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Linux基金会&CNCF:2026年度云原生调查报告:AI未来的基础设施(英文版)(27页).pdf

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1、Adrienn Lawson,The Linux FoundationJeffrey Sica,Cloud Native Computing Foundation(CNCF)Foreword by Jonathan Bryce,Executive Director,Cloud and Infrastructure,The Linux FoundationJanuary 2026CNCF Annual Cloud Native SurveyThe infrastructureof AIs futureCNCF Annual Cloud Native Survey:The infrastructu

2、re of AIs futureCopyright 2026 The Linux Foundation|January 2026.This report is licensed under the Creative Commons Attribution-NoDerivatives 4.0 International Public License.Please cite this research report when using the infographics.See guidance on the reports back page.”Contents Foreword .4Execu

3、tive summary .5Introduction .5Kubernetes as the AI platform .6The maturity of cloud native infrastructure .9Cloud native maturity profiles .13CNCF Projects .18Conclusion .20Methodology .21About the authors .26Acknowledgments .26ForewordThis year,we celebrate the 10-year anniversary of the Cloud Nati

4、ve Computing Foundation.A decade ago,the concepts we now consider industry standards were a revolutionary vision.Today,they are the undisputed foundation of modern software systems.I was honored to step into the role of Executive Director midway through this banner year.This reports findings confirm

5、 that cloud native has truly arrived.98%of organizations have adopted cloud native techniques,and Kubernetes usage in production has soared to 82%among container users.This maturity has revealed our communitys next great opportunities.The primary challenge in cloud native is no longer technical comp

6、lexity;47%of organizations now cite“cultural changes with the development team”as their top obstacle.This is the“why”behind Platform Engineering.Our community is leading this charge,building the standard platforms that tame complexity and unlock developer velocity.We can see this in GitOps adoption

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1. **云原生成熟度**:98%组织采用云原生技术,Kubernetes生产使用率达82%,容器化生产应用占比56%。 2. **AI基础设施**:66%组织用Kubernetes运行生成式AI工作负载,但仅7%实现每日部署,52%不训练模型(多为消费者)。 3. **挑战转变**:技术复杂性不再是主要障碍,47%组织面临“开发团队文化变革”阻力。 4. **成熟度模型**:组织分探索者(8%)、采用者(32%)、实践者(34%)、创新者(25%),GitOps采纳率从0%(探索者)升至58%(创新者)。 5. **可持续性**:AI负载的“机器驱动自动化使用”对开源基础设施造成压力,需可持续资助模式。
AI基础设施现状如何? 云原生成熟度分几级? 开源可持续性面临挑战?
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