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
How we use GPUs in Cookpad
Search
Yuichiro Someya
November 06, 2017
Programming
0
130
How we use GPUs in Cookpad
@Tokyo Machine Learning Kitchen
https://tokyo-ml.github.io/
Yuichiro Someya
November 06, 2017
Tweet
Share
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
13k
機械学習をスモールスタートさせる方法 / small machine learning
ayemos
3
2k
アットホームな分析基盤の作り方 / Homemade Machine Learning Toolkits
ayemos
1
950
サービス開発、機械学習、クラウド / the trinity of machine learning
ayemos
0
3.3k
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
5.1k
AWS で加速する機械学習 / Accelerate Machine Learning with AWS
ayemos
1
310
クックパッドの機械学習基盤 2018 / Machine Learning Platform at Cookpad ~ 2018 ~
ayemos
15
19k
PyTorchとCaffe2とONNXと深層学習モデルのデプロイについて
ayemos
1
2.9k
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
400
Other Decks in Programming
See All in Programming
Jaspr Dart Web Framework 박제창 @Devfest 2024
itsmedreamwalker
0
150
AWS re:Invent 2024個人的まとめ
satoshi256kbyte
0
100
DMMオンラインサロンアプリのSwift化
hayatan
0
190
ある日突然あなたが管理しているサーバーにDDoSが来たらどうなるでしょう?知ってるようで何も知らなかったDDoS攻撃と対策 #phpcon.2024
akase244
2
7.7k
watsonx.ai Dojo #6 継続的なAIアプリ開発と展開
oniak3ibm
PRO
0
170
ChatGPT とつくる PHP で OS 実装
memory1994
PRO
3
190
Оптимизируем производительность блока Казначейство
lamodatech
0
950
rails newと同時に型を書く
aki19035vc
5
710
Scaling your build logic
antalmonori
1
100
令和7年版 あなたが使ってよいフロントエンド機能とは
mugi_uno
10
5.2k
月刊 競技プログラミングをお仕事に役立てるには
terryu16
1
1.2k
ISUCON14感想戦で85万点まで頑張ってみた
ponyo877
1
590
Featured
See All Featured
Typedesign – Prime Four
hannesfritz
40
2.5k
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
226
22k
The Cult of Friendly URLs
andyhume
78
6.1k
Art, The Web, and Tiny UX
lynnandtonic
298
20k
Building an army of robots
kneath
302
45k
Scaling GitHub
holman
459
140k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
356
29k
Adopting Sorbet at Scale
ufuk
74
9.2k
Facilitating Awesome Meetings
lara
51
6.2k
Building Better People: How to give real-time feedback that sticks.
wjessup
366
19k
RailsConf 2023
tenderlove
29
970
Gamification - CAS2011
davidbonilla
80
5.1k
Transcript
)PXXFVTF(16TJO$PPLQBE :VJDIJSP4PNFZB!$PPLQBE*OD3%
‣ Yuichiro Someya (ayemos) ‣ github.com/ayemos ‣ Machine Learning Enginner
@ Cookpad Inc. # 2016(new grads) ~ Current
None
‣ 0VS(16FOWJSPONFOU )PXXFVUJMJ[F"84T(16JOTUBODFT )PXXFLFFQPVSTDBMBCJMJUZPGUFBNTJO3%
/7*%*"7
All-in on AWS since 2011
All-in on AWS since 2011 Amazon RDS (Relational Data)
Amazon Redshift (Data Warehouse)
All-in on AWS since 2011 Amazon S3 (Object Storage)
Amazon RDS (Relational Data) Amazon Redshift (Data Warehouse)
All-in on AWS since 2011 Amazon S3 (Object Storage)
Amazon RDS (Relational Data) Amazon Redshift (Data Warehouse) 7JSUVBM1SJWBUF$MPVE
7JSUVBM1SJWBUF$MPVE All-in on AWS since 2011 Amazon S3 (Object
Storage) Amazon RDS (Relational Data) Amazon Redshift (Data Warehouse) Amazon EC2 (Computation)
‣ $6%" ‣ DV%//
‣ $6%" ‣ DV%// (Snapshot)
‣ $6%" ‣ DV%// (Snapshot) ‣ $6%" ‣ DV%//
‣ $6%" ‣ DV%// (Snapshot) ‣ $6%" ‣ DV%//
CUDA9 cuDNN7 CUDA8 cuDNN7 CUDA8 cuDNN6
‣ $6%" ‣ DV%// (Snapshot) ‣ $6%" ‣ DV%//
CUDA9 cuDNN7 CUDA8 cuDNN7 CUDA8 cuDNN6
5FNQMBUF CUDA9 cuDNN7 CUDA8 cuDNN7 CUDA8 cuDNN6 5FNQMBUF KTPO
QBDLFSCVJME
‣ $6%" ‣ DV%// (Snapshot) ‣ $6%" ‣ DV%//
CUDA9 cuDNN7 CUDA8 cuDNN7 CUDA8 cuDNN6
‣ $6%" ‣ DV%// (Snapshot) ‣ $6%" ‣ DV%//
IUUQTBXTBNB[PODPNBNB[POBJBNJT CUDA9 cuDNN7 CUDA8 cuDNN7 CUDA8 cuDNN6
CUDA9 cuDNN7 CUDA8 cuDNN7 CUDA8 cuDNN6 ... `ssh` ...
CUDA9 cuDNN7 CUDA8 cuDNN7 CUDA8 cuDNN6 ... `ssh` ...
CUDA9 cuDNN7 CUDA8 cuDNN7 CUDA8 cuDNN6 ... `ssh` ...
AWS Lambda (Function) Stop! Idle? (Hourly)
CUDA9 cuDNN7 CUDA8 cuDNN7 CUDA8 cuDNN6 ... `ssh` ...
AWS Lambda (Function) Stop! Idle? (Hourly)
‣ 0OEFNBOE(16XPSLCFODIFT 6UJMJ[F".*UPNVMUJQMFXPSLCFODIFOWJSPONFOUT 1BDLFSNBLFTJUFBTJFSUPVQEBUFBOENPSFTUBCMF 0QFSBUFWJB$IBUCPU 8SBQVQ