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10:35 • A Year in the Life of a Developer in the Era of Developer Portals: Navigating Backstage | 开发者在开发者门户时代的一年生活:导航Backstage - Helen Greul, Spotify
11:25 • Beyond Statefulset: Containerize Your Enterprise Stateful Applications in Practice | 超越StatefulSet:实践中将企业有状态应用容器化 - Mingshan Zhao, Alibaba Cloud & Vec Sun, xiaohongshu
13:20 • Build Container Runtime Based on Sandbox API of Containerd | 基于Containerd的Sandbox API构建容器运行时 - Shaobao Feng, Huawei Cloud & Cai Wei, DaoCloud
14:10 • Developing a Standard Multi-Cluster Inventory API | 开发标准的多集群Inventory API - Zhiying Lin & Chen Yu, Microsoft; Hongcai Ren, Huawei; Di Xu, Xiaohongshu; Jian Qiu, Redhat
15:15 • Expanding Cloud Native Capabilities with WASM: A Case Study of Harbor and WASM Integration | 通过WASM扩展云原生能力:Harbor和WASM集成案例研究 - Chenyu Zhang, AntGroup & Yan Wang, Broadcom
16:05 • JD Cloud's Large-Scale Serverless Practice : APP Management and Elastic Scaling on Karmada | 京东云的大规模无服务器实践:在Karmada上的应用管理和弹性扩展 - XiaoFei Wang & Chen Yanying, JDCloud
10:35 • Optimize LLM Workflows with Smart Infrastructure Enhanced by Volcano | 通过Volcano增强的智能基础设施优化LLM工作流程 - Xin Li, qihoo360 & William Wang, Huawei Cloud Technologies Co., LTD
11:25 • New Advances for Cross-Platform AI Applications in Docker | Docker中跨平台AI应用程序的新进展 - Michael Yuan, Second State
13:20 • Constructing the 10x Efficiency of Cloud-Native AI Infrastructure | 如何让你的 AI 底座效能提升 10 倍? - Peter Pan, DaoCloud & 秋萍 戴, daocloud
14:10 • Model Service Mesh: A New Paradigm for Large-Scale AI Model Service Deployment and Management | 模型服务网格:大规模AI模型服务部署和管理的新范式 - Xi Ning Wang, Alibaba Cloud & Huailong Zhang, Intel China
15:15 • No More Runtime Setup! Let's Bundle, Distribute, Deploy, Scale LLMs Seamlessly with Ollama Operator | 无需运行时设置!让我们使用Ollama Operator轻松捆绑、分发、部署、扩展LLMs - Fanshi Zhang, DaoCloud
16:05 • Unlocking LLM Performance with EBPF: Optimizing Training and Inference Pipelines | 通过eBPF解锁LLM性能:优化训练和推理管道 - Yang Xiang, Yunshan Networks, Inc.
10:35 • Breaking Boundaries: TACC as an Unified Cloud-Native Infra for AI + HPC | 打破界限:TACC作为AI + HPC统一云原生基础设施 - Peter Pan, DaoCloud & Kaiqiang Xu, Hong Kong University of Science and Technology
11:25 • LLM's Anywhere: Browser Deployment with Wasm & WebGPU | LLM随处可用:使用Wasm和WebGPU进行浏览器部署 - Joinal Ahmed, Navatech Group & Nikhil Rana, Google Cloud
13:20 • Write Once Run Anywhere, but for GPUs | GPU 时代的“一次编写,到处运行” - Michael Yuan, Second State
14:10 • Unveiling the Future: Nurturing Openness in AI Development | 揭示未来:培育人工智能开放性发展 - Anni Lai, Futurewei & Mer Joyce, Do Big Good LLC
15:15 • Detecting and Overcoming GPU Failures During ML Training | 在ML训练过程中检测和克服GPU故障 - Ganeshkumar Ashokavardhanan, Microsoft & Sarah Belghiti, Wayve
16:05 • Boosting LLM Development and Training Efficiency: Automated Parallelization with MindSpore | 提升LLM开发和培训效率:MindSpore自动并行化 - Yufeng Lyu, Huawei Technologies Co., Ltd
10:35 • Containerd: Project Update and Deep Dive | Containerd:项目更新和深入探讨 - Akhil Mohan, VMware & Iceber Gu, DaoCloud
11:25 • Next Steps for the Ingress-NGINX Project | Ingress-NGINX项目的下一步计划 - Jintao Zhang, Kong Inc.
13:20 • Inplace-Update: The Past, Present and Future | 原地更新:过去、现在和未来 - Zhang Zhen & Mingshan Zhao & Yuxing Yuan, Alibaba Cloud
14:10 • Ensuring Success with Kyverno in Production: What You Must Know | 在生产环境中确保Kyverno成功:你必须知道的事项 - Shuting Zhao, Nirmata
15:15 • Dragonfly: Intro, Updates and Ant Group's Practice of Accelerating Model Distribution in Ray Serving | Dragonfly:介绍、更新和蚂蚁集团在Ray Serving中加速模型分发的实践 - Wenbo Qi, Ant Group & Qixiang Chen, AntGroup
16:05 • CubeFS Boosts Efficiency of AI Production | CubeFS提高了AI生产的效率 - Chi He, OPPO
10:35 • Leveraging Multi-Cluster Architecture for Resilient and Elastic Hybrid Cloud at Xiaohongshu - Feng Xiong, 小红书 & Hongcai Ren, Huawei
11:25 • Rollout Patterns: Smoothly Migrating and Rolling Out Your Microservices | 部署模式:平稳迁移和部署您的微服务 - Tim Xiao, DaoCloud & Wu Chenhui, AS.Watson TechLab
13:20 • What if Your System Experiences an Outage? Let's Build a Resilient Systems with Chaos Engineering | 如果您的系统遇到故障怎么办?让我们通过混沌工程构建弹性系统 - NamKyu Park, LitmusChaos
14:10 • Opportunities and Challenges of Cloud Native Technology in US Healthtech | 美国健康科技中云原生技术的机遇与挑战 - Katerina Arzhayev, SUSE
15:15 • The Experience of ChillyRoom Developing & Managing Session-Based Game on K8s with OpenKruiseGame | 在K8s上使用OpenKruiseGame开发和管理基于会话的游戏的ChillyRoom经验 - Qiuyang Liu, Alibaba Cloud & Xinhao Liu, ChillyRoom
16:05 • dora-rs: Dataflow Oriented Robotic AI framework | dora-rs:面向数据流的机器人AI框架 - Philipp Oppermann, Freelancer & Xavier Tao, 1ms.ai
09:00 • Keynote: Opening Remarks | 主论坛演讲:开场致辞
09:05 • Keynote: Deploying LLM Workloads on Kubernetes by WasmEdge and Kuasar | 主论坛演讲: 使用WasmEdge和Kuasar在Kubernetes上部署LLM工作负载 - Tianyang Zhang, Huawei Cloud & Xiaowei Hu, Second State
09:25 • Keynote: Linus Torvalds, Creator of Linux & Git, in Conversation with Dirk Hohndel, Head of the Open Source Program Office, Verizon | 主论坛演讲: Linux和Git的创始人Linus Torvalds与Verizon开源项目办公室主任Dirk Hohndel的对话
09:55 • Keynote: Closing Remarks | 主论坛演讲: 闭幕词
10:35 • Deep Dive Into Windows CSI Driver HostProcess Containers | 深入探讨Windows CSI驱动程序HostProcess容器 - Andy Zhang (OSTC) & Weizhi Chen, Microsoft
11:25 • Evolution of SPDK Vhost-FS Solution to Accelerate File Access in VMs and Secure Containers | SPDK Vhost-FS解决方案的演进,加速虚拟机中的文件访问并保护容器 - Changpeng Liu, Intel
13:20 • JuiceFS CSI in Multi-Thousand Node Kubernetes Clusters for LLM Pre-Training | JuiceFS CSI在LLM预训练中用于几千节点Kubernetes集群 - Weiwei Zhu, juicedata
14:10 • KuaiShou's 100% Resource Utilization Boost: 100K Redis Migration from Bare Metal to Kubernetes | 快手的100%资源利用率提升:从裸机迁移100K Redis到Kubernetes - XueQiang Wu, ApeCloud & YuXing Liu, Kuaishou
15:15 • The Challenges of Kubernetes Data Protection - Real Examples and Solutions with Velero | Kubernetes数据保护的挑战- Velero的真实案例和解决方案 - Wenkai Yin, Broadcom & Bruce Zou, Shanghai Jibu Tech
16:05 • TiDB: Your Next MySQL Is Not a MySQL | TiDB:你的下一个 MySQL 何必是 MySQL - Qizhi Wang, PingCAP