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
170
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
2.1k
アットホームな分析基盤の作り方 / Homemade Machine Learning Toolkits
ayemos
1
990
サービス開発、機械学習、クラウド / the trinity of machine learning
ayemos
0
3.5k
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
330
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
430
Other Decks in Programming
See All in Programming
Claude Agent SDK を使ってみよう
hyshu
0
1.4k
TFLintカスタムプラグインで始める Terraformコード品質管理
bells17
2
360
Building, Deploying, and Monitoring Ruby Web Applications with Falcon (Kaigi on Rails 2025)
ioquatix
4
2.5k
はじめてのDSPy - 言語モデルを『プロンプト』ではなく『プログラミング』するための仕組み
masahiro_nishimi
4
14k
理論と実務のギャップを超える
eycjur
0
180
コード生成なしでモック処理を実現!ovechkin-dm/mockioで学ぶメタプログラミング
qualiarts
0
260
登壇は dynamic! な営みである / speech is dynamic
da1chi
0
360
技術的負債の正体を知って向き合う
irof
0
240
SwiftDataを使って10万件のデータを読み書きする
akidon0000
0
240
contribution to astral-sh/uv
shunsock
0
530
AIと人間の共創開発!OSSで試行錯誤した開発スタイル
mae616
2
800
EMこそClaude Codeでコード調査しよう
shibayu36
0
370
Featured
See All Featured
Fashionably flexible responsive web design (full day workshop)
malarkey
407
66k
How To Stay Up To Date on Web Technology
chriscoyier
791
250k
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
31
9.7k
4 Signs Your Business is Dying
shpigford
185
22k
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
30
2.9k
Fight the Zombie Pattern Library - RWD Summit 2016
marcelosomers
234
17k
The Power of CSS Pseudo Elements
geoffreycrofte
80
6k
Leading Effective Engineering Teams in the AI Era
addyosmani
7
600
For a Future-Friendly Web
brad_frost
180
10k
Speed Design
sergeychernyshev
32
1.2k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
9
990
The Invisible Side of Design
smashingmag
302
51k
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