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Investor Presentation 
Suresh Vasudevan, Chief Executive Officer 
Anup Singh, Chief Financial Officer 
August 26, 2014
Safe Harbor 
This presentation and the accompanying oral presentation contain “forward-looking” statements that are based on our management’s beliefs and assumptions and on information currently 
available to management. We intend for such forward-looking statements to be covered by the safe harbor provisions for forward-looking statements contained in the U.S. Private Securities 
Litigation Reform Act of 1995. Forward-looking statements include all statements other than statements of historical fact contained in this presentation, including information concerning our 
financial outlook, business plans and objectives, potential growth opportunities, competitive position, industry environment and potential market opportunities. 
Forward-looking statements are subject to known and unknown risks, uncertainties, assumptions and other factors including, but not limited to, those related to our future financial performance, 
market acceptance of our solutions, our ability to increase sales of our solutions, including to attract and retain customers and to selling additional solutions to our existing customers, our ability 
to develop new solutions and bring them to market in a timely manner, pricing pressure (as a result of competition or otherwise), our ability to maintain, protect and enhance our brand and 
intellectual property, global economic conditions and our ability to continue to expand our business and manage our growth. Moreover, we operate in very competitive and rapidly changing 
environments, and new risks may emerge from time to time. It is not possible for our management to predict all risks, nor can we assess the impact of all factors on our business or the extent to 
which any factor, or combination of factors, may cause actual results to differ materially from those contained in any forward-looking statements we may make. Further information on these and 
other factors that could affect our financial results are included in our filings we make with the Securities and Exchange Commission, and may cause our actual results, performance or 
achievements to differ materially and adversely from those anticipated or implied by our forward-looking statements. 
You should not rely upon forward-looking statements as predictions of future events. Although our management believes that the expectations reflected in our forward-looking statements are 
reasonable, we cannot guarantee that the future results, levels of activity, performance or events and circumstances described in the forward-looking statements will be achieved or occur. 
Moreover, neither we, nor any other person, assume responsibility for the accuracy and completeness of the forward-looking statements. We undertake no obligation to publicly update any 
forward-looking statements for any reason after the date of this presentation to conform these statements to actual results or to changes in our expectations, except as required by law. 
In addition to GAAP financial information, this presentation includes certain non-GAAP financial measures. The non-GAAP measures have limitations and you should not consider them in 
isolation or as a substitute for our GAAP financial information. There are limitations to the use of non-GAAP measures. For example, bookings and free cash flow are not substitutes for 
revenues or cash provided by operations. In addition, non-GAAP operating expenses exclude the impact of stock-based compensation expense, which is a recurring expense for us. See the 
Appendix for a reconciliation of these non-GAAP financial measures to their nearest GAAP equivalent. 
2
Table of Contents 
3 
§ Nimble Storage Opportunity 
§ Business & Financial Overview 
§ Customer Case Studies
Nimble Storage Opportunity
Customer Challenges – Scaling and Simplifying Storage Management 
Exacerbating Trends 
Virtualization Cloud Computing Big Data Social and Collaboration 
Poor Application 
Performance 
Compute 20X 
Network 10X 
Storage Same 
Mobility 
Increasing Demands 
of Data Growth 
40-45%* 
CAGR 
VM / Application Data 
Management Complexity 
CRM 
ERP 
CRM 
ERP 
*Source: IDC, The Digital Universe in 2020, sponsored by EMC 
5
Founding Thesis 
2013 TAM: 
~$40B 
1980s 
DAS 
1995+ 
Networked Storage 
Opportunity for a ground-up redesign of storage 
Today 
Flash 
Cloud 
Connectivity 
6
Flash and Disk are Complementary 
Component Flash Disk 
Random IO/$ 100X 1X 
Sequential IO/$ 1X 3X 
Capacity/$ 1X 15X 
Write Endurance Poor Proven 
Need for Performance Varies Greatly 
Analytics 
VDI 
OLTP 
File Services 
Low High 
Core design principles: 
• Efficiency: Leverage flash and disk for their complementary characteristics 
• Flexibility: Adapt to workloads, and as the merits of flash and disk evolve over time 
7
Our Value Proposition 
CASL™ 
Flash-optimized file 
system software 
InfoSight™ 
Cloud-based 
management/support 
Integrated Protection Proactive Wellness 
Non-disruptive, flexible 
scaling to massive scale 
Peak system health 
and availability 
Scale-To-Fit 
Rapid Backup and 
Recovery 
Efficiency 
Significantly better 
performance / $ and 
capacity / $ 
8 
Adaptive Flash
Incumbent Response 
Tiering 
Flash Arrays for High Performance 
Flash Requires a Ground-Up Design 
Application 
Integration 
Data Management 
• Compression 
• Snapshots 
• Thin provisioning 
• Replication 
• Others 
File System 
Software 
Key Decisions in 
Ground-Up Design 
How do we: 
§ Leverage flash for performance, while 
overcoming endurance concerns? 
§ Leverage disk for capacity? 
§ Be media-agnostic and flexible as the 
merits of flash and disk evolve? 
§ Leapfrog incumbents on data 
management? 
9
CASL: A Breakthrough File System 
Traditional File Systems / Tiering CASL Innovations Nimble Advantage 
Uses 30-70% less disk and 
flash resources 
Inline Compression, 
using variable blocks 
Fixed blocks: 
No compression 
Fast random writes 
need a flash tier 
Uses low-cost HDDs to deliver 
SSD-like write performance 
Inline Serialization of 
all incoming write IO 
SSD (Flash) Cache 
Disk 
More Flash 
More Disk 
Dynamic Caching to 
serve reads from flash 
Uses substantially less, low-cost 
flash to accelerate reads 
Fast reads by migrating 
between tiers wastes flash 
Copy-based snapshots 
waste capacity and 
degrade performance 
Pointer-Based 
Snapshots 
Integrated, rapid backup 
and recovery 
Non-disruptive scaling 
in least-cost increments 
Scale-to-Fit: Scale-up, 
deep and scale-out 
Scale-Up OR 
Limited Scale-Out 
CASL is more performance and capacity efficient and easy to scale, while delivering integrated data protection 
10
Broad Appeal 
11 
Diversified Workloads* 
90% 
80% 
70% 
60% 
50% 
40% 
30% 
20% 
10% 
0% 
Diversified Market Verticals* 
Other 
Legal 
Energy 
*Based on 12 month period through Q2 FY15. Y axis represents % of systems in the field that handle this type of workload 
13% 
Financial 
12% 
Service 
Providers 
10% Hi-Tech 
11% 
8% Education 
Healthcare 
23% 
8% 
3% 
4% 
8% 
Mfg. 
State/local 
government
Traditional Storage Management is Inefficient and Expensive 
! 
! 
# 
! # 
# 
! 
# 
! 
# 
? ? ? 
With modern data analytics tools 
can vendors predict and prevent 
problems before they occur? 
In a connected world why 
can’t vendors proactively monitor 
customer deployed systems? 
Vendor 
12
InfoSight: Cloud-Based Management 
Nimble Approach Customer Benefits 
Comprehensive 
Telemetry 
Proactive 
Wellness 
Analysis and 
Automation Storage Management 
SaaS Offering 
Community 
Learning 
Leveraging pervasive network connectivity and big data analytics to automate support and enable cloud-based management 
13
InfoSight Impact Examples 
* InfoSight case percentages and customer storage expansion needs based on 12 month period through Q2FY15 
14 
Proactive Wellness 
Prevents problems before they occur 
Customers receive unique 
wellness insights 571 
Performance 
Analytics 
1189 Unique users per month visit the 
Performance Analytics page 
125 
41 
Customers expanded flash* 
Customers upgraded controllers* 
Planning 
1087 Unique users per month visit the 
Capacity Planning page 
458 Customers expanded capacity* 
Comprehensive root cause analysis 
CPU and flash recommendations to meet 
growing workload demands 
Customers predict capacity growth 
using proprietary analytics 
Capacity recommendations to meet 
projected growth
Market Landscape and Our Opportunity 
Industry Nimble Storage 
Workloads 
High-Performance Computing 
Performance Intensive 
Mainstream Applications 
Cheap and Deep 
Server 
Flash 
All Flash Arrays 
Pure, SolidFire 
XtremIO 
Hybrid / Disk Arrays 
Archival 
Archival 
Real Time Analytics 
Adaptive Flash Platform 
Oracle / Sql 
Vertica 
VDI 
Mongo DB 
SAP 
Exchange 
VMware 
SharePoint 
EMC VNX 
NetApp FAS 
HP 3PAR 
Dell EQL/CML 
Server 
Flash 
15
Business & Financial Overview
$14.0 
+ 134% + 98% 
$53.8 
$125.7 
$50.6 
FY12 FY13 FY14 1H'FY14 1H'FY15 
Quarterly Revenue 
$ 11.0 
$ 14.6 
$ 20.2 
$ 22.1 
$ 28.5 
$ 33.4 
$ 41.7 
$ 46.5 
$ 53.8 
Q2FY13 Q3FY13 Q4FY13 Q1FY14 Q2FY14 Q3FY14 Q4FY14 Q1FY15 Q2FY15 
Product Revenue Support and Service Revenue 
Rapid Revenue Growth 
Annual and 1H’FY Revenue* 
$100.3 
Product Revenue Support and Service Revenue 
*Fiscal year ends on January 31 
17
Rapid Customer Growth & Strong Repeat Business 
18 
Cumulative Customer Base 2-Year Bookings After Initial Sale – All Customers 
573 
1,749 
3,756 
Q2FY13 Q2FY14 Q2FY15 
Note: Bookings defined as a purchase order received; statistics as of July 31, 2014 
* Top 50 of all customers that have been Nimble Storage customers for 4 or more quarters; Of the 50, 20 customers have 8 quarters of history. 
2X 
1X 
Initial Sale Total: Year 1 and 2 
2-Year Bookings After Initial Sale – Top 50 Customers* 
4.5X 
1X 
Initial Sale Total: Year 1 and 2
Increased Large Enterprise and Cloud Service Provider Penetration 
19 
Number of Large Enterprises* Large Enterprise Repeat Bookings 
46 
130 
235 
Q2FY13 Q2FY14 Q2FY15 
Number of Cloud Service Providers 
53 
156 
341 
Q2FY13 Q2FY14 Q2FY15 
3.3X 
1X 
Initial Sale Total: Year 1 and 2 
Cloud Service Provider Repeat Bookings 
*Company estimates of Global 5,000 customers 
3.5X 
1X 
Initial Sale Total: Year 1 and 2
Additional Growth Drivers: International & Large Deals 
Customers 
Cumulative Customer Base 
573 
1,749 
3,756 
Q2FY13 Q2FY14 Q2FY15 
Deals >$100K 
% Customer Bookings > $100K 
Bookings 
>$100k 
Bookings 
<$100K 
Number of Deals > $100K 
65% 
35% 
12 months thru Q2FY15 
239 
444 
+86% 
TTM Q2FY14 TTM Q2FY15 
20 
International Expansion 
% International Bookings 
International 
North America 
17% 
12 months thru Q2FY15 
International Bookings 
+169% 
83% 
TTM Q2FY14 TTM Q2FY15
Channel Leverage 
Engagement Levels 
Active Reseller AEs* 
+99% 
Base of Accredited SEs** 
1,001 
2,581 
+158% 
Q2FY14 Q2FY15 
Opportunities & Customer Wins 
Channel Generated Opportunities*** 
1,196 
1,878 
+57% 
Q2FY14 Q2FY15 
Reseller Led New Customer Wins**** 
128 
250 
+95% 
Q2FY14 Q2FY15 
436 
867 
Q2FY14 Q2FY15 
* Total number of reseller AEs that closed 1 or more deals during the fiscal quarter ** Total cumulative number of accredited SEs as of the end of each fiscal quarter 
*** Total number of opportunities generated by partners during the fiscal quarter **** Total number of new customers during the quarter where the reseller contributed 75% (or greater) of total effort to close the deal. 
21
Best-in-Class Gross Margins 
Quarterly Gross Margin* Product and Support and Service Gross Margin* 
64.3% 
66.4% 
67.2% 
66.2% 
67.4% 
Q2FY14 Q3FY14 Q4FY14 Q1FY15 Q2FY15 
67.2% 69.4% 
37.3% 
52.9% 
Q2FY14 Q2FY15 
Product Gross Margin Support and Service Gross Margin 
*Reflects Non-GAAP Gross Margin; see slide 27 for reconciliation 
22
Improving Operating And Cash Flow Margins 
FY13 FY14 1H'FY14 1H'FY15 
-47% 
-27% 
-33% 
-21% 
Cash Flow From Operations, Cash Burn and 
Free Cash Flow % of Revenue** 
Q3FY13 Q4FY13 Q1FY14 Q2FY14 Q3FY14 Q4FY14 Q1FY15 Q2FY15 
v 
Improving Operating Margin* 
-35% 
*Reflects Non-GAAP Operating Margin, which excludes stock based compensation expense. See slide 27 for reconciliation 
**Free cash flow is defined as net cash from operating activities minus capital expenditures 
5% 
-37% 
3% 
-43% 
-2% 
Operating Cash Flow as % of Total Revenue 
Cash Burn as % of Total Revenue 
Free Cash Flow as % of Total Revenue 
23
Target Operating Model 
FY13 FY14 1H FY15 Long-Term Model 
Gross Margin* 62% 65% 67% Currently operating above target model 63%–65% 
R&D as % of 
Revenue* 28% 26% 25% Leverage from investments we have made in our rich product 
roadmap 11%–13% 
S&M as % of 
Revenue* 72% 57% 52% 
Continuously improving leverage from channel partners, ramp of 
sales teams to mature quota carrying levels, continued increase in 
repeat business from existing customer base 
28%–31% 
G&A as % of 
Revenue* 9% 9% 10% Continuous efficiency and economies of scale 5%–6% 
Non-GAAP 
Operating 
Margin 
-47% -27% -21% 16%–20% 
*Reflects Non-GAAP Gross Margin, R&D, S&M, G&A and Operating Margin, see slide 27 for reconciliation 
Note: due to rounding, numbers presented above may not sum to total. 
24 
How we get there
Financial Highlights 
Strong revenue growth with a significant “land and expand” opportunity 
Attractive and best-in-class gross margin profile 
Investments to expand differentiation and capitalize on large market opportunity 
Improving operating leverage and cash flow margins 
Attractive long term financial model 
25
Customers 
Continue expansion into 
large enterprise and service 
provider customers 
Sales and Marketing 
Invest aggressively to deepen 
sales coverage within existing territories, 
expand internationally, and drive continued 
channel leverage 
People 
Build best-in-class company 
founded on recruiting and retaining 
the industry’s best talent 
Our Strategic Priorities 
Technology Platform 
Build on our broad technology 
foundation to further extend our 
differentiation, broaden feature coverage, 
and further expand our target market 
26
GAAP to Non-GAAP Reconciliation 
27 
($ in thousands) FY12 FY13 FY14 Q3FY13 Q4FY13 Q1FY14 Q2FY14 Q3FY14 Q4FY14 Q1FY15 Q2FY15 1H'FY14 1H'FY15 
GAAP Product Gross Profit 7,880 32,499 76,581 8,624 12,218 13,151 17,240 20,564 25,626 28,224 32,326 30,391 60,550 
% GAAP Product Gross Margin 60.1% 65.3% 67.9% 64.3% 65.6% 65.6% 67.0% 68.8% 69.0% 68.4% 68.6% 66.4% 68.5% 
(+) Stock-based Compensation 10 48 232 11 29 40 38 52 102 231 374 78 605 
Non-GAAP Product Gross Profit 7,890 32,547 76,813 8,635 12,247 13,191 17,278 20,616 25,728 28,455 32,700 30,469 61,155 
Non-GAAP Product Gross Margin 60.2% 65.4% 68.1% 64.4% 65.7% 65.8% 67.2% 69.0% 69.2% 69.0% 69.4% 66.6% 69.2% 
GAAP Support and Service Gross Profit (145) 891 4,941 312 195 430 940 1,458 2,113 1,988 2,919 1,370 4,907 
% GAAP Support and Service Gross Margin -16.1% 21.9% 38.2% 27.2% 12.6% 20.7% 34.1% 41.3% 46.4% 37.4% 44.0% 28.3% 41.1% 
(+) Stock-based Compensation 31 114 468 31 37 43 88 127 210 393 593 131 986 
Non-GAAP Support and Service Gross Profit (114) 1,005 5,409 343 232 473 1,028 1,585 2,323 2,381 3,512 1,501 5,893 
Non-GAAP Support and Service Gross Margin -12.7% 24.7% 41.9% 30.0% 14.9% 22.8% 37.3% 44.9% 51.0% 44.8% 52.9% 31.0% 49.3% 
GAAP Gross Profit 7,735 33,390 81,522 8,936 12,413 13,581 18,180 22,022 27,739 30,212 35,245 31,761 65,457 
% GAAP Gross Margin 55.2% 62.0% 64.8% 61.4% 61.5% 61.4% 63.8% 65.9% 66.5% 64.9% 65.6% 62.8% 65.3% 
(+) Stock-based Compensation 41 162 700 42 66 83 126 179 312 624 967 209 1,591 
Non-GAAP Gross Profit 7,776 33,552 82,222 8,978 12,479 13,664 18,306 22,201 28,051 30,836 36,212 31,970 67,048 
% Non-GAAP Gross Margin 55.5% 62.3% 65.4% 61.7% 61.8% 61.8% 64.3% 66.4% 67.2% 66.2% 67.4% 63.2% 66.8% 
GAAP Research and Development 7,903 16,135 35,247 4,300 5,120 6,318 8,058 9,361 11,510 14,217 17,417 14,376 31,634 
(-) Stock-based Compensation 268 874 3,049 231 295 367 547 781 1,354 2,440 3,692 914 6,132 
Non-GAAP Research and Development 7,635 15,261 32,198 4,069 4,825 5,951 7,511 8,580 10,156 11,777 13,725 13,462 25,502 
GAAP Sales and Marketing 12,863 39,851 75,107 10,494 15,489 14,160 17,268 19,902 23,777 29,202 36,639 31,428 65,841 
(-) Stock-based Compensation 244 1,029 3,674 275 357 498 623 850 1,703 4,921 8,664 1,121 13,585 
Non-GAAP Sales and Marketing 12,619 38,822 71,433 10,219 15,132 13,662 16,645 19,052 22,074 24,281 27,975 30,307 52,256 
GAAP General and Administrative 3,756 5,168 13,737 1,240 1,930 2,301 3,041 3,130 5,265 6,437 7,101 5,342 13,538 
(-) Stock-based Compensation 267 539 1,726 139 164 207 331 455 733 1,572 1,846 538 3,418 
Non-GAAP General and Administrative 3,489 4,629 12,011 1,101 1,766 2,094 2,710 2,675 4,532 4,865 5,255 4,804 10,120 
GAAP Operating Expenses 24,522 61,154 124,091 16,034 22,539 22,779 28,367 32,393 40,552 49,856 61,157 51,146 111,013 
(-) Stock-based Compensation 779 2,442 8,449 645 816 1,072 1,501 2,086 3,790 8,933 14,202 2,573 23,135 
Non-GAAP Operating Expenses 23,743 58,712 115,642 15,389 21,723 21,707 26,866 30,307 36,762 40,923 46,955 48,573 87,878 
GAAP Operating Loss (16,787) (27,764) (42,569) (7,098) (10,126) (9,198) (10,187) (10,371) (12,813) (19,644) (25,912) (19,385) (45,556) 
% of Revenue -120% -52% -34% -49% -50% -42% -36% -31% -31% -42% -48% -38% -45% 
(+) Stock-based Compensation 820 2,604 9,149 687 882 1,155 1,627 2,265 4,102 9,557 15,169 2,782 24,726 
Non-GAAP Operating Loss (15,967) (25,160) (33,420) (6,411) (9,244) (8,043) (8,560) (8,106) (8,711) (10,087) (10,743) (16,603) (20,830) 
% of Revenue -114% -47% -27% -44% -46% -36% -30% -24% -21% -22% -20% -33% -21% 
Net Cash Provided by (Used in) Operating Activities (14,841) (18,754) (6,742) (5,115) (3,898) (4,876) (3,780) (271) 2,185 452 2,837 (8,656) 3,289 
% of Revenue -105.9% -35% -5% -35% -19% -22% -13% -1% 5% 1% 5% -17% 3% 
(-) Property and Equipment, Net 1,303 3,954 13,613 1,202 1,424 1,884 1,542 4,726 5,461 3,728 4,179 3,426 7,907 
Free Cash Flow (16,144) (22,708) (20,355) (6,317) (5,322) (6,760) (5,322) (4,997) (3,276) (3,276) (1,342) (12,082) (4,618) 
% of Revenue -115.2% -42% -16% -43% -26% -31% -19% -15% -8% -7% -2% -24% -5%
Customer Case Studies
Fortune 500 Engineering & Construction Company 
Competitor Solution 
Challenges 
§ 80% physical servers; EMC & NetApp SAN 
§ Struggled with performance for Autonomy e-discovery 
& Oracle data warehouse 
§ Application backups taking over 10 hours 
Nimble Advantage 
§ Performance up by 2X, despite using virtual servers 
§ Data reduction of 2.3X lowers $/GB substantially 
§ Snapshots -based backup eliminated backup window 
§ Replication for DR 
§ Power, cooling and space costs lower by $3,500/month 
Nimble SmartStack 
DR with 90 days 
of replicated 
snapshots 
Prod (Houston) DR (Austin) 
Replication 
§ 6U! 
§ 110TB with 2.3X 
data reduction 
§ 30 days of 
snapshots 
Pre-Nimble Environment 
Primary SAN: 2 Racks 
Daily backup to tape 
29
Lower TCO: Global Office Products Company 
Competitor Solution 
3 Racks of “Tier 1” storage 
40TB Usable 
Storage in 126U 
Nimble Solution 
2 CS 460 arrays 
59TB Usable 
Storage in 6U 
§ SQL Server, SAP applications 
and other VMs using traditional 
“Tier 1” Storage 
§ Core project drivers: 
– Minimize data center 
costs like power, cooling 
– Reduce storage 
capacity costs 
– Reduce complexity 
“Nimble has given us much more 
flexibility with primary storage and data 
protection and a much more resilient 
infrastructure – all at a much lower 
cost.” 
—IT Platform Lead 
Replaced 
With 
9X Reduction in Storage Costs 
20X Reduction Footprint 
50% Savings in Data Protection Costs 
Zero Impact to Performance 
Challenges 
30
Consolidation and Efficiency at a Global Oil and Gas Leader 
Challenges 
§ Global Energy leader with hundreds of 
remote sites 
§ Initial VDI project goal to consolidate 
thousands of employee desktops at 
hundreds of field locations 
§ XenDesktop deployment with 
incumbent storage experienced 
serious performance issues, prompting 
a competitive bake-off with Nimble 
Nimble VDI Solution 
§ 3000 VDI users 
§ 64TB and 30K 
IOPS on average 
§ Price-performance: 72% lower cost per 
IOPS 
§ Cost of capacity: 37% compression, 
coupled with low-cost, Nearline HDDs 
§ 50% lower recovery time for virtual PCs 
§ Calls to help desk reduced dramatically 
Nimble Expanded Use Cases 
Phase 2: Exchange 
§ 11,500 mailboxes 
§ ~60TB used 
§ HA across two data centers 
Phase 3: ESX Farm 
§ 600 VMs 
§ Over 200 TBs across three 
data centers 
10 systems and over 600 TB of capacity in 18 months 
31
Customer Case Study: Fortune 50 Telecommunications Company 
Challenges 
§ Storage challenges in 
meeting the needs of a high-performance 
Vertica cluster 
- Constant trade-off 
between IO and capacity 
- Adding nodes to support 
storage was not cost 
effective 
- Lack of consolidated 
provisioning and 
management 
- Data protection difficult for 
separate storage pools 
Nimble Solution Nimble Advantage 
§ Reduced cost by reducing the 
number of required HP Vertica nodes 
- Performance to meet the IO needs 
of the analytics workload 
- Scale-to-fit architecture allows for 
separately scaling IO or capacity 
§ Consolidated storage management 
§ Nimble snapshots, clones and 
replication improve data protection 
and eliminate risk 
§ Vertica cluster processing Billions 
of events / hour 
§ 170TB capacity 
§ Hourly snapshots 
for data protection 
32
Customer Case Study: Global Managed Services Firm 
Situation 
§ Global firm with over 
19,000 professionals 
§ Managed Services 
focused on delivering 
hosted Microsoft 
Applications 
§ EMC storage 
deployed as core 
storage platform 
Challenges 
§ EMC VNX 7500 for 10,000 
Exchange users 
Goals from an alternative solution: 
§ Lower capital costs 
§ Small foot-print to lower monthly 
data center costs of $14,000 
§ Faster backup and recovery, to 
avoid traditional backup challenges 
§ Scalable platform for expansion 
19 Nimble systems in 5 countries 
Nimble Solution 
§ 6U of Nimble storage replaced 2 
racks of EMC 
Nimble Advantage: 
§ Much lower capital costs 
§ Data center and rack space cost 
savings of ~$10,500/ month 
§ Compression of 1.5X 
§ Snapshots for backup and recovery 
§ Non-disruptive upgrades 
33
Customer Case Study: Leading Cloud Services Provider 
Challenges 
§ Service Provider with 
presence across the US 
§ Core drivers: 
• Datacenter consolidation 
• Rapid provisioning 
• Performance scaling 
§ Large Telecom customer 
with scaling challenges 
prompted POC 
Nimble SmartStack Nimble Advantage 
§ Much higher performance at 
substantially lower capital costs: 
§ Compression savings of 50% site-wide 
§ High-density HDDs and more effective 
use of flash optimize both performance 
and capacity 
§ Much simpler management and 
faster on-boarding time 
§ Current environment comprises over 
600 TB (pre-compression) hosting 
over 6000 VMs for hundreds of 
customers and a variety of workloads 
10G iSCSI 10G UCS 
VMWare 
+ 
Cisco 
+ 
Nimble 
34
Transforming Storage Efficiency at a Large Bank 
Challenges 
§ Storage costs were 30% of 
the capital budget 
§ Core project drivers: 
• Performance scaling 
• Storage budget 
• Datacenter footprint 
Competitor Hybrid 
Disk-Flash Solution VS. Nimble Nimble Advantage 
§ 1.5x usable capacity and 50% 
lower capital costs 
§ 10x lower power and cooling costs 
§ Dramatically simpler storage 
management 
Phase 1: 
Exchange 
½ Rack 
6 Racks 
§ 2.5x performance and 2x usable 
capacity at much lower capital costs 
§ 75% lower power and cooling costs 
§ Dramatically simpler storage 
management 
Phase 2: 
SQL 
Databases 
¾ Rack 
3 Racks 
35
Transforming Data Protection at a Global Consulting Firm 
§ Nimble chosen as the platform 
for all 11 sites 
§ Each site protected with hourly 
snapshots for rapid recovery 
§ Data replicated between offices 
for cost-effective and simple DR 
§ Significant savings on storage and 
bandwidth 
Challenges 
Nimble Approach 
Boston 
Data Center 
Chicago 
Data Center 
9 Remote Sites 
Inadequate data protection in 
9 remote sites: 
• Tapes for backup 
• Offsite tape copies for disaster recovery 
Aging storage infrastructure in 
their main data centers: 
Boston and Chicago 
Rethinking infrastructure at 
all of their 11 sites 
36
Nimble storage investor presentation -  Q2 FY15

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Nimble storage investor presentation - Q2 FY15

  • 1. Investor Presentation Suresh Vasudevan, Chief Executive Officer Anup Singh, Chief Financial Officer August 26, 2014
  • 2. Safe Harbor This presentation and the accompanying oral presentation contain “forward-looking” statements that are based on our management’s beliefs and assumptions and on information currently available to management. We intend for such forward-looking statements to be covered by the safe harbor provisions for forward-looking statements contained in the U.S. Private Securities Litigation Reform Act of 1995. Forward-looking statements include all statements other than statements of historical fact contained in this presentation, including information concerning our financial outlook, business plans and objectives, potential growth opportunities, competitive position, industry environment and potential market opportunities. Forward-looking statements are subject to known and unknown risks, uncertainties, assumptions and other factors including, but not limited to, those related to our future financial performance, market acceptance of our solutions, our ability to increase sales of our solutions, including to attract and retain customers and to selling additional solutions to our existing customers, our ability to develop new solutions and bring them to market in a timely manner, pricing pressure (as a result of competition or otherwise), our ability to maintain, protect and enhance our brand and intellectual property, global economic conditions and our ability to continue to expand our business and manage our growth. Moreover, we operate in very competitive and rapidly changing environments, and new risks may emerge from time to time. It is not possible for our management to predict all risks, nor can we assess the impact of all factors on our business or the extent to which any factor, or combination of factors, may cause actual results to differ materially from those contained in any forward-looking statements we may make. Further information on these and other factors that could affect our financial results are included in our filings we make with the Securities and Exchange Commission, and may cause our actual results, performance or achievements to differ materially and adversely from those anticipated or implied by our forward-looking statements. You should not rely upon forward-looking statements as predictions of future events. Although our management believes that the expectations reflected in our forward-looking statements are reasonable, we cannot guarantee that the future results, levels of activity, performance or events and circumstances described in the forward-looking statements will be achieved or occur. Moreover, neither we, nor any other person, assume responsibility for the accuracy and completeness of the forward-looking statements. We undertake no obligation to publicly update any forward-looking statements for any reason after the date of this presentation to conform these statements to actual results or to changes in our expectations, except as required by law. In addition to GAAP financial information, this presentation includes certain non-GAAP financial measures. The non-GAAP measures have limitations and you should not consider them in isolation or as a substitute for our GAAP financial information. There are limitations to the use of non-GAAP measures. For example, bookings and free cash flow are not substitutes for revenues or cash provided by operations. In addition, non-GAAP operating expenses exclude the impact of stock-based compensation expense, which is a recurring expense for us. See the Appendix for a reconciliation of these non-GAAP financial measures to their nearest GAAP equivalent. 2
  • 3. Table of Contents 3 § Nimble Storage Opportunity § Business & Financial Overview § Customer Case Studies
  • 5. Customer Challenges – Scaling and Simplifying Storage Management Exacerbating Trends Virtualization Cloud Computing Big Data Social and Collaboration Poor Application Performance Compute 20X Network 10X Storage Same Mobility Increasing Demands of Data Growth 40-45%* CAGR VM / Application Data Management Complexity CRM ERP CRM ERP *Source: IDC, The Digital Universe in 2020, sponsored by EMC 5
  • 6. Founding Thesis 2013 TAM: ~$40B 1980s DAS 1995+ Networked Storage Opportunity for a ground-up redesign of storage Today Flash Cloud Connectivity 6
  • 7. Flash and Disk are Complementary Component Flash Disk Random IO/$ 100X 1X Sequential IO/$ 1X 3X Capacity/$ 1X 15X Write Endurance Poor Proven Need for Performance Varies Greatly Analytics VDI OLTP File Services Low High Core design principles: • Efficiency: Leverage flash and disk for their complementary characteristics • Flexibility: Adapt to workloads, and as the merits of flash and disk evolve over time 7
  • 8. Our Value Proposition CASL™ Flash-optimized file system software InfoSight™ Cloud-based management/support Integrated Protection Proactive Wellness Non-disruptive, flexible scaling to massive scale Peak system health and availability Scale-To-Fit Rapid Backup and Recovery Efficiency Significantly better performance / $ and capacity / $ 8 Adaptive Flash
  • 9. Incumbent Response Tiering Flash Arrays for High Performance Flash Requires a Ground-Up Design Application Integration Data Management • Compression • Snapshots • Thin provisioning • Replication • Others File System Software Key Decisions in Ground-Up Design How do we: § Leverage flash for performance, while overcoming endurance concerns? § Leverage disk for capacity? § Be media-agnostic and flexible as the merits of flash and disk evolve? § Leapfrog incumbents on data management? 9
  • 10. CASL: A Breakthrough File System Traditional File Systems / Tiering CASL Innovations Nimble Advantage Uses 30-70% less disk and flash resources Inline Compression, using variable blocks Fixed blocks: No compression Fast random writes need a flash tier Uses low-cost HDDs to deliver SSD-like write performance Inline Serialization of all incoming write IO SSD (Flash) Cache Disk More Flash More Disk Dynamic Caching to serve reads from flash Uses substantially less, low-cost flash to accelerate reads Fast reads by migrating between tiers wastes flash Copy-based snapshots waste capacity and degrade performance Pointer-Based Snapshots Integrated, rapid backup and recovery Non-disruptive scaling in least-cost increments Scale-to-Fit: Scale-up, deep and scale-out Scale-Up OR Limited Scale-Out CASL is more performance and capacity efficient and easy to scale, while delivering integrated data protection 10
  • 11. Broad Appeal 11 Diversified Workloads* 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% Diversified Market Verticals* Other Legal Energy *Based on 12 month period through Q2 FY15. Y axis represents % of systems in the field that handle this type of workload 13% Financial 12% Service Providers 10% Hi-Tech 11% 8% Education Healthcare 23% 8% 3% 4% 8% Mfg. State/local government
  • 12. Traditional Storage Management is Inefficient and Expensive ! ! # ! # # ! # ! # ? ? ? With modern data analytics tools can vendors predict and prevent problems before they occur? In a connected world why can’t vendors proactively monitor customer deployed systems? Vendor 12
  • 13. InfoSight: Cloud-Based Management Nimble Approach Customer Benefits Comprehensive Telemetry Proactive Wellness Analysis and Automation Storage Management SaaS Offering Community Learning Leveraging pervasive network connectivity and big data analytics to automate support and enable cloud-based management 13
  • 14. InfoSight Impact Examples * InfoSight case percentages and customer storage expansion needs based on 12 month period through Q2FY15 14 Proactive Wellness Prevents problems before they occur Customers receive unique wellness insights 571 Performance Analytics 1189 Unique users per month visit the Performance Analytics page 125 41 Customers expanded flash* Customers upgraded controllers* Planning 1087 Unique users per month visit the Capacity Planning page 458 Customers expanded capacity* Comprehensive root cause analysis CPU and flash recommendations to meet growing workload demands Customers predict capacity growth using proprietary analytics Capacity recommendations to meet projected growth
  • 15. Market Landscape and Our Opportunity Industry Nimble Storage Workloads High-Performance Computing Performance Intensive Mainstream Applications Cheap and Deep Server Flash All Flash Arrays Pure, SolidFire XtremIO Hybrid / Disk Arrays Archival Archival Real Time Analytics Adaptive Flash Platform Oracle / Sql Vertica VDI Mongo DB SAP Exchange VMware SharePoint EMC VNX NetApp FAS HP 3PAR Dell EQL/CML Server Flash 15
  • 17. $14.0 + 134% + 98% $53.8 $125.7 $50.6 FY12 FY13 FY14 1H'FY14 1H'FY15 Quarterly Revenue $ 11.0 $ 14.6 $ 20.2 $ 22.1 $ 28.5 $ 33.4 $ 41.7 $ 46.5 $ 53.8 Q2FY13 Q3FY13 Q4FY13 Q1FY14 Q2FY14 Q3FY14 Q4FY14 Q1FY15 Q2FY15 Product Revenue Support and Service Revenue Rapid Revenue Growth Annual and 1H’FY Revenue* $100.3 Product Revenue Support and Service Revenue *Fiscal year ends on January 31 17
  • 18. Rapid Customer Growth & Strong Repeat Business 18 Cumulative Customer Base 2-Year Bookings After Initial Sale – All Customers 573 1,749 3,756 Q2FY13 Q2FY14 Q2FY15 Note: Bookings defined as a purchase order received; statistics as of July 31, 2014 * Top 50 of all customers that have been Nimble Storage customers for 4 or more quarters; Of the 50, 20 customers have 8 quarters of history. 2X 1X Initial Sale Total: Year 1 and 2 2-Year Bookings After Initial Sale – Top 50 Customers* 4.5X 1X Initial Sale Total: Year 1 and 2
  • 19. Increased Large Enterprise and Cloud Service Provider Penetration 19 Number of Large Enterprises* Large Enterprise Repeat Bookings 46 130 235 Q2FY13 Q2FY14 Q2FY15 Number of Cloud Service Providers 53 156 341 Q2FY13 Q2FY14 Q2FY15 3.3X 1X Initial Sale Total: Year 1 and 2 Cloud Service Provider Repeat Bookings *Company estimates of Global 5,000 customers 3.5X 1X Initial Sale Total: Year 1 and 2
  • 20. Additional Growth Drivers: International & Large Deals Customers Cumulative Customer Base 573 1,749 3,756 Q2FY13 Q2FY14 Q2FY15 Deals >$100K % Customer Bookings > $100K Bookings >$100k Bookings <$100K Number of Deals > $100K 65% 35% 12 months thru Q2FY15 239 444 +86% TTM Q2FY14 TTM Q2FY15 20 International Expansion % International Bookings International North America 17% 12 months thru Q2FY15 International Bookings +169% 83% TTM Q2FY14 TTM Q2FY15
  • 21. Channel Leverage Engagement Levels Active Reseller AEs* +99% Base of Accredited SEs** 1,001 2,581 +158% Q2FY14 Q2FY15 Opportunities & Customer Wins Channel Generated Opportunities*** 1,196 1,878 +57% Q2FY14 Q2FY15 Reseller Led New Customer Wins**** 128 250 +95% Q2FY14 Q2FY15 436 867 Q2FY14 Q2FY15 * Total number of reseller AEs that closed 1 or more deals during the fiscal quarter ** Total cumulative number of accredited SEs as of the end of each fiscal quarter *** Total number of opportunities generated by partners during the fiscal quarter **** Total number of new customers during the quarter where the reseller contributed 75% (or greater) of total effort to close the deal. 21
  • 22. Best-in-Class Gross Margins Quarterly Gross Margin* Product and Support and Service Gross Margin* 64.3% 66.4% 67.2% 66.2% 67.4% Q2FY14 Q3FY14 Q4FY14 Q1FY15 Q2FY15 67.2% 69.4% 37.3% 52.9% Q2FY14 Q2FY15 Product Gross Margin Support and Service Gross Margin *Reflects Non-GAAP Gross Margin; see slide 27 for reconciliation 22
  • 23. Improving Operating And Cash Flow Margins FY13 FY14 1H'FY14 1H'FY15 -47% -27% -33% -21% Cash Flow From Operations, Cash Burn and Free Cash Flow % of Revenue** Q3FY13 Q4FY13 Q1FY14 Q2FY14 Q3FY14 Q4FY14 Q1FY15 Q2FY15 v Improving Operating Margin* -35% *Reflects Non-GAAP Operating Margin, which excludes stock based compensation expense. See slide 27 for reconciliation **Free cash flow is defined as net cash from operating activities minus capital expenditures 5% -37% 3% -43% -2% Operating Cash Flow as % of Total Revenue Cash Burn as % of Total Revenue Free Cash Flow as % of Total Revenue 23
  • 24. Target Operating Model FY13 FY14 1H FY15 Long-Term Model Gross Margin* 62% 65% 67% Currently operating above target model 63%–65% R&D as % of Revenue* 28% 26% 25% Leverage from investments we have made in our rich product roadmap 11%–13% S&M as % of Revenue* 72% 57% 52% Continuously improving leverage from channel partners, ramp of sales teams to mature quota carrying levels, continued increase in repeat business from existing customer base 28%–31% G&A as % of Revenue* 9% 9% 10% Continuous efficiency and economies of scale 5%–6% Non-GAAP Operating Margin -47% -27% -21% 16%–20% *Reflects Non-GAAP Gross Margin, R&D, S&M, G&A and Operating Margin, see slide 27 for reconciliation Note: due to rounding, numbers presented above may not sum to total. 24 How we get there
  • 25. Financial Highlights Strong revenue growth with a significant “land and expand” opportunity Attractive and best-in-class gross margin profile Investments to expand differentiation and capitalize on large market opportunity Improving operating leverage and cash flow margins Attractive long term financial model 25
  • 26. Customers Continue expansion into large enterprise and service provider customers Sales and Marketing Invest aggressively to deepen sales coverage within existing territories, expand internationally, and drive continued channel leverage People Build best-in-class company founded on recruiting and retaining the industry’s best talent Our Strategic Priorities Technology Platform Build on our broad technology foundation to further extend our differentiation, broaden feature coverage, and further expand our target market 26
  • 27. GAAP to Non-GAAP Reconciliation 27 ($ in thousands) FY12 FY13 FY14 Q3FY13 Q4FY13 Q1FY14 Q2FY14 Q3FY14 Q4FY14 Q1FY15 Q2FY15 1H'FY14 1H'FY15 GAAP Product Gross Profit 7,880 32,499 76,581 8,624 12,218 13,151 17,240 20,564 25,626 28,224 32,326 30,391 60,550 % GAAP Product Gross Margin 60.1% 65.3% 67.9% 64.3% 65.6% 65.6% 67.0% 68.8% 69.0% 68.4% 68.6% 66.4% 68.5% (+) Stock-based Compensation 10 48 232 11 29 40 38 52 102 231 374 78 605 Non-GAAP Product Gross Profit 7,890 32,547 76,813 8,635 12,247 13,191 17,278 20,616 25,728 28,455 32,700 30,469 61,155 Non-GAAP Product Gross Margin 60.2% 65.4% 68.1% 64.4% 65.7% 65.8% 67.2% 69.0% 69.2% 69.0% 69.4% 66.6% 69.2% GAAP Support and Service Gross Profit (145) 891 4,941 312 195 430 940 1,458 2,113 1,988 2,919 1,370 4,907 % GAAP Support and Service Gross Margin -16.1% 21.9% 38.2% 27.2% 12.6% 20.7% 34.1% 41.3% 46.4% 37.4% 44.0% 28.3% 41.1% (+) Stock-based Compensation 31 114 468 31 37 43 88 127 210 393 593 131 986 Non-GAAP Support and Service Gross Profit (114) 1,005 5,409 343 232 473 1,028 1,585 2,323 2,381 3,512 1,501 5,893 Non-GAAP Support and Service Gross Margin -12.7% 24.7% 41.9% 30.0% 14.9% 22.8% 37.3% 44.9% 51.0% 44.8% 52.9% 31.0% 49.3% GAAP Gross Profit 7,735 33,390 81,522 8,936 12,413 13,581 18,180 22,022 27,739 30,212 35,245 31,761 65,457 % GAAP Gross Margin 55.2% 62.0% 64.8% 61.4% 61.5% 61.4% 63.8% 65.9% 66.5% 64.9% 65.6% 62.8% 65.3% (+) Stock-based Compensation 41 162 700 42 66 83 126 179 312 624 967 209 1,591 Non-GAAP Gross Profit 7,776 33,552 82,222 8,978 12,479 13,664 18,306 22,201 28,051 30,836 36,212 31,970 67,048 % Non-GAAP Gross Margin 55.5% 62.3% 65.4% 61.7% 61.8% 61.8% 64.3% 66.4% 67.2% 66.2% 67.4% 63.2% 66.8% GAAP Research and Development 7,903 16,135 35,247 4,300 5,120 6,318 8,058 9,361 11,510 14,217 17,417 14,376 31,634 (-) Stock-based Compensation 268 874 3,049 231 295 367 547 781 1,354 2,440 3,692 914 6,132 Non-GAAP Research and Development 7,635 15,261 32,198 4,069 4,825 5,951 7,511 8,580 10,156 11,777 13,725 13,462 25,502 GAAP Sales and Marketing 12,863 39,851 75,107 10,494 15,489 14,160 17,268 19,902 23,777 29,202 36,639 31,428 65,841 (-) Stock-based Compensation 244 1,029 3,674 275 357 498 623 850 1,703 4,921 8,664 1,121 13,585 Non-GAAP Sales and Marketing 12,619 38,822 71,433 10,219 15,132 13,662 16,645 19,052 22,074 24,281 27,975 30,307 52,256 GAAP General and Administrative 3,756 5,168 13,737 1,240 1,930 2,301 3,041 3,130 5,265 6,437 7,101 5,342 13,538 (-) Stock-based Compensation 267 539 1,726 139 164 207 331 455 733 1,572 1,846 538 3,418 Non-GAAP General and Administrative 3,489 4,629 12,011 1,101 1,766 2,094 2,710 2,675 4,532 4,865 5,255 4,804 10,120 GAAP Operating Expenses 24,522 61,154 124,091 16,034 22,539 22,779 28,367 32,393 40,552 49,856 61,157 51,146 111,013 (-) Stock-based Compensation 779 2,442 8,449 645 816 1,072 1,501 2,086 3,790 8,933 14,202 2,573 23,135 Non-GAAP Operating Expenses 23,743 58,712 115,642 15,389 21,723 21,707 26,866 30,307 36,762 40,923 46,955 48,573 87,878 GAAP Operating Loss (16,787) (27,764) (42,569) (7,098) (10,126) (9,198) (10,187) (10,371) (12,813) (19,644) (25,912) (19,385) (45,556) % of Revenue -120% -52% -34% -49% -50% -42% -36% -31% -31% -42% -48% -38% -45% (+) Stock-based Compensation 820 2,604 9,149 687 882 1,155 1,627 2,265 4,102 9,557 15,169 2,782 24,726 Non-GAAP Operating Loss (15,967) (25,160) (33,420) (6,411) (9,244) (8,043) (8,560) (8,106) (8,711) (10,087) (10,743) (16,603) (20,830) % of Revenue -114% -47% -27% -44% -46% -36% -30% -24% -21% -22% -20% -33% -21% Net Cash Provided by (Used in) Operating Activities (14,841) (18,754) (6,742) (5,115) (3,898) (4,876) (3,780) (271) 2,185 452 2,837 (8,656) 3,289 % of Revenue -105.9% -35% -5% -35% -19% -22% -13% -1% 5% 1% 5% -17% 3% (-) Property and Equipment, Net 1,303 3,954 13,613 1,202 1,424 1,884 1,542 4,726 5,461 3,728 4,179 3,426 7,907 Free Cash Flow (16,144) (22,708) (20,355) (6,317) (5,322) (6,760) (5,322) (4,997) (3,276) (3,276) (1,342) (12,082) (4,618) % of Revenue -115.2% -42% -16% -43% -26% -31% -19% -15% -8% -7% -2% -24% -5%
  • 29. Fortune 500 Engineering & Construction Company Competitor Solution Challenges § 80% physical servers; EMC & NetApp SAN § Struggled with performance for Autonomy e-discovery & Oracle data warehouse § Application backups taking over 10 hours Nimble Advantage § Performance up by 2X, despite using virtual servers § Data reduction of 2.3X lowers $/GB substantially § Snapshots -based backup eliminated backup window § Replication for DR § Power, cooling and space costs lower by $3,500/month Nimble SmartStack DR with 90 days of replicated snapshots Prod (Houston) DR (Austin) Replication § 6U! § 110TB with 2.3X data reduction § 30 days of snapshots Pre-Nimble Environment Primary SAN: 2 Racks Daily backup to tape 29
  • 30. Lower TCO: Global Office Products Company Competitor Solution 3 Racks of “Tier 1” storage 40TB Usable Storage in 126U Nimble Solution 2 CS 460 arrays 59TB Usable Storage in 6U § SQL Server, SAP applications and other VMs using traditional “Tier 1” Storage § Core project drivers: – Minimize data center costs like power, cooling – Reduce storage capacity costs – Reduce complexity “Nimble has given us much more flexibility with primary storage and data protection and a much more resilient infrastructure – all at a much lower cost.” —IT Platform Lead Replaced With 9X Reduction in Storage Costs 20X Reduction Footprint 50% Savings in Data Protection Costs Zero Impact to Performance Challenges 30
  • 31. Consolidation and Efficiency at a Global Oil and Gas Leader Challenges § Global Energy leader with hundreds of remote sites § Initial VDI project goal to consolidate thousands of employee desktops at hundreds of field locations § XenDesktop deployment with incumbent storage experienced serious performance issues, prompting a competitive bake-off with Nimble Nimble VDI Solution § 3000 VDI users § 64TB and 30K IOPS on average § Price-performance: 72% lower cost per IOPS § Cost of capacity: 37% compression, coupled with low-cost, Nearline HDDs § 50% lower recovery time for virtual PCs § Calls to help desk reduced dramatically Nimble Expanded Use Cases Phase 2: Exchange § 11,500 mailboxes § ~60TB used § HA across two data centers Phase 3: ESX Farm § 600 VMs § Over 200 TBs across three data centers 10 systems and over 600 TB of capacity in 18 months 31
  • 32. Customer Case Study: Fortune 50 Telecommunications Company Challenges § Storage challenges in meeting the needs of a high-performance Vertica cluster - Constant trade-off between IO and capacity - Adding nodes to support storage was not cost effective - Lack of consolidated provisioning and management - Data protection difficult for separate storage pools Nimble Solution Nimble Advantage § Reduced cost by reducing the number of required HP Vertica nodes - Performance to meet the IO needs of the analytics workload - Scale-to-fit architecture allows for separately scaling IO or capacity § Consolidated storage management § Nimble snapshots, clones and replication improve data protection and eliminate risk § Vertica cluster processing Billions of events / hour § 170TB capacity § Hourly snapshots for data protection 32
  • 33. Customer Case Study: Global Managed Services Firm Situation § Global firm with over 19,000 professionals § Managed Services focused on delivering hosted Microsoft Applications § EMC storage deployed as core storage platform Challenges § EMC VNX 7500 for 10,000 Exchange users Goals from an alternative solution: § Lower capital costs § Small foot-print to lower monthly data center costs of $14,000 § Faster backup and recovery, to avoid traditional backup challenges § Scalable platform for expansion 19 Nimble systems in 5 countries Nimble Solution § 6U of Nimble storage replaced 2 racks of EMC Nimble Advantage: § Much lower capital costs § Data center and rack space cost savings of ~$10,500/ month § Compression of 1.5X § Snapshots for backup and recovery § Non-disruptive upgrades 33
  • 34. Customer Case Study: Leading Cloud Services Provider Challenges § Service Provider with presence across the US § Core drivers: • Datacenter consolidation • Rapid provisioning • Performance scaling § Large Telecom customer with scaling challenges prompted POC Nimble SmartStack Nimble Advantage § Much higher performance at substantially lower capital costs: § Compression savings of 50% site-wide § High-density HDDs and more effective use of flash optimize both performance and capacity § Much simpler management and faster on-boarding time § Current environment comprises over 600 TB (pre-compression) hosting over 6000 VMs for hundreds of customers and a variety of workloads 10G iSCSI 10G UCS VMWare + Cisco + Nimble 34
  • 35. Transforming Storage Efficiency at a Large Bank Challenges § Storage costs were 30% of the capital budget § Core project drivers: • Performance scaling • Storage budget • Datacenter footprint Competitor Hybrid Disk-Flash Solution VS. Nimble Nimble Advantage § 1.5x usable capacity and 50% lower capital costs § 10x lower power and cooling costs § Dramatically simpler storage management Phase 1: Exchange ½ Rack 6 Racks § 2.5x performance and 2x usable capacity at much lower capital costs § 75% lower power and cooling costs § Dramatically simpler storage management Phase 2: SQL Databases ¾ Rack 3 Racks 35
  • 36. Transforming Data Protection at a Global Consulting Firm § Nimble chosen as the platform for all 11 sites § Each site protected with hourly snapshots for rapid recovery § Data replicated between offices for cost-effective and simple DR § Significant savings on storage and bandwidth Challenges Nimble Approach Boston Data Center Chicago Data Center 9 Remote Sites Inadequate data protection in 9 remote sites: • Tapes for backup • Offsite tape copies for disaster recovery Aging storage infrastructure in their main data centers: Boston and Chicago Rethinking infrastructure at all of their 11 sites 36