GPUクラウド上でkubeflowを動かすには？

PyconJP 2019 ランチセッション

Transcript

1. Machine Learning環境構築とかその他もろもろ
4. ⚫ ⚫ ⚫ ⚫
6. 2019年3月28日 機械学習・ディープラーニング向けGPUサーバー 「GPUクラウド byGMO」提供開始
15. Business Understanding Data Under Standing Data Preparation Modeling 。
16. Hidden TechnicalDebt in Machine Learning Systems https://papers.nips.cc/paper/5656-hidden-technical-debt-in-machine-learning-systems.pdf
18. MLOpsの歩き方より n月刊ラムダノート
20. Meet Michelangelo: Uber’s Machine Learning Platform https://eng.uber.com/michelangelo/
21. Meet Michelangelo: Uber’s Machine Learning Platform https://eng.uber.com/michelangelo/
24. 仕事ではじめる機械学習がおススメです
27. ⚫ ⚫ ⚫ ⚫ https://www.docker.com/
28. ⚫ ⚫ ⚫ https://ai.google/research/pubs/pub43438 Large-scale cluster management at Google with Borg
30. Kubernetes, The Open and Scalable Approach to ML Pipelines https://towardsdatascience.com/kubernetes-the-open-and-scalable-approach-to-ml-pipelines-1e972a965f0d
36. TFX: A TensorFlow-Based Production-Scale Machine Learning Platform https://www.kdd.org/kdd2017/papers/view/tfx-a-tensorflow-based-production-scale-machine-learning-platform
37. ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ Kubeflow Deep Dive – David Aronchick & Jeremy Lewi, Google (Intermediate Skill Level) (Slides Attached) https://kccnceu18.sched.com/event/Drnd/kubeflow-deep-dive-david-aronchick-jeremy-lewi-google-intermediate-skill-level ⚫ ⚫