Pure Storage Brent Franich

1. © 2016 PURE STORAGE INC.1
HOW TO BUILD A
DATA HUBFOR THE UNKNOWN IN MORDERN DATA

2. © 2017 PURE STORAGE INC.2

3. © 2017 PURE STORAGE INC.3

4. © 2017 PURE STORAGE INC.4

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OFFICIAL LANGUAGES ACT (1969/1988)
Translation Bureau

6. © 2017 PURE STORAGE INC.6

7. © 2017 PURE STORAGE INC.7
DATA

8. © 2017 PURE STORAGE INC.8
DAWN OF 4TH INDUSTRIAL REVOLUTION
BIG DATA, AI DRIVING CHANGE IN EVERY INDUSTRY
1st Revolution
1760-1820’s
Steam Power
Rural to Industrial
2nd Revolution
1870-1914
Electricity
Industrial to Mass Production
3rd Revolution
1980-2010
PC
Mass production to Digital
4th Revolution
2010-now
AI, Big Data & IoT
Digital to Intelligence

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10. © 2017 PURE STORAGE INC.10
PLATFORM FOR
STORAGE
INNOVATION
THE PURE STORAGE VISION
2.91”
5.27”
-9.85 °
SIMPLEFLASH
+ CLOUD
SOFTWARE
+ HARDWARE
BUSINESS
MODEL
DATA IS
FOREVER
8.18”
+

11. © 2017 PURE STORAGE INC.11
A MAGIC QUADRANT LEADER
Source: Gartner Magic Quadrant for Solid State Arrays, July 2017.
This graphic was published by Gartner, Inc. as a part of a larger research document
and should be evaluated in the context of the entire document. The Gartner
document is available upon request from Pure Storage. Gartner does not endorse
any vendor, product, or service depicted in its research publications, and does not
advise technology users to select only those vendors with the highest ratings or
other designation. Gartner research publications consist of the opinions of
Gartner’s research organization and should not be construed as statements of fact.
Gartner disclaims all warranties, expressed or implied, with respect to this research,
including and warranties of merchantability or fitness for a particular purpose.
A LEADER FOUR YEARS IN A ROW!
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or
its affiliates in the U.S. and internationally, and is used herein with permission.
All rights reserved.

12. © 2017 PURE STORAGE INC.12
ACCELERATE POSSIBLE
WE’VE HELPED > 3000 CUSTOMERS
ACCELERATE
DIGITAL BUSINESS
TRANSFORM IT
TO THE CLOUD MODEL
HARNESS
VALUE OF DATA

13. © 2017 PURE STORAGE INC.13
PURE POWERS
CLOUD LEADERS GLOBALLY
PUBLIC
CLOUD
SaaS
ALL-FLASH
CLOUDPRIVATE
CLOUD

14. © 2017 PURE STORAGE INC.14
OUR VIEW OF THE WORLD 4 YEARS AGO
STRUCTURED
(BLOCK, DBs, VMs)
Tier2
Apps
VM
Farms
DBs &
Apps
Scientific
Media
Dev
Analytic
+ Log
User
Shares
Backup
& DR
Active
Archive
Object
ALL-FLASH
ARRAYS
UNSTRUCTURED
(FILE, OBJECT, KEY-VALUE
CONTAINERS)
Imaging &
Transcoded
Machine
Data, Sensor
& Control
Build/Test

15. © 2017 PURE STORAGE INC.15
DATA IS VITAL TO MACHINE LEARNING
OBSERVATION BY PROF. ANDREW NG, AI LUMINARY

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SOUL OF DGX-1 IS PARALLEL

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IN 2016 WE PIONEERED A NEW APROACH WITH FLASHBLADE
⎯

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Flash Blades
• Capacity & Performance
• DIffering capacities
• Hot Pluggable
Motherboard
• Intel CPU
• Dual 10Gb ports (SoC)
• Scale-out Object Store
Storage Unit
• Up 52TB of Flash
• Embedded NVRAM
• DirectFlash™
Fabric
• Dual redundant switches
• Cluster communications
• External connectivity
MASSIVELY PARALLELIZED STORAGE
12,480 NAND Die

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SOUL OF FLASHBLADE IS PARALLEL
POWERING 75 BLADE-SCALE IN SINGLE IP WITH PURITY FOR FLASHBLADE
KEY-VALUE DATABASE STORE FOR DISTRIBUTED PARTITIONS
KEY
VALUE
BILLIONS
&
BILLIONS
OF OBJECTS
NATIVE OBJECT NATIVE NFS/SMB
75 blade feature is subject to GA release

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THREE ESSENTIAL THINGS FOR AI
FRAMEWORKS &
APPLICATIONS
COMPUTE
FROM CPU TO GPU SERVERS
STORAGE
POWER ENTIRE AI PIPELINE

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WIDE RANGE OF NEEDS IN THE PIPELINE
SIGNIFICANT CHALLENGE TO LEGACY STORAGE
INGEST
From sensors, machines,
& user generated
CLEAN &
TRANSFORM
CPU Servers
EXPLORE
GPU Server
TRAIN
GPU Production Cluster
IO
PROFILE

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REAL WORLD PIPELINE IN
AN AUTONOMOUS CAR COMPANY
INGEST
CLEAN, LABEL,
RESIZE EXPLORE TRAIN
CPU Servers GPU Server GPU Production Cluster
10’S OF PB
COLD STORAGE
INFERENCE IN
VIRTUAL WORLD
GPU Production Cluster

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AI TRAINING SYSTEM
GOAL IS TO KEEP THE GPUs 100% BUSY
decode scale
evaluate
forward-
propagation
update
back-propagation
GPUI/O CPU
FULL TRAINING
WORKFLOW
Setup #1: Synthetic Data from
System RAM into GPUs
Setup #2: Real Image Data from
FlashBlade into DGX-1
BENCHMARK
SETUP
GPU ONLY I/O + CPU + GPU

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AI SYSTEMS DESIGN PATTERNS
HOW MUCH PERFORMANCE PENALTY DUE TO SHARED STORAGE?
decode scale
evaluate
forward-
propagation
update
back-propagation
GPUI/O CPU
FULL TRAINING
WORKFLOW
Setup #1: DGX-1 with 4x Local SSDs Setup #2: DGX-1 with 1x FlashBlade
BENCHMARK
SETUP

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RESULT: FLASHBLADE vs LOCAL SSDs
TENSORFLOW TRAINING BENCHMARK WITH RESNET-50
TIMETOSOLUTIONS(HOURS)
1.7 Hours
to process
10M images
1.8 Hours
to process
10M images
NVIDIA DGX-1 + Local SSDs NVIDIA DGX-1 + Pure FlashBlade
6% Faster

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RESULT: 3X FASTER END-TO-END
TENSORFLOW TRAINING BENCHMARK WITH RESNET-50
TIMETOSOLUTIONS(HOURS)
1.7 Hours
to process
10M images
1.8 Hours
to process
10M images
3.4 Hours
to load 8TB
into SSDs
NVIDIA DGX-1 + Local SSDs NVIDIA DGX-1 + Pure FlashBlade
305% Faster

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ANALYTICS FOR PRODUCTION DATA
“TUNED FOR EVERYTHING” DATA PLATFORM FOR BOTH TRAINING AND INFERENCING WORKLOADS
TRAINING ANALYSIS ON INFERENCE DATA
DEPLOY TRAINED
MODELS

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MAKING AUTONOMOUS
CARS POSSIBLE BY 2021
Zenuity, a joint venture of Volvo and Autoliv, aims to
build autonomous driving software for production
vehicles by 2021. They chose to build their deep learning
infrastructure with NVIDIA DGX-1 servers and Pure
FlashBlade systems to accelerate their AI initiative.

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POWERING ONE OF
MOST POWERFUL AI
SUPERCOMPUTER
Accelerating AI research for leading web
company to deliver more intelligent
services to millions of users

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AI EXPANDED OUR VIEW OF THE WORLD
STRUCTURED
(BLOCK, DBs, VMs)
Tier2
Apps
VM
Farms
DBs &
Apps
ALL-FLASH
ARRAYS
UNSTRUCTURED
(FILE, OBJECT, KEY-VALUE
CONTAINERS)

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32. © 2017 PURE STORAGE INC.32
FLASHBLADEINDUSTRY’S FIRST DATA HUB PURPOSE-BUILT FOR AI & DEEP LEARNING
75 blade feature is subject to GA release
BLADE PURITY SCALE-OUT FABRIC
Powerful, Elastic Data
Processing & Storage Unit
Massively Distributed
Software for Limitless Scale
Software-defined fabric that scales
linearly with more data & clients

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MORE INFORMATION, PLEASE…
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