器。
+让多个工作负载安全共享同一台加速器。
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
HAMi 是面向 Kubernetes 的异构算力虚拟化与调度中间件,通过容器级硬隔离精细切分 GPU 显存与算力,让多个工作负载安全共享同一张加速器。项目由 [张潇](https://github.com/wawa0210)[李孟轩](https://github.com/archlitchi) 等维护者发起,在 CNCF 治理下由全球开发者共建。
HAMi 是面向 Kubernetes 的异构算力虚拟化与调度中间件,通过容器级硬隔离精细切分 GPU 显存与算力,让多个工作负载安全共享同一台加速器。项目由 [张潇](https://github.com/wawa0210)[李孟轩](https://github.com/archlitchi) 等维护者发起,在 CNCF 治理下由全球开发者共建。
🧰 Tools
🪛 LanguageTool

[uncategorized] ~17-~17: “张” 不能与 “加速器” 搭配,请更换量词。
Context: ...中间件,通过容器级硬隔离精细切分 GPU 显存与算力,让多个工作负载安全共享同一张加速器。项目由 张潇、[...

(wa5)

🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@i18n/zh/docusaurus-plugin-content-blog/hami-cncf-incubating/index.md` at line
17, The introductory paragraph in the HAMi blog post uses the wrong classifier
for “加速器”; update the wording in the sentence mentioning shared accelerator
hardware so it uses “台” instead of “张”. Keep the rest of the description
unchanged and make the correction directly in the blog content where the product
overview is written.

Source: Linters/SAST tools


今天,HAMi 已被数百家组织采用,覆盖 NVIDIA、昇腾、寒武纪、海光、摩尔线程、燧原、昆仑芯、MetaX、AWS Neuron、Vastai 等十余种加速器(见[支持设备列表](https://project-hami.io/docs/userguide/device-supported)),并以 [CNCF 案例研究](https://project-hami.io/case-studies)的形式记录了招商银行、SNOW Corp.、蔚来、贝壳、DaoCloud、顺丰科技、PREP EDU 等的落地实践,横跨金融、汽车、出行、物流、教育与云服务。HAMi-core 已与 Kubernetes 默认调度器、[Volcano](https://github.com/volcano-sh/volcano/blob/master/docs/user-guide/how_to_use_gpu_sharing.md)、[Kueue](https://github.com/kubernetes-sigs/kueue)、[Koordinator](https://koordinator.sh/docs/user-manuals/device-scheduling-gpu-share-with-hami) 以及 [NVIDIA KAI Scheduler](/zh/blog/hami-core-adopted-by-nvidia-kai-scheduler) 完成集成。

这一里程碑离不开全球贡献者与社区的共建:HAMi 至今已汇聚来自几十个国家的近 500 名贡献者。[密瓜智能(Dynamia)](https://www.dynamia.ai)、[DaoCloud](https://www.daocloud.io)、[第四范式](https://www.4paradigm.com)、[NVIDIA](https://www.nvidia.com)、[华为云](https://www.huawei.com),以及众多个人开发者、用户企业与生态伙伴,都作出了不可替代的贡献。

进入孵化阶段是更高的起点。社区将继续投入上游研发、生态适配与生产级落地,与全球伙伴一起,让 HAMi 成为 AI 时代异构算力管理的开放基础设施。

欢迎在 [GitHub](https://github.com/Project-HAMi/HAMi) 与[社区](/community)加入我们。
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