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
mxnet-on-aws-batch
Search
ryo nakamaru
April 01, 2017
Programming
830
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
mxnet-on-aws-batch
JAWS-UG HPC * AI @ 2017.03.031
ryo nakamaru
April 01, 2017
More Decks by ryo nakamaru
See All by ryo nakamaru
AWSで楽をするサービスメッシュ入門/appmesh-trial
pottava
1
1.7k
reinforce-2019-recap-lt
pottava
2
4.2k
ScaleShift-jp-2019-summer
pottava
1
230
Firecracker とは何か/what is Firecracker
pottava
12
5.6k
ハイブリッド並列 on Kubernetes/hybrid-parallel-program-on-kubernetes
pottava
1
460
AWS Fargate + Code 兄弟で始める継続的デリバリー / Continuous Delivery with AWS Fargate and Code brothers
pottava
12
3.3k
Singularity と NVIDIA GPU Cloud で作る ハイブリッド機械学習環境の構築 / Building a hybrid environment for Machine Learning with Singularity and NGC
pottava
3
1.5k
明日から始めるちょい足し λ / get-started-with-aws-lambda
pottava
4
2.5k
NGC と Singularity によるハイブリッド機械学習環境 / A hybrid environment for Machine Learning with NGC and Singularity
pottava
0
530
Other Decks in Programming
See All in Programming
These Five Tricks Can Make Your Apps Greener, Cheaper, & Nicer
hollycummins
0
280
Make SRE Operations Easier with Azure SRE Agent
kkamegawa
0
5.5k
Hunting Vulnerabilities in Symfony with LLMs
vinceamstoutz
0
540
net-httpのHTTP/2対応について
naruse
0
470
DynamoDBには集計系のクエリがないけどなんとかしたい
musan
1
130
Webフレームワークの ベンチマークについて
yusukebe
0
160
JJUG CCC 2026 Spring: JSpecify で実現する Kotlin フレンドリーな Java API 設計
ternbusty
1
160
並列実装の現場、2ヶ月間実務でAIを使い倒したAIもPCも私も限界が近い
ming_ayami
0
130
ローカルLLMを使ってB2Bサービスを作っていての学び
yaotti
0
160
Inside Stream API
skrb
1
690
「AIで開発し、AIを届ける」をEvalでつなぐ 〜AIネイティブに始めるプロダクト開発の実践〜 / Connecting "Develop with AI, deliver AI" with Eval
rkaga
4
4.9k
AI時代のUIはどこへ行く?その2!
yusukebe
21
7.1k
Featured
See All Featured
[SF Ruby Conf 2025] Rails X
palkan
2
1.1k
Why You Should Never Use an ORM
jnunemaker
PRO
61
9.9k
Designing for Performance
lara
611
70k
A brief & incomplete history of UX Design for the World Wide Web: 1989–2019
jct
2
390
Design of three-dimensional binary manipulators for pick-and-place task avoiding obstacles (IECON2024)
konakalab
0
450
First, design no harm
axbom
PRO
2
1.2k
Test your architecture with Archunit
thirion
1
2.3k
Lightning talk: Run Django tests with GitHub Actions
sabderemane
0
200
How to build an LLM SEO readiness audit: a practical framework
nmsamuel
1
770
Claude Code どこまでも/ Claude Code Everywhere
nwiizo
65
56k
Ethics towards AI in product and experience design
skipperchong
2
310
Bridging the Design Gap: How Collaborative Modelling removes blockers to flow between stakeholders and teams @FastFlow conf
baasie
0
580
Transcript
MXNet on AWS Batch JAWS-UG: HPC #9 & AI #5
߹ಉษڧձ @ 2017.03.31
@pottava SUPINF Inc.
• AWS Batch ͷಛ • MXNet on AWS Batch σϞ
• ߏɺϙΠϯτ • ϋϯζΦϯͷ͝հ ͓
AWS Batch ͷಛ
Պֶٕज़ܭࢉɾϋΠύϑΥʔϚϯείϯϐϡʔςΟϯά ༻్ͰਅՁΛൃش͢Δɺେنͳεέʔϧɺδϣϒͷґ ଘఆ͕ٛՄೳͳϚωʔδυฒྻࢄॲཧج൫ɻ AWS Batch
͢Ͱʹ Black Belt ͷࢿྉ͕ެ։͞Ε͍ͯ·͢ɻ AWS Batch http://aws.typepad.com/sajp/2017/02/aws-black-belt-online-seminar-aws-batch.html
ࢲϢʔβࢹͰݱঢ়Λ·ͱΊ·ͨ͠ɻ AWS Batch http://qiita.com/pottava/items/d9886b2e8835c5c0d30f
MXNet on AWS Batch
σϞ
σΟʔϓϥʔχϯάΛར༻ʢLSTM with MXNetʣ AWS നॻɺPDF 27 ϑΝΠϧΛֶशσʔλʹར༻ ग़ͩ͠ͷ୯ޠ͔ΒɺͦΕΒ͍͠ޙଓͷจষΛࣗಈੜ AWS ϗϫΠτϖʔύʔ͘Μ
1. ·ͣҰʢֶशෆेͳʣਪ͕ಈ͘͜ͱΛ֬ೝ 2. ͦͷޙվΊͯɺσʔλͷऔಘɾՃ 3. ֶश 4. ৽൛ਪαʔϏεσϓϩΠ σϞͷྲྀΕ
ʮAmazon EC2 isʯΛ༩͑ͨ࣌ͷɺֶशෆेͳਪྫ ਪͷ༷ࢠ ৽͍͠ݴޠ͕ੜ·Ε·ͨ͠ɻ
ʮAmazon EC2 isʯͰɺͦΕͳΓʹֶशͨ͠ޙͷਪྫ ਪͷ༷ࢠ ݴ͍͍ͨ͜ͱΘ͔Γ·ͤΜ͕ɺ୯ޠจ๏ਵ͠·ͨ͠ɻ
γεςϜߏ
γεςϜߏ AWS Batch S3 2.ֶशδϣϒೖ ΤϯδχΞ SpotFleet DeepLearning AMI v2
1.ֶशσʔλೖ 3.δϣϒεέδϡʔϧ 4.σʔλऔಘ & ֶश 5.݁ՌϞσϧΛอଘ ҰൠϢʔβ AWS Lambda 7.Ϟσϧऔಘ & ਪ APIGateway 6.ਪϦΫΤετ 8.݁ՌԠ ECS EC2 g2.2xlarge EC2 g2.2xlarge
ϙΠϯτ
GPU ར༻ AMI Λ͏ • Unmanaged ڥͰ SpotFleet Ͱ҆͘ʂ •
CloudFormation Ͱڥͷల։Λ༰қʹ
NVIDIA-docker, awslogs • NVIDIA-docker ඞਢͰͳ͍ͷͷೖΕΔͱศར • Unmanaged ڥͰ log
CloudWatch Logs ʹ
privileged ϞʔυͰ job Λఆٛ
git ϦϙδτϦ
git clone on your machine! https://github.com/pottava/mxnet-char-lstm
ϋϯζΦϯ͋Γ·͢
COBOL on AWS Batch http://qiita.com/pottava/items/435c65b1fa72cb643f6e
JAWS-UG AI ࢧ෦
ίϯςϯπ • AWS Ͱ AI αʔϏεΛ࣮ɾӡ༻͢ΔͨΊͷ ɹҰൠతͳٕज़ใɺݟɺࣄྫڞ༗ͷ • ͢Ͱʹ׆༻͍ͯ͠Δํ •
ಋೖΛݕ౼͍ͯ͠Δํ • ԿͦΕ͓͍͍͠ͷʁͳํʢ։࠵͝ͱʹқ͕ଟগҧ͍·͢ʣ
ӡӦϝϯόʔ
ࢀߟจݙ ࢀߟจݙ: • AWS Batch – ؆୯ʹ͑ͯޮతͳόονίϯϐϡʔςΟϯάػೳ – AWS https://aws.amazon.com/jp/batch/
• AWS Black Belt Online SeminarʮAWS Batchʯͷࢿྉ͓ΑͼQAެ։ http://aws.typepad.com/sajp/2017/02/aws-black-belt-online-seminar-aws- batch.html#QCPzBdn.twitter_tweet_count_m • re:Invent 2016: AWS Big Data & Machine Learning Sessionsɻ https://aws.amazon.com/blogs/big-data/reinvent-2016-aws-big-data- machine-learning-sessions/