Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
ML on Kubernetes with Kubeflow #3 Kubeflow Pipe...
Search
Keita Watanabe
November 24, 2022
Technology
1.2k
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
ML on Kubernetes with Kubeflow #3 Kubeflow Pipelines: Part1
Kubernetes Meetup Tokyo #54
https://k8sjp.connpass.com/event/264501/
で発表したLT資料
Keita Watanabe
November 24, 2022
More Decks by Keita Watanabe
See All by Keita Watanabe
[re:Invent 2025] Distributed inference on AWS: Deep dive into inference optimizations (AIM353)
keitaw
1
210
Scalable Infrastructure for Large-Scale AI Training with AWS Sagemaker Hyperpod @ Singapore AI Hour
keitaw
0
140
[AWS Summit Japan 2025] Optimizing Foundation Model Development with Amazon SageMaker HyperPod: Insights from Training the Amazon Nova Model
keitaw
0
77
Building foundation models on AWS
keitaw
1
620
[re:Invent2024 Chalktalk] Cost-effectively deploy PyTorch LLMs on AWS Inferentia using Amazon EKS
keitaw
0
160
AWS Summit New York 2024: CMP 301 Demystifying the ML software stack on Amazon EC2 accelerated instances
keitaw
0
550
re:Invent 2023 CMP319 Deploy LLMs with AWS Inferentia & Ray to optimize performance and cost
keitaw
0
88
re:Invent 2023: CMP332 De-mystifying ML software stack on Amazon EC2 accelerated instances
keitaw
1
260
AWS における LLM・GenAI 大規模学習への取り組み / Large scale GenAI・LLM training on AWS
keitaw
1
630
Other Decks in Technology
See All in Technology
魔法少女がClaude Codeを監視する / ccportal-deck
noriyukitakei
3
110
マイナンバーカード本人確認の実装比較(OAuth/OIDC Numa (Immersion) Workshop 2026) / 20260825 numa-12
oidfj
PRO
0
420
Does an AI Watermark Survive Translation?
machinetranslation
0
510
『自分で判断できるか』を基準に、プロダクトのハンズオン研修でAI利用の線を引いてみた / Where We Drew the Line on AI in Hands-on Training
honyanya
1
510
顧客の要望は2次情報である 〜アンテナを張るFDEの構造論〜
noriakioji
5
1.1k
ClaudeCodeでセキュリティ監視業務を半自動化_1年の運用でわかったAIに任せる設計の5つのポイント
kintotechdev
4
1k
分割40%キーボードにスムーズに入門するには
hoto17296
1
210
人気商品が「ちゃんと買える」をつくる ー ECの負荷改善
ykagano
1
170
承認ゲートは何を守っているのか? AIエージェントの自律購入を実測した結果
yama3133
1
100
Sansan Engineering Unit 紹介資料
sansan33
PRO
1
5k
1000⼈規模のClaude Enterprise運⽤を「Oktaのグループ」と「Slack」に集約する
sansantech
PRO
1
550
markdown-poster Introduction
kazamori
0
440
Featured
See All Featured
Become a Pro
speakerdeck
PRO
31
6.2k
HTML-Aware ERB: The Path to Reactive Rendering @ RubyCon 2026, Rimini, Italy
marcoroth
4
530
Test your architecture with Archunit
thirion
2
2.4k
The Impact of AI in SEO - AI Overviews June 2024 Edition
aleyda
6
1.2k
Pawsitive SEO: Lessons from My Dog (and Many Mistakes) on Thriving as a Consultant in the Age of AI
davidcarrasco
0
230
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
287
14k
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
rmw
35
3.8k
Measuring Dark Social's Impact On Conversion and Attribution
stephenakadiri
2
260
Game over? The fight for quality and originality in the time of robots
wayneb77
1
260
The Power of CSS Pseudo Elements
geoffreycrofte
82
6.5k
State of Search Keynote: SEO is Dead Long Live SEO
ryanjones
0
260
KATA
mclloyd
PRO
35
15k
Transcript
Keita Watanabe 2022/11/24 Kubernetes Meetup Tokyo # 54 LT KubeflowͰ͡ΊΔ
ML on Kubernetes #3 Kube fl ow Pipelines: Part 1
Keita Watanabe Machine Learning Solutions Architect ▶ AWS JapanͰSelf-managedͳMachine Learning
ͷҊ݅Λ୲͍ͯ͠ΔSolutions Architect ▶ લ৬ͰDatascientist/ML Researcherͱͯ͠ ECαΠτ্ͷը૾ݕࡧػೳͷ։ൃʹैࣄ ▶ Twitter: keitaw09 ▶ Linkedin: keitawatanabe αϯσΟΤΰͰग़ձͬͨτϦ झຯ
ͪ͜ΒͷLTγϦʔζͷͰ͢ KubeflowͰ͡ΊΔML on Kubernetes • #1 Kube fl owͷ֓ཁͱηοτΞοϓ •
#2 Kube fl ow Notebooks • #3 Kube fl ow Pipelines (ࠓճʂ)
ࠓճͷςʔϚɿ Kubeflow Pipelines ʢͷಋೖʣ
Kubeflow Pipelines ʢKFPʣͱ KFPͷߏཁૉ • Pipelineͷ֬ೝɾ࣮ߦʹ༻͍ΔUI • Pipeline࣮ߦΛεέδϡʔϦϯά͢ΔEngine • ύΠϓϥΠϯͷఆٛɺϏϧυɺσϓϩΠ͕Մೳͳ
Python SDK • SDKͰͷύΠϓϥΠϯ։ൃɺ͓Αͼ࣮ߦʹؔ͢Δ Notebook αϙʔτ Componentͱͯ͠ɺ֤εςοϓΛ࣮͠ɺͦΕΒΛPipelineͱͯ͠Ұ࿈ͷॲཧʹ· ͱΊΔ͜ͱͰMLύΠϓϥΠϯΛߏங͢Δπʔϧ UI: pipeline graph view Ұ෦ൈਮ
KFP SDKͷόʔδϣϯʹ͍ͭͯ • 2022/11/24ݱࡏɺKFP SDKʹҎԼͷ̎ͭͷVersion͕ଘࡏ͢Δ v1ʢStable Statusʣ/ v2ʢBeta Statusʣ •
KFP SDK v2ɺݱࡏPre-release stageͷKFP v2ͷίΞػೳΛ KFP v1্Ͱಈ࡞Մೳͱͨ͠ͷ • ͜͜ͰKFP SDK v2Λ༻͍Δ • KFP SDK v2ͷར༻ʹKFP 1.6Ҏ߱ ͕ඞཁʢࠓճ1.8.4Λ༻ʣ https://www.kube fl ow.org/docs/components/pipelines/v1/sdk-v2/v2-compatibility/
SDKΛ༻͍ͨγϯϓϧͳPipelineͷ࣮ྫ (1) ίϯϙʔωϯτͷఆٛ ͜͜Ͱ͠ࢉΛ”python:3.9”Πϝʔδ্Ͱ ࣮ߦ͢ΔίϯϙʔωϯτΛఆٛ͢Δ (2) ύΠϓϥΠϯͷఆٛ ύΠϓϥΠϯͰ༻͍Δίϯϙʔωϯτ܈ͱ ͦͷؔΛఆٛ͢Δ (3)
ύΠϓϥΠϯͷ࣮ߦ ύΠϓϥΠϯʹೖྗΛ༩͑ɺ࣮ߦ͢Δ (1) (2) (3)
͜ͷίʔυΛ࣮ߦͯ͠ΈΔͱ… • “/var/run/secrets/kube fl ow/pipelines/token” ͕ແ͍ͱౖΒΕɺ࣮ߦʹࣦഊ͢Δ • ࣮ϚϧνϢʔβʔڥͰSDKΛ࣮ߦ͢Δࡍ ʹɺServiceAccount token͕
”KF_PIPELINES_SA_TOKEN_PATH”ʹଘࡏ͢ Δඞཁ͕͋Δ ʢ͜ͷڥมͷσϑΥϧτͷύε͕ “/var/run/secrets/kube fl ow/pipelines/token”ʣ • σϑΥϧτͷNotebookڥʹ͜ͷτʔΫϯ ͕ઃఆ͞Ε͍ͯͳ͍ˠ PodDefaultΛ༻͍Δ https://www.kube fl ow.org/docs/components/pipelines/v1/sdk/connect-api/#full-kube fl ow-subfrom-inside-clustersub
PodDefault • KubernetesʹPodʹରͯ͠ɺ ڥมVolumeͷใͳͲ Λ͋ͱ͔ΒՃ͢ΔPodPreset ͱ͍͏Ϧιʔεʢݱࡏ Alpha stageʣ͕ଘࡏ͢Δ • PodDefaultPodPreset૬ͷ
ػೳΛKube fl owଆͰ ࣮ͨ͠ͷ https://github.com/kube fl ow/kube fl ow/blob/master/components/admission-webhook/README.md
PodDefaultͷ͍ํ ৽نNotebook࡞࣌ͷ ”Con fi gurations”ΑΓ࡞ͨ͠ PodDefaultΛબ͢Δ͜ͱ͕Ͱ͖Δ
τʔΫϯ͕Ϛϯτ͞Ε͍ͯΔ͜ͱ ͕֬ೝͰ͖Δ ύΠϓϥΠϯͷ࣮ߦʹޭ͠ɺ ExperimentͱRunͷৄࡉͷϦϯΫ ͕දࣔ͞Εͨ
Run details
࣍ճ… ࣮ફతͳPipelinesߏஙͷΛ͠·͢
ࢀߟࢿྉ • https://techblog.zozo.com/entry/aip-pipelines-impl#Kube fl ow-Pipelines • https://www.kube fl ow.org/docs/components/pipelines/v1/sdk/connect-api/ #full-kube
fl ow-subfrom-inside-clustersub • https://www.kube fl ow.org/docs/components/notebooks/overview • https://github.com/aws-samples/aws-do-kube fl ow • https://www.kube fl ow.org/docs/components/pipelines/v1/sdk-v2/v2- compatibility/ • https://www.kube fl ow.org/docs/components/pipelines/v1/sdk/connect-api/ #full-kube fl ow-subfrom-inside-clustersub