From 6cec6a9f1128eeae4d96ba23328817394081dad0 Mon Sep 17 00:00:00 2001 From: Jimmy Song Date: Fri, 3 Jul 2026 21:51:14 +0800 Subject: [PATCH 1/2] blog: add announcement for HAMi's acceptance as CNCF Incubating project Signed-off-by: Jimmy Song --- blog/hami-cncf-incubating/index.md | 25 +++++++++++++++++++ .../hami-cncf-incubating/index.md | 25 +++++++++++++++++++ 2 files changed, 50 insertions(+) create mode 100644 blog/hami-cncf-incubating/index.md create mode 100644 i18n/zh/docusaurus-plugin-content-blog/hami-cncf-incubating/index.md diff --git a/blog/hami-cncf-incubating/index.md b/blog/hami-cncf-incubating/index.md new file mode 100644 index 000000000..82f67037a --- /dev/null +++ b/blog/hami-cncf-incubating/index.md @@ -0,0 +1,25 @@ +--- +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. + + + +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). diff --git a/i18n/zh/docusaurus-plugin-content-blog/hami-cncf-incubating/index.md b/i18n/zh/docusaurus-plugin-content-blog/hami-cncf-incubating/index.md new file mode 100644 index 000000000..c2babf9c7 --- /dev/null +++ b/i18n/zh/docusaurus-plugin-content-blog/hami-cncf-incubating/index.md @@ -0,0 +1,25 @@ +--- +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。 + + + +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。 + +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。 From 6053d71c3d4a6698ea1526c6d75ceeada3878dde Mon Sep 17 00:00:00 2001 From: Jimmy Song Date: Fri, 3 Jul 2026 22:09:16 +0800 Subject: [PATCH 2/2] docs: refine usage context and case studies for HAMi in CNCF Incubating announcement Signed-off-by: Jimmy Song --- blog/hami-cncf-incubating/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/blog/hami-cncf-incubating/index.md b/blog/hami-cncf-incubating/index.md index 82f67037a..35f94fd2a 100644 --- a/blog/hami-cncf-incubating/index.md +++ b/blog/hami-cncf-incubating/index.md @@ -16,7 +16,7 @@ Our sincere thanks to CNCF TOC Chair [Karena Angell](https://www.linkedin.com/fe 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). +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.