$30 off During Our Annual Pro Sale. View Details »
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
220
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
1.6k
reinforce-2019-recap-lt
pottava
2
4.1k
Firecracker とは何か/what is Firecracker
pottava
12
5.5k
ハイブリッド並列 on Kubernetes/hybrid-parallel-program-on-kubernetes
pottava
1
440
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
3.3k
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
1.4k
明日から始めるちょい足し λ / get-started-with-aws-lambda
pottava
4
2.5k
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
510
NGC × Singularity での機械学習環境/MachineLearning environment with NGC and Singularity
pottava
2
840
Other Decks in Research
See All in Research
Aurora Serverless からAurora Serverless v2への課題と知見を論文から読み解く/Understanding the challenges and insights of moving from Aurora Serverless to Aurora Serverless v2 from a paper
bootjp
5
930
情報技術の社会実装に向けた応用と課題:ニュースメディアの事例から / appmech-jsce 2025
upura
0
280
財務諸表監査のための逐次検定
masakat0
0
210
EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues
satai
3
470
大規模言語モデルにおけるData-Centric AIと合成データの活用 / Data-Centric AI and Synthetic Data in Large Language Models
tsurubee
1
460
第二言語習得研究における 明示的・暗示的知識の再検討:この分類は何に役に立つか,何に役に立たないか
tam07pb915
0
410
地域丸ごとデイサービス「Go トレ」の紹介
smartfukushilab1
0
700
スキマバイトサービスにおける現場起点でのデザインアプローチ
yoshioshingyouji
0
270
病院向け生成AIプロダクト開発の実践と課題
hagino3000
0
480
製造業主導型経済からサービス経済化における中間層形成メカニズムのパラダイムシフト
yamotty
0
370
Tiaccoon: Unified Access Control with Multiple Transports in Container Networks
hiroyaonoe
0
210
ドメイン知識がない領域での自然言語処理の始め方
hargon24
1
220
Featured
See All Featured
Why Mistakes Are the Best Teachers: Turning Failure into a Pathway for Growth
auna
0
28
Ten Tips & Tricks for a 🌱 transition
stuffmc
0
34
Jamie Indigo - Trashchat’s Guide to Black Boxes: Technical SEO Tactics for LLMs
techseoconnect
PRO
0
31
The Curse of the Amulet
leimatthew05
0
4.8k
Efficient Content Optimization with Google Search Console & Apps Script
katarinadahlin
PRO
0
250
BBQ
matthewcrist
89
9.9k
How to Get Subject Matter Experts Bought In and Actively Contributing to SEO & PR Initiatives.
livdayseo
0
29
Deep Space Network (abreviated)
tonyrice
0
21
The Invisible Side of Design
smashingmag
302
51k
Designing Experiences People Love
moore
143
24k
Why You Should Never Use an ORM
jnunemaker
PRO
61
9.7k
ReactJS: Keep Simple. Everything can be a component!
pedronauck
666
130k
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·͢