The Future of Storage
New Principles for the AI AgeThe Future of Storage

Introduction

01 Shaky Ground

02 Old Ideas

03 New Principles

04 Benefits

05 Pure Storage

06 Getting Started

Summary

Content
A fundamental shift ishappening in IT. Artificial
intelligence, cyberthreats,
modern apps, sustainability,
and more are upping the stakesfor organizations—and putting
tremendous pressure on IT leaders.
To mitigate evolving risks while
maximizing the rewards of innovation,a new way of thinking about data
infrastructure is required. This ebook

INTRODUCTION

301 From Terra Firma to Shaky Ground

4

02 Old Ideas about Data Storage Will Hold You Back

6

03  New Principles of a Modern Data Platform

804  How You Can Benefit from the New Principles

905  How Pure Storage Delivers the Future of Storage, Today

10

06  How to Transform Your Data Infrastructure

12

SUMMARY

14

will help you make sense of thechallenges ahead and prepare forthe opportunities of tomorrow.

2

The Future of Storage

Introduction

01 Shaky Ground

02 Old Ideas

03 New Principles

04 Benefits

05 Pure Storage

06 Getting Started

Summary

Introduction
We’re at a fundamental inflection point in data infrastructure.
The past decade was focused on digital transformation, which made data the lifeblood ofevery organization. Old ideas about IT infrastructure needed to be cast aside, and new waysof thinking were required to meet challenges of scale, speed, and complexity. Forwardthinking IT leaders made use of emerging trends, like virtualization and the public cloud,to accelerate their transformation efforts. In many cases, these digital transformations
would have been severely limited—or impossible—without these new approaches.
The results are such that today, every organization is now a data organization.
IT is once again at the center of a transformation—artificial intelligence (AI). The benefits
and use cases seem almost limitless for both saving money (increased efficiencies
and productivity, for example) and increasing revenue (e.g., opening new markets andimproving customer experiences). Mass adoption of generative AI (GenAI), in particular,
is changing the operations of every organization, and the imperative to leverage it is
only increasing. AI is already putting tremendous strain on our data infrastructures.
In a recent survey of 1,500 IT leaders, 80% said that they are worried that theirbusiness will be left behind if their infrastructure can’t support AI fast enough1.

A Recent Survey of
1,500 IT Leaders Found:80%

Said that they are worried that
their business will be left behind
if their infrastructure can’t
support AI fast enough1.

Other Forces Compounding
the IT Challenges Include:• Increasing cyberthreats• Modernizing applications• Balancing risks
and innovation• Sustainability initiatives

Meanwhile, other forces only compound the IT challenges.
These include: increasing cyberthreats; modernizing applications; balancing
risks, costs and innovation; and emerging sustainability initiatives.
In this ebook, we’ll look at the challenges ahead and explore why legacy data infrastructures
won’t be enough to meet them. We’ll also lay out new principles which we believe are needed
to thrive in an AI-focused world—and explore how you can leverage and benefit from them.
3
1 | “The Innovation Race: Reducing Risk and Navigating the AI Frontier for Future Success”, from Vanson Bourne and Pure Storage, June, 2024

The Future of Storage

Introduction

01 Shaky Ground

02 Old Ideas

03 New Principles

04 Benefits

05 Pure Storage

06 Getting Started

Summary

01  From Terra Firma to Shaky Ground: AI Is Only Part of the Shift
The move to leverage AI (and GenAI, in particular) in organizations represents a fundamental shift in
how we both store and capitalize on data. The traditional approach was to select data storage systems
for individual use cases and workloads—databases, applications, backup, etc. This strategy has left manyorganizations with a patchwork of disparate, siloed data stores, both on-premises and in the cloud.
But in order to leverage that same data for GenAI

There will not only be the expense of acquiring

customer experience on top of the financial impact. IT

projects, organizations must break down these silos, so

the needed infrastructure but also the planning forleaders are spending an exorbitant amount of their timethat AI models can be fed. Otherwise organizations risk

vastly increased power and space requirements.

and resources on preventing cyber and ransomware

bad or incomplete GenAI models—and bad outcomes.

This growth must be managed in an increasingly

attacks. Therefore, data security will remain a top priority

This could mean missing out on the efficiencies andcost- and sustainability-focused IT ecosystem, where

for any infrastructure improvements, encompassing

productivity gains that AI can deliver, and losing

approving massive expansion projects—or massive

both prevention and rapid recovery from attacks.

competitive advantage. This is just one example ofpublic cloud expenses—can’t be taken for granted. It’s

how AI is straining on existing data infrastructure.

clear that working under existing assumptions aboutdata infrastructure won’t get the job done for AI.

The issues created by managing
the data that AI requires
shouldn’t be taken lightly.

81%

Believe that AI-generated data
is likely to outgrow theirorganization’s current data centers.1

Right alongside the shift to support AI, cyberthreatssuch as ransomware attacks are still on the rise,occurring at rates faster than one every minute. The
financial impacts are growing as well, with the average
global cost of each breach at almost $4.5M (and morethan double that in the U.S.). New threats continue
to challenge traditional security models, as AI-based
attack techniques become increasingly sophisticated.
Cyber resiliency has become a boardroom-level
conversation, given the massive exposure to everyorganization and potential impacts to brand and4
1 | “The Innovation Race: Reducing Risk and Navigating the AI Frontier for Future Success”, from Vanson Bourne and Pure Storage, June, 2024

The need to balance risk, costs,
and innovation is a constant
struggle for IT leaders.

86%

86% of surveyed place the reductionof their organization’s risk profile as
their top priority.1

The Future of Storage

Introduction

01 Shaky Ground

02 Old Ideas

03 New Principles

04 Benefits

34%

Technology Debt

34%
30%

Rising Cloud Costs

28%

Rising Energy Costs

Summary

via APIs, which often requires new storage architectures.

42%

The Management of Multiple Disparate System Environments

06 Getting Started

workloads need to be fully orchestrated and automatedAccording to IT Leaders, the Risks
Having the Greatest Impact Include:1
Cyberthreats

05 Pure Storage

KEY TAKEAWAY
While the threat of cyberattacks
is a constant focus, otherrisks are not far behindand speak to the growing
complexity of infrastructure.

In addition, organizational sustainability initiatives
are increasing globally, with a focus on how IT can
reduce its environmental impact. While sustainability
regulations are currently more prevalent in Europe andAsia, the Americas are seeing increased sustainability
focus due to organizational ESG initiatives. And even in
the U.S., regulations are more likely to increase in the
future. Local utilities are already placing regional limits
on data center expansion as they face pressures from,

Notably, one of the biggest threatsto any transformation initiative—
technical debt—was cited by 34%
as the risk with the most impact.
Modernizing the application stack is a good example ofthe innovation that IT is trying to achieve. Both existingapps and next-generation AI, analytics, and media apps
are being reimagined from the traditional monolithic

systems of the past to a combination of containers
and microservices. These cloud-native applications areoften more resilient and flexible than traditional apps.
They can more easily scale (both within the data centerand across a hybrid cloud model), as well as process
and interpret data in real time. These advantages help
boost organizational agility and reduce costs. But theseapplication changes also mean that traditional data
storage strategies must adapt into one of delivering dataservices. For example, data services for these modern

among other things, the growth of electric vehicles
and outdated power infrastructure. AI in particular isoften singled out as a workload that consumes massive
amounts of both energy and data center space. These
factors are driving the search for evermore efficient
IT infrastructure, especially data storage. Even if anorganization is sustainable in other areas, inefficient
data centers can damage reputation with customers,
investors, and employees. In other words, efficiency is
no longer just a “nice to have”, it’s becoming a necessity.
Whether the main pressure you’re feeling is AI, security,
modern apps, or sustainability—or all of them at

They also recognize thatthe focus on managing
risks can’t come at theexpense of innovating1:

6/10

58%

6/10

once—things are changing rapidly, and IT needs to

58% said that current

think differently in order to respond to organizational

business needs

needs and accelerate innovation. Change must

require more timecome in many areas of the IT stack, but it is felt

spent on innovation.

most keenly in data infrastructure. And what willbe the next challenge? If your data infrastructure
isn’t designed to be agile, you’ll be limited in yourability to respond to whatever comes next.

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1 | IT Leaders were asked to select their top three risks. Percentage figures are the number of respondents who selected that risk.

The Future of Storage

Introduction

01 Shaky Ground

02 Old Ideas

03 New Principles

04 Benefits

05 Pure Storage

06 Getting Started

Summary

02  Old Ideas about Data Storage Will Hold You Back
IT leaders recognize that data storage is complex.
Many assume that only marginal improvements can be made over time, based on experiences they’ve had with traditional legacy storage
solutions. But the assumptions commonly held about storage are largely driven by old ideas that are baked into these legacy systems.
Legacy data storage is rigid, inflexible, inefficient, and complex, and thus is ill-suited to handle IT challenges such as GenAI. Simply
adding more of the same legacy data storage, entrenched as it is in the old ways of thinking, will only make projects more difficult andresource-draining, limiting outcomes and potentially derailing projects completely.

How Legacy Storage Hinders IT Goals
The more complex a storage system is to set up and manage, the larger the impact will be on staff, delaying projects,
increasing costs, and tying up resources that otherwise could be tasked to AI projects.

Static, Vertical Storage Configurations

Siloed, Inconsistent Experiences• Traditionally, storage has been designed and implemented for each workload,• Legacy storage offers disparate product lines that are “platforms’’ in nameuse case, feature need, and location. The ability to scale and share data acrossonly. Different UIs, management systems and architectures have been cobbled

these vertical storage systems is very limited, hindering projects like AI thattogether, and are often rooted in decades-old HDD systems and various

require consolidated, scalable data stores. Static configurations also reduce thetechnology acquisitions. Cloud storage implementations from legacy vendors often

ability to apply automation, making data management even more complex andhave vastly different management and functionality compared to on-premises

limiting the accessibility of data. For example, data services for modern application

implementations, severely limiting the benefits of a hybrid-cloud strategy. Thisdevelopment are often managed outside the traditional workload and storage

legacy approach adds complexity, inefficiency and cost, and reduces scalability.

environment, adding even more complexity for both developers and IT staff. Data
security often has to be applied on each system via manual patching, adding
layers of complexity, increasing the potential for human error, and presenting alarger cyber “attack surface”—all of which can lead to vulnerabilities. And inherent
inefficiencies in both the design and implementation of these legacy systems will
make it difficult to meet goals around lower energy use and increased sustainability.

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The Future of Storage

Introduction

01 Shaky Ground

02 Old Ideas

03 New Principles

04 Benefits

05 Pure Storage

06 Getting Started

Complex Provisioning
and Configuration

Manual Processes to Optimize
Performance and Maintain Storage

Constant
and Disruptive Upgrades• The legacy storage world is one of “trouble tickets:”• Time-consuming processes are also required• Here is where the rigidity of legacy storage iscomplicated procedures that require IT specialists toto optimize performance, maintain data storage

felt most keenly. Storage systems that cannot

manage each step for IT’s internal customers when

uptime, and integrate data with other systems. This

scale require repeated, costly and disruptive

they need access to data infrastructure. As newis the complex, behind-the-scenes work that legacy

infrastructure upgrades, which tie up resources

workloads and ways to leverage your organization’sstorage requires from IT to make sure things don’t

and drive up costs. This planned obsolescence isdata increase so will the burden on IT staff tobreak, slow down, or can’t scale with your needs.

built into legacy storage and is part of the legacy

manage the provisioning, configuration, and security

The varied tools and interfaces across a vendor’sstorage vendor business model, even if limitedof data storage. This becomes even more limiting

product portfolio only complicate this work, requiring

upgrades may be offered on paper. And often there

in the context of AI and application modernization

teams of specialists and tying up resources thatis no ability to scale between different products

projects, throwing up barriers to success.

could be working on more strategic projects, like AI.

(even from the same vendor) as needs evolve.

New Thinking

Required to Tackle Modern Challenges

AI-Ready Infrastructure

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Summary

Cyber Resiliency

Application Modernization

Sustainability

The Future of Storage

Introduction

01 Shaky Ground

02 Old Ideas

03  New Principles
of a Modern Data Platform
You must fundamentally challenge your assumptions aboutdata infrastructure to meet the challenges of today andtomorrow. You must rethink its role, transforming from a disparate
collection of products in a data center to a strategic enabler
spanning from the edge to the cloud, via a cohesive, consistent
data platform. A new set of modern principles, for a modern
data platform, is needed to thrive in this new world of IT.
• A unified storage pool solves the problems associated with traditional legacy
static and vertical storage systems. A common, powerful, and highly efficient data

03 New Principles

04 Benefits

05 Pure Storage

06 Getting Started

Summary

New Principles of a Modern Data Platform
FROM

TO

STATIC, VERTICAL
STORAGE CONFIGURATIONSUNIFIED STORAGE POOL FOR
MULTIPLE USE CASES, ACCESSIBLE
THROUGH FLEXIBLE APISSILOED, INCONSISTENTEXPERIENCESCONSISTENT EXPERIENCE ACROSSHYBRID CLOUD AND ON-PREMISESCOMPLEX PROVISIONING& CONFIGURATION

EASY, AUTOMATED SELF-SERVICE
WITH GUARANTEED SLASMANUAL MAINTENANCE,PERFORMANCE OPTIMIZATION

AI-ENABLED OPTIMIZATION
AND AUTOMATIONCONSTANT AND
DISRUPTIVE UPGRADESSEAMLESS UPGRADES TO ELIMINATEDOWNTIME AND SYSTEM DISRUPTIONS

platform that works across multiple use cases and is accessible through flexible
APIs is needed to deliver the simplified data consolidation at scale organizations
require. This approach is crucial to successful AI projects. It also helps withapplications. The focus should be on empowering self-service to simplify

modern applications, so that API-driven data services can coexist on the same

operations and drive ease of use. Then, data maintenance becomes almost

storage platform as traditional workloads. An efficient platform delivers scalable

invisible, enabling generalists to manage it all. This approach is enriched when

performance for different workloads from mission-critical to backup use cases

as-a-service SLAs are guaranteed, further reducing the burden on IT staff.

and solves for the space and power limitations of traditional legacy storage.
• A consistent experience is delivered across hybrid cloud and on-premises

processes for optimizing performance, maintaining data uptime, enhancing

data infrastructure, instead of siloed and inconsistent experiences found indata security, and integrating with other systems. In other words, solving forlegacy storage. A common architecture and interface solves this, so data can

the complex, behind-the-scenes work that legacy storage requires from IT tobe more easily managed and accessed regardless of data type, workload,

make sure things don’t break, slow down, or can’t grow with your needs.

or performance need. This empowers IT staff to manage larger, more varied
data stores with much less effort and improves data security, as well.
• Easy, automated self-service with guaranteed SLAs, as opposed to complex,8• AI-enabled optimization and automation versus manual and time-consuming• Eliminating downtime and system disruptions with a data platform that’s
designed to scale and be upgraded continuously without the constant,disruptive upgrades required by legacy storage. After all, hyperscalers

manual provisioning and configuration. This simplicity should extend across

don’t take your systems offline for an upgrade. None of your infrastructure

all data stores and services, including those used in modern, container-based

should be constrained like that—whether in the cloud or on-premises.

The Future of Storage

Introduction

01 Shaky Ground

02 Old Ideas

03 New Principles

04 Benefits

05 Pure Storage

06 Getting Started

Summary04  How You Can Benefit from the New Principles
By adopting the new principles of modern data storage, you can realize the simplicity, agility, performance,
reliability, and efficiency needed to tackle the challenges of today, even as you prepare your organization for
excellence in the future. When you focus on these principles while you are building out your IT strategy, you canincrease your organization’s competitiveness and fuel both top-line growth and bottom-line savings.

This new approach is far simpler than that of traditional legacy storage,
which is mired in old assumptions. It also delivers you significant benefits.
Cost Optimization

Innovation and Agility

Sustainability• A consistent, automated, and easy-to-use• Scalability for both capacity and performance• Efficiency also enables the flexibility to avoid

interface helps reduce costs associated with

provides the agility you need to meet not only the

any regulatory or other limitations placed

staffing, since you can accelerate the move toward

challenges of the AI age, but also other changes

on data center expansion and energy use,

IT generalists instead of needing specialists tothat may come—both near- and long-term.

especially pertinent to massive AI projects inmanage your data storage infrastructure.
• An efficient platform means that you use significantly
less space and power, saving on operational costs.
• Eliminating downtime and increasing the reliabilityof your infrastructure increases staff efficiency,• Staff time can be freed up for more value-add

an era of increased focus on sustainability.

projects, increasing your speed of innovation.
• You can leverage new technology as soon
as it’s available, further accelerating yourinnovation and reducing your technical debt.

reduces maintenance costs, and avoids othercosts associated with downtime which canaffect both your brand and your bottom line.
All of these benefits combine to provide a solid foundation that will increase your organization’s agility and ability to achieve goals and compete well into the future.

All of these benefits combine to provide a solid foundation that will increase your organization’s
agility and ability to achieve goals and compete well into the future.

9

The Future of Storage

Introduction

01 Shaky Ground

02 Old Ideas

03 New Principles

05  How Pure Storage Delivers
the Future of Storage, TodayPure Storage has been challenging long-held assumptions
about data and storage infrastructure from our founding.
Our initial challenge to industry assumptions was around relianceon hard disk technology, helping IT leaders recognize the value of
all-flash data storage—not only as a new technology, but also as
an agent for positive change in their organizations. We challenged
traditional thinking again by proving that flash could perform atscale under the pressures of large enterprises—not just for highperformance workloads, but across the largest data estates, andeven for traditionally disk-based workloads like archive and backup.
And through it all, we challenged the assumption that storage had
to be complex in order to be powerful. We delivered performanceand advanced functionality with a relentless focus on making
things simple for IT staff—from installation, provisioning, andmanagement, to scaling and modernizing their storage.
Our Evergreen® architecture, built into our solutions from the very
beginning, challenged assumptions that storage upgrades had to be
expensive and disruptive in order to scale and take advantage of newtechnologies. Pure Storage has evolved to provide you scale, agility,and efficiency—all with one simple, consistent, and powerful platform.

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04 Benefits

05 Pure Storage

06 Getting Started

Summary

The Future of Storage

Introduction

01 Shaky Ground

02 Old Ideas

03 New Principles

04 Benefits

05 Pure Storage

06 Getting Started

Summary

The Pure Storage platform has been designed from the ground up to tackle the IT transformationof today. And more importantly, its agility is designed for the transformations still to come.
• Pure Storage enables a unified storage pool via a consistent data platformthat works across all the different workloads and data types in yourorganization, no matter the size of your data estate. The Pure Storage platform
is accessible through flexible APIs to deliver the simplified data consolidationand orchestration that organizations require for AI projects, as well as forapplication modernization. It also delivers the highest efficiency, saving you
on power and space costs and accelerating your sustainability efforts.

Other Benefits to thePure Storage Platform Approach
The simplicity and efficiency of the platform allows you to realize the lowest
total operating costs for storage, with total savings of up to 60% compared tolegacy storage solutions . Pure Storage delivers these savings by significantly2

reducing costs associated with provisioning and maintaining storage, powerand space use, downtime, scaling and upgrading storage, and more. And since• Our platform delivers a consistent experience across your entire data

everything is available as a service, Pure Storage can get you started on yourestate, including both hybrid cloud and on-premises data infrastructure.

transformation to the future of storage quickly, with minimal effort or expense.

A common architecture allows you to more easily manage and access
data, regardless of data type, workload, or performance need.
• Experience simplified management and self-service with guaranteed SLAs.
The Pure Storage platform enables simplified data operations, with ease of usethat doesn’t require copious training or specialists. Eliminate the frustration and

The simplicity and efficiency of theplatform allows you to realize the lowest
total operating costs for storage.

trouble tickets of the legacy storage world and enable self-service and much
more efficient IT operations. And be confident in your ability to deliver with
our guaranteed SLAs around performance, uptime, efficiency, and more.
• Get AI-enabled optimization and automation, to free up IT staff time from themundane tasks required by legacy storage. Operate like the cloud with autonomousback-end management and user-friendly interfaces for effortless access.
• Leverage ultimate flexibility to consume and deploy the platform in the way thatworks best for your organization. The entire platform can be delivered truly as aservice, on demand, fully managed, with SLAs, in a pay-as-you-go financial model—
just like the public cloud, whether in the cloud, on-premises, or in a hybrid cloud.

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2 | Based on Pure Storage and third-party analysis of the total cost of ownership of comparable all-flash systems from Pure Storage and leading competitors.

UP TO

60%

Total savings compared to legacy storage solutions .
2

The Future of Storage

Introduction

01 Shaky Ground

02 Old Ideas

03 New Principles

04 Benefits

05 Pure Storage

06 Getting Started

Summary

06  How to Transform Your Data Infrastructure
Rethinking your own data infrastructure may seem like a daunting task, but it can be simplified by taking
a phased approach. It’s important to remember that your data infrastructure is in service of your overall IT andbusiness strategy. Clearly understanding your business and IT priorities will allow you to phase in this transformation
in a way that supports—and doesn’t disrupt—the business, even on an accelerated time scale.
Pure has worked with thousands of your peers to build the right data infrastructure for their organizations.
From those engagements, we have curated these best practices to help you get started.

Phase 1

Phase 2

Prework: Discovery, Identify Stakeholders
and Executive Sponsorship

Strategy
and Goals Definition

This may seem like an obvious first step, but waiting until the end

This is the most crucial phase. This up front planning will allow youof a scoping project to identify stakeholders, understand their

to set expectations with your key stakeholders, minimize scopepriorities and get their buy-in can derail even the best plans.

creep, and accelerate implementation throughout the project.

• Make sure you know the business objectives for the next one to three• Business Goals—How does the data strategy tie into the company’s businessyears. Tie your high-level objectives into the business strategy.
• Identify goals and “wish lists” with application owners, data
scientists, operational teams, and other stakeholders• Identify and engage critical Decision-makers—Direct management,
up to CFO as needed—not with detailed strategy yet, but tounderstand business goals better and gauge executive interest.
• Designate an executive sponsor and an additional
champion (such as a business owner).

12

objectives? How will an investment in a modern data platform drive thecompany to strategically differentiate, grow revenue, and/or drive efficiency?
• Architectural Strategy—How will you evaluate deploying thedata platform across a hybrid cloud environment. Where will you
develop? Where will you test? Where will you run production?
• Project Strategy—What are your time frames? Build out a high level schedule.
Who is on the main project team? Start identifying the key team members.

The Future of Storage

Introduction

01 Shaky Ground

02 Old Ideas

03 New Principles

04 Benefits

05 Pure Storage

06 Getting Started

Phase 3Phase 4Current Infrastructure Assessment

Removing Roadblocks to Success

Start by identifying the systems that can most benefit from

Here are some key questions to answer, especially when evaluating thestreamlining and a platform-based upgrade.

vendors and partners that will help turn your vision into reality.

• Discovery is important. Evaluating your current environment is critical.

• Consider the financial roadblocks to your project. What is the best way toSummary

Where is data siloed? What kind of systems capabilities currently

phase in your investments? Are providers that you are evaluating ready to go

exist? How are applications currently architected, and which ones

through thorough proof of concept testing (including onsite), to stand behind(existing and planned) benefit most from modernization?

their commitments? What is your evaluation strategy and proof of value plan?

• Start with the most acute pain points. Where are there performance or• What are your budgetary constraints? These can range from when otherreliability issues that are causing business disruption? Where does yourassets may be fully depreciated, to where there may be pressures on upfront

organization currently have technical debt? Where does the organization havecosts driving an interest in on-demand/as-a-service consumption?

resource/talent debt requiring a more streamlined approach to managementof systems? What are the true costs of running your legacy infrastructure?
• Think toward the future, especially around AI. For modern applications• Identify where the efficiencies and savings will come from in your investment.
How will data infrastructure consolidation unlock your siloed data? Where will it
streamline the management of your infrastructure or simplify post-investment

requiring high performance (for example, AI model training and RAG), do

support and service? Which providers can streamline data migrations andyou have the capabilities required to be successful? Do you understandcommit to an Evergreen approach where your investments never go obsolete?

what all the teams have planned, and what they will require?

• Anchor your champions and decision makers on total cost of ownership(TCO) vs simply the upfront costs. Will a solution help you reduce your data
center footprint or address resource challenges you have (due to overly complex
data management), or drive improved power and cooling efficiencies?
• Is any downtime associated with storage upgrades, even if you areconsuming it as a service? Or if you’re making a traditional infrastructure
purchase, will you be able to avoid storage rebuys when you need newcapabilities, performance, capacity, or efficiencies? All of these and moreare critical considerations for executives beyond upfront investment
costs and drive ongoing savings that will not only help in financial
justification, but also keep resources available for future innovation.

13

The Future of Storage

Introduction

01 Shaky Ground

02 Old Ideas

03 New Principles

04 Benefits

05 Pure Storage

06 Getting Started

Summary

Summary
Infrastructure went through a significant transformation over the last decadeand must undergo an even more significant one now with AI—as well as
continued focus on cybersecurity, risk and cost reduction, innovation, andsustainability. Data infrastructure is a crucial part of this transformation, andlegacy storage based on old ideas is not up to these new challenges.
It’s time for a new approach. Data storage that isn’t designed from the ground up to
tackle these new issues will hold you back during this transformation and during thetransformations to come. The Pure Storage platform was designed for the challenges
you’re facing today, and more importantly, for the challenges of tomorrow—to power you successfully through the changes, so your organization can thrive.
To learn more about how your peers are responding to thesechallenges, please read the summary. For more information andideas on your own data future, visit us at our website.
ɿ Learn more about the Future of Storagepurestorage.com

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