个关于使用 Kubeflow 让中国电力变得更加智能的故事

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人工智能 (AI) 具有渗透和交织在我们社会中每个行业的潜力；然而，即便像 TensorFlow 这样的开源 AI 框架降低了实验新算法的障碍，但如果没有足够的计算能力，所有先进的深度神经网络都将陷入停滞。 Kubeflow 旨在定制 Kubernetes 以支持数据分析工作负载，并为模型开发人员提供弹性 AI 管道，以提高他们的模型开发速度，解决他们的开发过程中的琐事，并构建强大而高效的训綀和服务系统。我们分享了使用 Kubeflow 为中国国家电网工程师提供培训的过程，该网络是传统企业的典范，可以开发 OCR、愿景和时间序列预测模型，为其财务部门和核心业提供实用的创新功能。

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1 . Kubeflow & ,

2 .Market Competition

3 . 2017 $120 2021 $576 Deloitte Global 80 GPU 61% 2019 70% 2030 AI GPU : 230%, 2017 35

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7 . – Exhaust gas temperature of thermal power station Water level of hydropower station

8 .– Equipment model Equipment maintenance operation

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10 .“ ?” “ ”

11 .“ API ”

12 .“ ”

13 .“400 GPU 20 ”

14 .Enterprise Almanac 2018 by Work-Bench

15 .Kubeflow Machine Resource Data Collection Data Verification Management Serving Feature ML Infrastructure Code Analysis Tools Extraction Process Configuration Monitoring Management Tools Kubeflow

16 .xN Sad example

17 . A LOT A LOT

18 .• work

19 .○ AI API ■ kz docker, kubernetes 1 2 3 4

20 .• kz 97% 93% kz 99%

21 . Devops (CI/CD) • re-train

22 .○ ○ ○ We Need This and This

23 . AI OS AI AI SaaS GPU

24 . AI OS Streamlined and Data and resource management 1 2 interactive devops pipeline AI OS Integrated “model to business” loop 4 3 Distributed and orchestrated training

25 .AI OS

26 . AI OS AI AI AI Data Layer

27 .AI OS Demo Time

28 . AI Solution E-Business Retailing Finance Security Energy Face Object Smart Emotion App Store OCR Recognition Detection Bank Detection Framework Cross-cluster Authentication Backend Kubeflow Admin Storage Manager Data Manager Clever SDK Resource Cross-cluster Intelligent Management Authentication Operation Load Balancer CPU Memory Application Cyclone Automatically GPU Storage Orchestration DevOps Scaling Bare Infra Metal

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