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
Build Image Classification service with Amazon ...
Search
Yuichiro Someya
November 22, 2016
Programming
2.9k
4
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Build Image Classification service with Amazon ECS and GPU instances
Yuichiro Someya
November 22, 2016
More Decks by Yuichiro Someya
See All by Yuichiro Someya
にんげんがさき 基盤はあと / Developers over ML platform
ayemos
0
15k
機械学習をスモールスタートさせる方法 / small machine learning
ayemos
3
2.1k
アットホームな分析基盤の作り方 / Homemade Machine Learning Toolkits
ayemos
1
1.1k
サービス開発、機械学習、クラウド / the trinity of machine learning
ayemos
0
3.7k
成長を止めない機械学習のやり方 / Don't stop 'til you get enough (data).
ayemos
15
5.4k
AWS で加速する機械学習 / Accelerate Machine Learning with AWS
ayemos
1
370
クックパッドの機械学習基盤 2018 / Machine Learning Platform at Cookpad ~ 2018 ~
ayemos
15
22k
PyTorchとCaffe2とONNXと深層学習モデルのデプロイについて
ayemos
1
3.1k
クックパッドにおけるAWS GPUインスタンスの利用事例 / Powering by AWS GPU Instances in Cookpad Inc
ayemos
0
480
Other Decks in Programming
See All in Programming
地方こそサーバーレス — 10年続けた、顔が見えるチームで確かな基盤を / Serverless Matters Most in Regional Areas — 10 Years of Building Reliable Foundations with Close-Knit Teams
seike460
PRO
1
320
Distance field of Julia set
kinakomoti321
0
310
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
5
810
まずはコードより業務と向き合う:テーブル解体のためにPdMを呼んだ話
sakawe_ee
0
190
AI駆動開発4年目の現在地(『あなたはFDEになるべきか?』イベント資料)
kumaiu
0
490
flutter_test のその先へ — Flutter アプリの LLM 機能に「評価」という品質保証を
kosukesaigusa
0
200
TS 7.0 で baseUrl が使えなくなった今、パスエイリアスをどうするか
bicstone
2
570
作れるエンジニアから、価値を届けるエンジニアへ
ryunakayama
1
240
Getting Started with Vibe Coding
miccheng
0
190
Будущее локальных LLM – Алексей Голобурдин, PythoNN
sobolevn
0
120
SODA - FACT BOOK(EN)
sodainc
1
220
Claude Code ハーネスDeep Dive – 君はどこまで制御する? -
takateeen_knj
6
4k
Featured
See All Featured
The Curse of the Amulet
leimatthew05
3
17k
Hiding What from Whom? A Critical Review of the History of Programming languages for Music
tomoyanonymous
3
1.4k
Stop Working from a Prison Cell
hatefulcrawdad
274
21k
Future Trends and Review - Lecture 12 - Web Technologies (1019888BNR)
signer
PRO
0
3.8k
Keith and Marios Guide to Fast Websites
keithpitt
413
23k
HDC tutorial
michielstock
2
1k
Building Applications with DynamoDB
mza
96
7.3k
ReactJS: Keep Simple. Everything can be a component!
pedronauck
666
130k
Taking LLMs out of the black box: A practical guide to human-in-the-loop distillation
inesmontani
PRO
3
2.5k
Typedesign – Prime Four
hannesfritz
42
3.2k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.7k
技術選定の審美眼(2025年版) / Understanding the Spiral of Technologies 2025 edition
twada
PRO
121
130k
Transcript
Build Image Classification service with AWS ECS and GPU instances
Yuichiro Someya @ Cookpad
• છ୩ ༔Ұ [Yuichiro Someya] • ౦େେֶӃ ܭࢉֶઐ߈ म࢜ •
'16 ৽ଔ @ ΫοΫύου • github.com/ayemos • twitter.com/kumasan_com echo `whoami`
• ྉཧࣸਅͷࣗಈऩूαʔϏεΛ • CaffeNet[1]Λݩʹ࡞ͬͨྉཧը૾ೝࣝϞσϧͱ • Amazon SQS/S3 Ͱߏங͞Εͨσʔλϑϩʔͱ • Amazon
ECS (GPU instance) Λར༻ͯ͠ӡ༻͍ͯ͠Δ <>IUUQTHJUIVCDPN#7-$DB⒎F Agenda
• ྉཧࣸਅͷࣗಈऩूαʔϏεΛ • CaffeNet[1]Λݩʹ࡞ͬͨྉཧը૾ೝࣝϞσϧͱ • Amazon SQS/S3 Ͱߏங͞Εͨσʔλϑϩʔͱ • Amazon
ECS (GPU instance) Λར༻ͯ͠ӡ༻͍ͯ͠Δ <>IUUQTHJUIVCDPN#7-$DB⒎F Agenda
ΫοΫύου • Ϩγϐɿ 250ສҎ্ • ݄࣍ؒར༻ऀɿ 6,000ສਓҎ্
• εϚϗͷࣸਅ͔Βྉཧ͚ͩΛࣗಈతʹऩू • Ұ෦ͷϢʔβʔ͚ʹݶఆతʹެ։த ྉཧ͖Ζ͘
• CaffeNetΛ ྉཧʗඇྉཧ ఆ͚ʹFine Tuningͨ͠Ϟσϧ • Caffe[1]Ͱֶश͞ΕͨϞσϧΛChainerͷCaffe emulatorͰಡΉ ref: http://docs.chainer.org/en/stable/reference/caffe.html
• ྨΧςΰϦΛ ྉཧʗඇྉཧ ʹมߋ͠ɺΫοΫύου্ͷ ྉཧࣸਅΛֶͬͯश <>IUUQDB⒎FCFSLFMFZWJTJPOPSH CookpadNet
• CookpadNetͲ͜ͰఆΛߦ͍ɺͦͷ݁ՌͲ͜ʹͲ͏͑Δ ͷ͔ʁ • ఆϞσϧΛΫϥΠΞϯτʹஔ͍ͯఆ • ϞσϧαΠζ͕େ͖͍(100MB~)ͷͰɺݱ࣮తͰͳ͍ • (αΠζͷখ͍͞ϞσϧΛݚڀத) •
ఆΛߦ͏ίϯϙʔωϯτΛ֎෦ʹஔ͘ • HTTP Serverʁ σʔλϑϩʔʗϫʔΫϑϩʔ
$MJFOU "OESPJE J04 "1*4FSWFS SVCZ $MBTTJpDBUJPO4FSWFS QZUIPO DIBJOFS
$MJFOU "OESPJE J04 "1*4FSWFS SVCZ 1045DMBTTJGZ\QIPUPCJOBSZ^ $MBTTJpDBUJPO4FSWFS QZUIPO DIBJOFS
$MJFOU "OESPJE J04 "1*4FSWFS SVCZ 1045DMBTTJGZ\QIPUPCJOBSZ^ $MBTTJpDBUJPO4FSWFS QZUIPO 1045DMBTTJGZ\QIPUPCJOBSZ^ DIBJOFS
$MJFOU "OESPJE J04 "1*4FSWFS SVCZ 1045DMBTTJGZ\QIPUPCJOBSZ^ $MBTTJpDBUJPO4FSWFS QZUIPO 1045DMBTTJGZ\QIPUPCJOBSZ^ SFTVMU\JT@GPPECPPM^
DIBJOFS
$MJFOU "OESPJE J04 "1*4FSWFS SVCZ 1045DMBTTJGZ\QIPUPCJOBSZ^ $MBTTJpDBUJPO4FSWFS QZUIPO 1045DMBTTJGZ\QIPUPCJOBSZ^ SFTVMU\JT@GPPECPPM^
DIBJOFS SFTVMU\JT@GPPECPPM^
$MJFOU "OESPJE J04 "1*4FSWFS SVCZ 1045DMBTTJGZ\QIPUPCJOBSZ^ $MBTTJpDBUJPO4FSWFS QZUIPO 1045DMBTTJGZ\QIPUPCJOBSZ^ SFTVMU\JT@GPPECPPM^
DIBJOFS ը૾ͷΞοϓϩʔυ ը૾ॲཧ ఆ SFTVMU\JT@GPPECPPM^
$MJFOU "OESPJE J04 "1*4FSWFS SVCZ 1045DMBTTJGZ\QIPUPCJOBSZ^ $MBTTJpDBUJPO4FSWFS QZUIPO 1045DMBTTJGZ\QIPUPCJOBSZ^ SFTVMU\JT@GPPECPPM^
DIBJOFS ը૾ͷΞοϓϩʔυ ը૾ॲཧ ఆ SFTVMU\JT@GPPECPPM^ >>> 300~500 ms <<<
• ը૾ॲཧͱϞσϧʹinferenceʹֻ͕͔ͦͦ࣌ؒ͜͜Δ (300~500ms) • APIαʔόʔ͔Βಉظతʹୟ͚ͳ͍ (Unicorn ͷ worker͕ਚ͖ͯ͠·͏) • Amazon
S3, SQSΛར༻ͨ͠ඇಉظͳఆॲཧϫʔΫϑϩʔ σʔλϑϩʔʗϫʔΫϑϩʔ
$MJFOU "OESPJE J04 "1*4FSWFS SVCZ $MBTTJpDBUJPO8PSLFS QZUIPO DIBJOFS "NB[PO4 4UPSBHF
"NB[PO424 2VFVF %#
$MJFOU "OESPJE J04 "1*4FSWFS SVCZ $MBTTJpDBUJPO8PSLFS QZUIPO DIBJOFS "NB[PO4 4UPSBHF
<6QMPBEQIPUPUPDMBTTJGZ> "NB[PO424 2VFVF %#
$MJFOU "OESPJE J04 "1*4FSWFS SVCZ $MBTTJpDBUJPO8PSLFS QZUIPO DIBJOFS "NB[PO4 4UPSBHF
<6QMPBEQIPUPUPDMBTTJGZ> "NB[PO424 2VFVF FORVFVF \LFZ@PO@TTUSJOH^ %#
$MJFOU "OESPJE J04 "1*4FSWFS SVCZ $MBTTJpDBUJPO8PSLFS QZUIPO DIBJOFS "NB[PO4 4UPSBHF
<6QMPBEQIPUPUPDMBTTJGZ> "NB[PO424 2VFVF FORVFVF \LFZ@PO@TTUSJOH^ EFRVFVF \LFZ@PO@TTUSJOH^ %#
$MJFOU "OESPJE J04 "1*4FSWFS SVCZ $MBTTJpDBUJPO8PSLFS QZUIPO DIBJOFS "NB[PO4 4UPSBHF
<6QMPBEQIPUPUPDMBTTJGZ> "NB[PO424 2VFVF FORVFVF \LFZ@PO@TTUSJOH^ EFRVFVF \LFZ@PO@TTUSJOH^ <%PXOMPBE*NBHF> %#
$MJFOU "OESPJE J04 "1*4FSWFS SVCZ $MBTTJpDBUJPO8PSLFS QZUIPO DIBJOFS "NB[PO4 4UPSBHF
<6QMPBEQIPUPUPDMBTTJGZ> "NB[PO424 2VFVF FORVFVF \LFZ@PO@TTUSJOH^ EFRVFVF \LFZ@PO@TTUSJOH^ 1045SFTVMU \LFZ@PO@TTUSJOH SFTVMU\JT@GPPE <%PXOMPBE*NBHF> %#
$MJFOU "OESPJE J04 "1*4FSWFS SVCZ $MBTTJpDBUJPO8PSLFS QZUIPO DIBJOFS "NB[PO4 4UPSBHF
<6QMPBEQIPUPUPDMBTTJGZ> 1045JT@QIPUP\LFZ@PO@TTUSJOH^ "NB[PO424 2VFVF FORVFVF \LFZ@PO@TTUSJOH^ EFRVFVF \LFZ@PO@TTUSJOH^ 1045SFTVMU \LFZ@PO@TTUSJOH SFTVMU\JT@GPPE <%PXOMPBE*NBHF> %#
$MJFOU "OESPJE J04 "1*4FSWFS SVCZ $MBTTJpDBUJPO8PSLFS QZUIPO DIBJOFS SFTVMU\JT@GPPECPPM^ "NB[PO4
4UPSBHF <6QMPBEQIPUPUPDMBTTJGZ> 1045JT@QIPUP\LFZ@PO@TTUSJOH^ "NB[PO424 2VFVF FORVFVF \LFZ@PO@TTUSJOH^ EFRVFVF \LFZ@PO@TTUSJOH^ 1045SFTVMU \LFZ@PO@TTUSJOH SFTVMU\JT@GPPE <%PXOMPBE*NBHF> %#
$MJFOU "OESPJE J04 "1*4FSWFS SVCZ $MBTTJpDBUJPO8PSLFS QZUIPO DIBJOFS SFTVMU\JT@GPPECPPM^ "NB[PO4
4UPSBHF <6QMPBEQIPUPUPDMBTTJGZ> 1045JT@QIPUP\LFZ@PO@TTUSJOH^ "NB[PO424 2VFVF FORVFVF \LFZ@PO@TTUSJOH^ EFRVFVF \LFZ@PO@TTUSJOH^ 1045SFTVMU \LFZ@PO@TTUSJOH SFTVMU\JT@GPPECPPM^^ <%PXOMPBE*NBHF> ඇಉظʹఆॲཧ
• ྉཧࣸਅͷࣗಈऩूαʔϏεΛ • CaffeNet[1]Λݩʹ࡞ͬͨྉཧը૾ೝࣝϞσϧͱ • Amazon SQS/S3 Ͱߏங͞Εͨσʔλϑϩʔͱ • Amazon
ECS Λར༻ͯ͠ӡ༻͍ͯ͠Δ <>IUUQTHJUIVCDPN#7-$DB⒎F Agenda
• ECS: Amazon EC2 Container Service • Docker ContainerΛEC2Ͱߏ͞ΕͨΫϥελʹஔ(Task) •
github.com/eagletmt/hako • ECSͷߏΛyamlϑΝΠϧͰཧ ECSͱGPUͱDockerͱ…
"8471$ # cookpadnet-worker.yml scheduler: type: ecs region: ap-northeast-1 cluster: hako-production-g2
desired_count: 1 app: image: cookpadnet-worker-gpu cpu: 128 memory: 3072 memory_reservation: 2048 env: AWS_REGION: ap-northeast-1 COOKPADNET_ENV: production ... %PDLFS3FHJTUSZ ։ൃऀ EPDLFSQVTI IBLPEFQMPZ &$4 EPDLFSQVMM 5BTL DPPLQBEOFUXPSLFS
"8471$ # cookpadnet-worker.yml scheduler: type: ecs region: ap-northeast-1 cluster: hako-production-g2
desired_count: 1 app: image: cookpadnet-worker-gpu cpu: 128 memory: 3072 memory_reservation: 2048 env: AWS_REGION: ap-northeast-1 COOKPADNET_ENV: production ... %PDLFS3FHJTUSZ ։ൃऀ EPDLFSQVTI IBLPEFQMPZ &$4 EPDLFSQVMM 5BTL DPPLQBEOFUXPSLFS DockerԽ͞ΕͨWorkerΛ hakoͰσϓϩΠ & ߏཧ
w XPSLFSͰ(16Λ༻ w ಉՁ֨ଳͷ$16Πϯελϯεͱൺͯ ഒͷੑೳࠩ w %PDLFS (16 GPU
• Driver͕ඞཁ • nvidia-driverͷkernel module • ಉ͡όʔδϣϯͷuser-level drivers • Docker
Container͔ΒGPU devicesΛૢ࡞͢Δҝ ContainerʹదͳLinux Capabilityͷઃఆ͕ඞཁ ԾԽ v.s. Χʔωϧ
ubuntu EPDLFSDPOUBJOFS ཧ OWJEJB(16 VTFSMFWFMESJWFS LFSOFMNPEVMFT
ubuntu EPDLFSDPOUBJOFS ཧ OWJEJB(16 VTFSMFWFMESJWFS LFSOFMNPEVMFT
ubuntu EPDLFSDPOUBJOFS ཧ OWJEJB(16 VTFSMFWFMESJWFS LFSOFMNPEVMFT ESJWFSךQBUIכ04ח״殯ז
NVIDIA Docker • Docker CLIͷബ͍ϥούʔ • `docker run` ࣌ʹඞཁͳvolumeΛࣗಈతʹmount ͯ͘͠ΕΔ
NVIDIA Docker • Docker CLIͷബ͍ϥούʔ • `docker run` ࣌ʹඞཁͳvolumeΛࣗಈతʹmount ͯ͘͠ΕΔ
"NB[PO&$4דכ劢؟ه٦ز
ubuntu EPDLFSDPOUBJOFS ཧ OWJEJB(16 VTFSMFWFMESJWFS LFSOFMNPEVMFT
ubuntu EPDLFSDPOUBJOFS ཧ OWJEJB(16 VTFSMFWFMESJWFS LFSOFMNPEVMFT (ಉҰόʔδϣϯ)
ubuntu EPDLFSDPOUBJOFS ཧ OWJEJB(16 VTFSMFWFMESJWFS LFSOFMNPEVMFT 㣐⡤鍑寸 (ಉҰόʔδϣϯ)
• Driver͕ඞཁ • nvidia-driverͷkernel module • ಉ͡όʔδϣϯͷuser-level drivers • Docker
Container͔ΒGPU devicesΛૢ࡞͢Δҝ ContainerʹదͳLinux Capabilityͷઃఆ͕ඞཁ ԾԽ v.s. Χʔωϧ
• GPUσόΠεಛघͳϑΝΠϧͱͯ͠ଘࡏ • ΞΫηε͢ΔͨΊʹಛఆͷCapabilityઃఆ͕ඞཁ ԾԽ v.s. Χʔωϧ EPDLFSSVOa EFWJDFEFWOWJEJBEFWOWJEJBa EFWJDFEFWOWJEJBVWNEFWOWJEJBVWNa
HQVXPSLFS
• GPUσόΠεಛघͳϑΝΠϧͱͯ͠ଘࡏ • ΞΫηε͢ΔͨΊʹಛఆͷCapabilityઃఆ͕ඞཁ ԾԽ v.s. Χʔωϧ EPDLFSSVOa EFWJDFEFWOWJEJBEFWOWJEJBa EFWJDFEFWOWJEJBVWNEFWOWJEJBVWNa
HQVXPSLFS &$4ͷ5BTLఆٛʹ͓͍ͯEFWJDFΦϓγϣϯະαϙʔτ
• GPUσόΠεಛघͳϑΝΠϧͱͯ͠ଘࡏ • ΞΫηε͢ΔͨΊʹಛఆͷCapabilityઃఆ͕ඞཁ ԾԽ v.s. Χʔωϧ EPDLFSSVOa EFWJDFEFWOWJEJBEFWOWJEJBa EFWJDFEFWOWJEJBVWNEFWOWJEJBVWNa
HQVXPSLFS &$4ͷ5BTLఆٛʹ͓͍ͯEFWJDFΦϓγϣϯະαϙʔτ
• GPUσόΠεಛघͳϑΝΠϧͱͯ͠ଘࡏ • ΞΫηε͢ΔͨΊʹಛఆͷCapabilityઃఆ͕ඞཁ ԾԽ v.s. Χʔωϧ EPDLFSSVOQSJWJMFHFEHQVXPSLFS
ԾԽ v.s. Χʔωϧ EPDLFSSVOQSJWJMFHFEHQVXPSLFS • capability શ։์ • rootͰ࣮ߦ͞Ε͍ͯΔdockerd্ͷcontainerͷதͰrootΛ औ͍ͬͯΔͷͰ৭ʑग़དྷΔ
EPDLFSSVOQSJWJMFHFEBMQJOFMBUFTUEBUFT • GPUσόΠεಛघͳϑΝΠϧͱͯ͠ଘࡏ • ΞΫηε͢ΔͨΊʹಛఆͷCapabilityઃఆ͕ඞཁ
• GPUσόΠεಛघͳϑΝΠϧͱͯ͠ଘࡏ • ΞΫηε͢ΔͨΊʹಛఆͷCapabilityઃఆ͕ඞཁ ԾԽ v.s. Χʔωϧ EPDLFSSVOQSJWJMFHFEHQVXPSLFS • rootҎ֎ͷϢʔβʔͰ࣮ߦ͢Δ͜ͱʹ͢Δ
• DockerFileͰ `USER runner`
• ྉཧࣸਅͷࣗಈऩूαʔϏεΛ • CaffeNet[1]Λݩʹ࡞ͬͨྉཧը૾ೝࣝϞσϧͱ • Amazon SQS/S3 Ͱߏங͞Εͨσʔλϑϩʔͱ • Amazon
ECS (GPU instance) Λར༻ͯ͠ӡ༻͍ͯ͠Δ <>IUUQTHJUIVCDPN#7-$DB⒎F Agenda