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
150
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
14k
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
980
サービス開発、機械学習、クラウド / the trinity of machine learning
ayemos
0
3.4k
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
5.2k
AWS で加速する機械学習 / Accelerate Machine Learning with AWS
ayemos
1
320
クックパッドの機械学習基盤 2018 / Machine Learning Platform at Cookpad ~ 2018 ~
ayemos
15
20k
PyTorchとCaffe2とONNXと深層学習モデルのデプロイについて
ayemos
1
3k
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
420
Other Decks in Programming
See All in Programming
Azure AI Foundryではじめてのマルチエージェントワークフロー
seosoft
0
160
WebViewの現在地 - SwiftUI時代のWebKit - / The Current State Of WebView
marcy731
0
110
“いい感じ“な定量評価を求めて - Four Keysとアウトカムの間の探求 -
nealle
1
9.1k
Node-RED を(HTTP で)つなげる MCP サーバーを作ってみた
highu
0
120
AIプログラマーDevinは PHPerの夢を見るか?
shinyasaita
1
210
チームで開発し事業を加速するための"良い"設計の考え方 @ サポーターズCoLab 2025-07-08
agatan
1
320
Hypervel - A Coroutine Framework for Laravel Artisans
albertcht
1
110
PipeCDのプラグイン化で目指すところ
warashi
1
270
Modern Angular with Signals and Signal Store:New Rules for Your Architecture @enterJS Advanced Angular Day 2025
manfredsteyer
PRO
0
210
20250704_教育事業におけるアジャイルなデータ基盤構築
hanon52_
5
740
AIともっと楽するE2Eテスト
myohei
0
330
Goで作る、開発・CI環境
sin392
0
220
Featured
See All Featured
XXLCSS - How to scale CSS and keep your sanity
sugarenia
248
1.3M
10 Git Anti Patterns You Should be Aware of
lemiorhan
PRO
657
60k
Art, The Web, and Tiny UX
lynnandtonic
299
21k
The Art of Programming - Codeland 2020
erikaheidi
54
13k
Typedesign – Prime Four
hannesfritz
42
2.7k
How GitHub (no longer) Works
holman
314
140k
ReactJS: Keep Simple. Everything can be a component!
pedronauck
667
120k
Optimizing for Happiness
mojombo
379
70k
Speed Design
sergeychernyshev
32
1k
How to Think Like a Performance Engineer
csswizardry
24
1.7k
Rails Girls Zürich Keynote
gr2m
94
14k
Stop Working from a Prison Cell
hatefulcrawdad
270
21k
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