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
ScaleShift-jp-2019-summer
Search
ryo nakamaru
July 17, 2019
Research
1
200
ScaleShift-jp-2019-summer
ScaleShift の機能概要、Kubernetes クラスタとの連携について
ryo nakamaru
July 17, 2019
Tweet
Share
More Decks by ryo nakamaru
See All by ryo nakamaru
AWSで楽をするサービスメッシュ入門/appmesh-trial
pottava
1
1.4k
reinforce-2019-recap-lt
pottava
2
4.1k
Firecracker とは何か/what is Firecracker
pottava
13
5.3k
ハイブリッド並列 on Kubernetes/hybrid-parallel-program-on-kubernetes
pottava
1
410
AWS Fargate + Code 兄弟で始める継続的デリバリー / Continuous Delivery with AWS Fargate and Code brothers
pottava
12
3.1k
Singularity と NVIDIA GPU Cloud で作る ハイブリッド機械学習環境の構築 / Building a hybrid environment for Machine Learning with Singularity and NGC
pottava
3
1.3k
明日から始めるちょい足し λ / get-started-with-aws-lambda
pottava
4
2.4k
NGC と Singularity によるハイブリッド機械学習環境 / A hybrid environment for Machine Learning with NGC and Singularity
pottava
0
470
NGC × Singularity での機械学習環境/MachineLearning environment with NGC and Singularity
pottava
2
730
Other Decks in Research
See All in Research
コミュニティドライブプロジェクト
smartfukushilab1
0
180
論文紹介: COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon (SIGMOD 2024)
ynakano
1
380
Data-centric AI勉強会 「ロボットにおけるData-centric AI」
haraduka
0
440
Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications
satai
2
150
Whoisの闇
hirachan
3
280
PetiteSRE_GenAIEraにおけるインフラのあり方観察
ichichi
0
270
Segment Any Change
satai
2
210
The Economics of Platforms 輪読会 第1章
tomonatu8
0
140
Elix, CBI2024, スポンサードセッション, Molecular Glue研究の展望:近年の進展とAI活用の可能性
elix
0
130
Weekly AI Agents News! 10月号 論文のアーカイブ
masatoto
1
500
A Segment Anything Model based weakly supervised learning method for crop mapping using Sentinel-2 time series images
satai
2
130
Building Height Estimation Using Shadow Length in Satellite Imagery
satai
2
190
Featured
See All Featured
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
193
16k
Agile that works and the tools we love
rasmusluckow
328
21k
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
114
50k
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
30
4.6k
The MySQL Ecosystem @ GitHub 2015
samlambert
250
12k
VelocityConf: Rendering Performance Case Studies
addyosmani
328
24k
Save Time (by Creating Custom Rails Generators)
garrettdimon
PRO
29
1k
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
28
9.3k
Building Flexible Design Systems
yeseniaperezcruz
328
38k
Visualization
eitanlees
146
15k
YesSQL, Process and Tooling at Scale
rocio
172
14k
Designing on Purpose - Digital PM Summit 2013
jponch
117
7.1k
Transcript
ScaleShift ΦϯϓϨϛε / Ϋϥυ Ͱ࣮ݱ͢Δػցֶशڥ June, 2019
!2 ScaleShift Docker ϕʔεɺΦʔϓϯιʔεͷ Web ΫϥΠΞϯτ ΞϓϦέʔγϣϯͰ͢ • ϞσϧߏஙϑΣʔζ -
NGC / ࣗࣾϦϙδτϦ͔Βػցֶश Docker ΠϝʔδΛϫϯΫϦοΫͰऔಘ - ͦͷҙͷ Docker ΠϝʔδΛ Jupyter notebook ίϯςφͱͯ͠ىಈ • ϞσϧֶशϑΣʔζ - ߏஙʹར༻ͨ͠ϥΠϒϥϦ͝ͱ Docker ΠϝʔδʹݻΊϦϙδτϦอଘ - ΫϦοΫ͚ͩͰ Kubernetes Ϋϥελ / Rescale େنܭࢉλεΫΛૹ৴
جຊతͳಈ͖ !3 How does it work?
!4 ScaleShift ͷىಈ ϩʔΧϧʹ Web αʔόʔ্ཱ͕͕ͪΓ·͢
!5 ػցֶशιϑτΣΞͷΠϯετʔϧ NGC / ϓϥΠϕʔτϨδετϦ ͔ΒϫϯΫϦοΫͰμϯϩʔυ
!6 Jupyter notebook ͰͷϞσϧߏங Jupyter Ͱϥοϓͨ͠ίϯςφ͕͔ΜͨΜʹىಈ ϙʔτ࡞ۀྖҬ ίϯςφ͝ͱʹ ͞Εͨ ΫϦʔϯͳڥ
ɹ.
!7 େنܭࢉͷͨΊͷϥοϐϯά ґଘϥΠϒϥϦιʔείʔυ܈Λ·ͱΊɺͻͱͭͷΠϝʔδʹݻΊ·͢
!8 ࣾΫϥελ / ΫϥυܭࢉλεΫೖ ೖઌʹԠͯ͡ඞཁͳ API ͕࣮ߦ͞Ε·͢ ར༻ϦιʔεྔΛܾΊ ΫϥελλεΫೖ
Kubernetes ࿈ܞ !9 Integration with a kubernetes cluster
!10 ػցֶश ͱ Kubernetes Web ք۾Λத৺ʹίϯςφΦʔέετϨʔγϣϯͷσϑΝΫτʹͳͬͨ k8sɻ ػցֶशͷจ຺Ͱίϯςφར༻͕ΜʹͳΓɺԠ༻ࣄྫ͕૿͍͑ͯ·͢ɻ - NVIDIA
͕ެࣜʹαϙʔτΛද໌ [ GTC 2018 Keynote, March 27 ] - Mercari ML Ops Night Vol.1 [ גࣜձࣾ ϝϧΧϦ / May 23, 2018 ] ɹhttps://mercari.connpass.com/event/85931/presentation/ - Jupyter ͚ͩͰػցֶशΛ࣮αʔϏεల։Ͱ͖Δج൫ [ גࣜձࣾϦΫϧʔτϥΠϑελΠϧ ] ɹhttps://engineer.recruit-lifestyle.co.jp/techblog/2018-10-04-ml-platform/ - KubernetesʹΑΔػցֶशج൫ͷઓ [ גࣜձࣾ Preferred Networks / Dec 4, 2018 ] ɹhttps://www.slideshare.net/pfi/kubernetes-125013757
!11 ScaleShift + Kubernetes ߏྫ ετϨʔδ ཧϊʔυ ܭࢉϊʔυ ࣾωοτϫʔΫ NGC
DockerHub ϓϥΠϕʔτ ϨδετϦ Kubernetes ݚڀ / ։ൃνʔϜ ScaleShift ೖΓ ϩʔΧϧ
!12 1. ػցֶशιϑτΣΞͷબ ετϨʔδ ཧϊʔυ ܭࢉϊʔυ ࣾωοτϫʔΫ NGC DockerHub ϓϥΠϕʔτ
ϨδετϦ Kubernetes ݚڀ / ։ൃνʔϜ GUI ͔ΒબͿ͚ͩͰ μϯϩʔυ͕࢝·Γ·͢
!13 2. Ϟσϧߏங ετϨʔδ ཧϊʔυ ܭࢉϊʔυ ࣾωοτϫʔΫ NGC DockerHub ϓϥΠϕʔτ
ϨδετϦ Kubernetes ݚڀ / ։ൃνʔϜ ScaleShift ͕ ϊʔτϒοΫΛىಈ͠·͢
!14 3. ࣮ߦڥɾೖྗσʔλͷసૹ ετϨʔδ ཧϊʔυ ܭࢉϊʔυ ࣾωοτϫʔΫ NGC DockerHub ϓϥΠϕʔτ
ϨδετϦ Kubernetes ScaleShift ͕෦తʹ ඞཁͳసૹΛߦ͍·͢ ݚڀ / ։ൃνʔϜ
!15 4. େنܭࢉͷ࣮ߦΛࢦࣔ ετϨʔδ ཧϊʔυ ܭࢉϊʔυ ࣾωοτϫʔΫ NGC DockerHub ϓϥΠϕʔτ
ϨδετϦ Kubernetes ݚڀ / ։ൃνʔϜ Kubernetes ͷ Job ͱͯ͠ ܭࢉ݅Λૹ৴͠·͢
!16 5. େنܭࢉͷ࣮ߦ ετϨʔδ ཧϊʔυ ܭࢉϊʔυ ࣾωοτϫʔΫ NGC DockerHub Kubernetes
ϓϥΠϕʔτ ϨδετϦ ݚڀ / ։ൃνʔϜ
!17 6. ܭࢉ݁Ռͷ֬ೝ ετϨʔδ ཧϊʔυ ܭࢉϊʔυ ࣾωοτϫʔΫ NGC DockerHub ϓϥΠϕʔτ
ϨδετϦ Kubernetes ݚڀ / ։ൃνʔϜ
!18 Kubernetes ઃఆ / λεΫ࣮ߦը໘
ScaleShift ͷઃఆ !19 Configurations
!20 ֎෦࿈ܞ ࿈ܞػೳ ઃఆ NVIDIA GPU CLOUD • NVIDIA ࣾͷཧ͢Δػցֶश
Docker Πϝʔδͷ Ұཡ / ৄࡉใऔಘɺΠϝʔδͷμϯϩʔυ ɹAPI Ωʔ & Ϣʔβઃఆ ϓϥΠϕʔτϨδετϦ • ࣗࣾͰཧ͢Δػցֶश Docker Πϝʔδͷ ҰཡใऔಘɺΠϝʔδͷμϯϩʔυ ɹଓઌ & Ϣʔβઃఆ AWS • ػցֶश Docker Πϝʔδͷμϯϩʔυ • ϩʔΧϧϑΝΠϧγεςϜͱ S3 ؒͷσʔλ࿈ܞ ʢ࣮༧ఆʣ Kubernetes • ࣾΫϥελ / ΫϥυͰͷେنܭࢉ࣮ߦ ɹkubecfg Rescale • Rescale ϓϥοτϑΥʔϜͰͷେنܭࢉ࣮ߦ ɹҬࢦఆ & API Ωʔ
!21 ىಈΦϓγϣϯʢൈਮʣ ઃఆ֓ཁ ॳظ SS_JUPYTER_MINIMUM_PORT ίϯςφͷଓϙʔτಈతׂ։࢝൪߸ ɾ30000 SS_LOG_LEVEL ΞϓϦέʔγϣϯͷϩάग़ྗϨϕϧ ɹwarn
SS_WORKSPACE_HOST_DIR ϗετଆͷ࡞ۀσʔλอଘྖҬ ɹͳ͠ʢࢦఆඞਢʣ SS_NGC_REGISTRY_ENDPOINT NGC ଓઌ ɹhttps://registry.nvidia.com SS_NGC_REGISTRY_USER_NAME NGC Ϣʔβʔ໊ ɹ$oauthtoken SS_RESCALE_SINGULARITY_VERSION Rescale Ͱͷ Singularity ϥϯλΠϜόʔδϣϯ ɹ3.2.0 SS_RESCALE_JOB_WALLTIME Rescale ͰͷλεΫ࣮ߦ࠷େ࣌ؒ ɾ3600 docker-compose.yml ʹઃఆΛهࡌɺىಈͰ͖·͢