Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
Kubeflowではじめる ML on Kubernetes #2 Kubeflow Not...
Search
Sponsored
·
SiteGround - Reliable hosting with speed, security, and support you can count on.
→
Keita Watanabe
October 06, 2022
Programming
900
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Kubeflowではじめる ML on Kubernetes #2 Kubeflow Notebooks
https://k8sjp.connpass.com/event/259350/
発表資料
Keita Watanabe
October 06, 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
280
Scalable Infrastructure for Large-Scale AI Training with AWS Sagemaker Hyperpod @ Singapore AI Hour
keitaw
0
160
[AWS Summit Japan 2025] Optimizing Foundation Model Development with Amazon SageMaker HyperPod: Insights from Training the Amazon Nova Model
keitaw
0
97
Building foundation models on AWS
keitaw
1
670
[re:Invent2024 Chalktalk] Cost-effectively deploy PyTorch LLMs on AWS Inferentia using Amazon EKS
keitaw
0
180
AWS Summit New York 2024: CMP 301 Demystifying the ML software stack on Amazon EC2 accelerated instances
keitaw
0
620
re:Invent 2023 CMP319 Deploy LLMs with AWS Inferentia & Ray to optimize performance and cost
keitaw
0
100
re:Invent 2023: CMP332 De-mystifying ML software stack on Amazon EC2 accelerated instances
keitaw
1
290
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
650
Other Decks in Programming
See All in Programming
Modernizing iOS Apps
seyfoyun
0
140
作れる、でも消せるか?──安全に「枯らして消す」機能削除術 / Drain, Then Delete
chobishiba
3
1.3k
3回つくってわかった、 定期実行ジョブ基盤の本質情報
takai
4
3.5k
FactoryBotをやめればRSpecは速くなるのか?
yuta_onishi_97
0
1.2k
ActionController meets Protocol Buffers
sorah
1
760
Vapor Mode でアクセシビリティは 壊れないか検証した話
fuqda
1
290
クラウドエージェントは、 何がそんなに便利なのか / what makes cloud agents so useful
rkaga
4
660
Seven New Principles of Software Engineering
yegor256
0
400
Optunaを作ったときにやりたかったこと、その後 (2026/10/16, Optuna Meetup #3)
iwiwi
4
1.4k
AI-Powered Domain-Driven Design
ziobrando
0
370
LLM 101
dalinaum
0
420
[JA] Domain Modeling with Vanilla Rails: 「操作」から再考するRailsの設計論
yasaichi
4
1.5k
Featured
See All Featured
What the history of the web can teach us about the future of AI
inesmontani
PRO
2
770
Navigating the moral maze — ethical principles for Al-driven product design
skipperchong
2
660
Chasing Engaging Ingredients in Design
codingconduct
0
380
SEO in 2025: How to Prepare for the Future of Search
ipullrank
3
3.9k
The Cost Of JavaScript in 2023
addyosmani
55
10k
Testing 201, or: Great Expectations
jmmastey
46
8.4k
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
31
10k
Fireside Chat
paigeccino
43
4.1k
Mozcon NYC 2025: Stop Losing SEO Traffic
samtorres
1
590
AI: The stuff that nobody shows you
jnunemaker
PRO
10
1.2k
A designer walks into a library…
pauljervisheath
211
25k
A better future with KSS
kneath
240
18k
Transcript
Keita Watanabe Kubernetes Meetup Tokyo # 53 LT KubeflowͰ͡ΊΔ ML
on Kubernetes #2 Kube fl ow Notebooks
Keita Watanabe Machine Learning Solutions Architect ▶ AWS JapanͰSelf-managedͳMachine Learning
ͷҊ݅Λ୲͍ͯ͠ΔSolutions Architect ▶ લ৬ͰDatascientist/ML Researcherͱͯ͠ ECαΠτ্ͷը૾ݕࡧػೳͷ։ൃʹैࣄ ▶ Twitter: keitaw09 ▶ Linkedin: keitawatanabe αϯσΟΤΰͰग़ձͬͨτϦ झຯ
Kubeflow overview Central Dashboard Data Ingestion Data Analysis Data Transform
Data Validation Training AutoML Model eval. and valid. Serving Logging KServe Seldon Kube fl ow Pipelines Kube fl ow Notebooks Katib Training Operators MDLCͷ֤εςοϓ ରԠ͢ΔTool લճͷ༰: Kube fl owͷηοτΞοϓ Slide: https://speakerdeck.com/keitaw/kube fl owdehazimeruml-on-kubernetes-number-1-kube fl owfalsegai-yao-tosetutoatupu
ຊͷ༰: Kubeflow Notebooks
Kubeflow Notebooksͱ • Webϕʔεͷ։ൃڥΛKubernetes্Ͱఏڙ͢Δπʔϧ • Կ͕خ͍͔͠ • ཧऀɿඞཁͳύοέʔδ͕Πϯετʔϧ͞Εͨ։ൃऀ༻ͷΠϝʔδΛ खܰʹఏڙͰ͖Δ +
RBACʹΑΔnotebookͷΞΫηε੍ޚ • ϢʔβʔɿϩʔΧϧͷܭࢉࢿݯʹཔΔ͜ͱͳ͘ɺ Ϋϥελ্ͰNotebookڥΛར༻Ͱ͖Δ JupyterLab, RStudio, Visual Studio Code (code-server)Λ ωΠςΟϒͰαϙʔτ͍ͯ͠Δ https://www.kube fl ow.org/docs/components/notebooks/overview/
σϑΥϧτͰαϙʔτ͞Ε͍ͯΔΠϝʔδ https://github.com/kube fl ow/kube fl ow/tree/master/components/example-notebook-servers#custom-images • Base: ϕʔεΠϝʔδʢUbuntuʣ •
PyTorch/TensorFlow Full: PyTorch/TensorFlow + Pandas ScipyɺXGBoostͷΑ͘ΘΕΔ ϥΠϒϥϦ • Jupyter imageʹGPU൛͋Δ • Custom image: BaseΛجʹ࡞ ʢ࡞ํ๏ԼهͷURLΛࢀরʣ https://www.kube fl ow.org/docs/components/notebooks/container-images/
Notebookͷ৽ن࡞
Notebookͷ৽ن࡞
Notebookͷ৽ن࡞ ❶ ❷ ❸ ❹
Kubeflow NotebooksͰJupyterLab σʔλͷղੳϞσϧͷ։ൃɺ͞ΒʹKube fl ow PipelinesʢৄࡉࠓޙͷLTͰʣ Λ༻͍ͨύΠϓϥΠϯͷߏஙͳͲ͕ߦ͑Δ
Kubeflow NotebooksͰVSCode
࣍ճ… Kubeflow Pipelines
ࢀߟࢿྉ • https://www.kube fl ow.org/docs/components/notebooks/overview/ • https://github.com/kube fl ow/kube fl
ow/tree/master/components/example- notebook-servers#custom-images • https://github.com/kube fl ow/pipelines/blob/sdk/release-1.8/samples/core/ lightweight_component/lightweight_component.ipynb • https://github.com/aws-samples/aws-do-kube fl ow