$30 off During Our Annual Pro Sale. View Details »
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
0
1.1k
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
Tweet
Share
More Decks by Keita Watanabe
See All by Keita Watanabe
Scalable Infrastructure for Large-Scale AI Training with AWS Sagemaker Hyperpod @ Singapore AI Hour
keitaw
0
49
[AWS Summit Japan 2025] Optimizing Foundation Model Development with Amazon SageMaker HyperPod: Insights from Training the Amazon Nova Model
keitaw
0
39
Building foundation models on AWS
keitaw
0
430
[re:Invent2024 Chalktalk] Cost-effectively deploy PyTorch LLMs on AWS Inferentia using Amazon EKS
keitaw
0
110
AWS Summit New York 2024: CMP 301 Demystifying the ML software stack on Amazon EC2 accelerated instances
keitaw
0
450
re:Invent 2023 CMP319 Deploy LLMs with AWS Inferentia & Ray to optimize performance and cost
keitaw
0
50
re:Invent 2023: CMP332 De-mystifying ML software stack on Amazon EC2 accelerated instances
keitaw
1
220
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
560
Amazon EC2 シリコン革命 / Amazon EC2 Silicon Innovation
keitaw
0
200
Other Decks in Technology
See All in Technology
フィッシュボウルのやり方 / How to do a fishbowl
pauli
2
370
New Relic 1 年生の振り返りと Cloud Cost Intelligence について #NRUG
play_inc
0
220
ESXi のAIOps だ!2025冬
unnowataru
0
330
オープンソースKeycloakのMCP認可サーバの仕様の対応状況 / 20251219 OpenID BizDay #18 LT Keycloak
oidfj
0
160
子育てで想像してなかった「見えないダメージ」 / Unforeseen "hidden burdens" of raising children.
pauli
2
320
モダンデータスタックの理想と現実の間で~1.3億人Vポイントデータ基盤の現在地とこれから~
taromatsui_cccmkhd
2
260
Bedrock AgentCore Memoryの新機能 (Episode) を試してみた / try Bedrock AgentCore Memory Episodic functionarity
hoshi7_n
2
1.7k
ソフトウェアエンジニアとAIエンジニアの役割分担についてのある事例
kworkdev
PRO
0
210
2025-12-18_AI駆動開発推進プロジェクト運営について / AIDD-Promotion project management
yayoi_dd
0
150
20251222_サンフランシスコサバイバル術
ponponmikankan
2
140
会社紹介資料 / Sansan Company Profile
sansan33
PRO
11
390k
100以上の新規コネクタ提供を可能にしたアーキテクチャ
ooyukioo
0
240
Featured
See All Featured
Templates, Plugins, & Blocks: Oh My! Creating the theme that thinks of everything
marktimemedia
31
2.6k
The Impact of AI in SEO - AI Overviews June 2024 Edition
aleyda
5
680
Raft: Consensus for Rubyists
vanstee
141
7.3k
Design in an AI World
tapps
0
98
Crafting Experiences
bethany
0
22
Data-driven link building: lessons from a $708K investment (BrightonSEO talk)
szymonslowik
1
850
Imperfection Machines: The Place of Print at Facebook
scottboms
269
13k
Build The Right Thing And Hit Your Dates
maggiecrowley
38
3k
Ruling the World: When Life Gets Gamed
codingconduct
0
100
Between Models and Reality
mayunak
0
150
Exploring anti-patterns in Rails
aemeredith
2
200
Sam Torres - BigQuery for SEOs
techseoconnect
PRO
0
140
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