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
210
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
How we use GPUs in Cookpad
@Tokyo Machine Learning Kitchen
https://tokyo-ml.github.io/
Yuichiro Someya
November 06, 2017
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
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
5.3k
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
21k
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
460
Other Decks in Programming
See All in Programming
GDG Korea Android: 2026 I/O Extended ~ What's new in Android development tools
pluu
0
230
自動化したのに回らないテスト運用の壁ーAI時代の品質責任と生産性
mfunaki
1
140
バグを直したら useEffect が消えた
colorful12
3
650
生成AI導入の「期待外れ」を乗り越える ー 開発フロー改革が目指す、真の組織変革
starfish719
0
4.9k
全PRの83%がAIレビューだけでマージできるようになった開発組織はその後どうなったか
athug
1
1.9k
レビュー履歴をAIに食わせて、 Compose移行を加速するs
shihochan
0
150
Go言語とトイモデルで学ぶTransformerの気持ち / fukuokago23-transformer
monochromegane
0
190
これって Effect でできたのでは? / TSKaigi Mashup Kansai #2
susisu
0
250
そこに3びきプロダクトがいるじゃろう——生成AI時代における“価値が届かない理由”の構造
kosuket
0
520
進化を続けるGo toolsの現在地 / The Current State of Ever-Evolving Go Tools
hond0413
0
240
今さら聞けない .NET CLI
htkym
0
200
リアルな遅延を測る仕様
kota_yata
1
120
Featured
See All Featured
Reality Check: Gamification 10 Years Later
codingconduct
0
2.3k
How to optimise 3,500 product descriptions for ecommerce in one day using ChatGPT
katarinadahlin
PRO
2
3.8k
Practical Orchestrator
shlominoach
191
12k
The Straight Up "How To Draw Better" Workshop
denniskardys
239
140k
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
rmw
35
3.8k
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
3
780
Heart Work Chapter 1 - Part 1
lfama
PRO
8
36k
The Illustrated Guide to Node.js - THAT Conference 2024
reverentgeek
1
440
The innovator’s Mindset - Leading Through an Era of Exponential Change - McGill University 2025
jdejongh
PRO
1
260
Learning to Love Humans: Emotional Interface Design
aarron
275
41k
コードの90%をAIが書く世界で何が待っているのか / What awaits us in a world where 90% of the code is written by AI
rkaga
63
45k
Save Time (by Creating Custom Rails Generators)
garrettdimon
PRO
32
4.4k
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