Everpure, Inc. · NYSE:P

Everpure — Investor Day (September 2026)

54 slides from Everpure's investor day presentation, Sep 23, 2026

Slide 2: Forward Looking Statements and Non-GAAP Information
Forward Looking Statements and Non-GAAP Information This presentation contains forward-looking statements regarding our products, business, operations and financial performance, including but not limited to our views relating to our future period financial and business results, including our expecta
Slide 3: Opening and introductions
Opening and introductions Paul Ziots Vice President Investor Relations © 2026 Everpure | Financial Analyst Day
Slide 4: Agenda
Agenda TECHNOLOGY DEEP-DIVES Live webcast · 9:00–11:05am MAIN SESSION Live webcast · 12:00–2:40pm 9:00am Doors open for a light breakfast 12:00pm Everpure strategy overview & expanding our opportunity 9:30am Opening & introductions Charles Giancarlo, Chairman and CEO Paul Ziots, Vice President Inves
Slide 6: Data primacy: Data management strategy for the AI era
Data primacy: Data management strategy for the AI era Prakash Darji General Manager, DDX Ashish Gupta General Manager, Data Management © 2026 Everpure | Financial Analyst Day
Slide 7: Everpure is increasing our value & leverage within enterprises
KEY TAKEAWAYS Everpure is increasing our value & leverage within enterprises 01 Everpure is focused on helping customers maximize the value of data in the world of AI while solving data integration costs and challenges 02 Everpure’s right to play comes from the proven NPS and trust of serving missio
Slide 8: What is the biggest data management challenge?
What is the biggest data management challenge? Prior to AI Post AI Transactional Transactional MDM MDM Apps / Databases Apps / Databases Data Agents Analytics / Integration Analytics / SaaS Apps SaaS Apps Lakehouses Lakehouses Data Integration associated costs are Agents need shared context across s
Slide 9: Environments weren't architected for AI / Data primacy makes your architecture ready for AI
Environments weren’t Data primacy makes your architected for AI architecture ready for AI Fragmented context Shared context Multiple platforms with partial views of Data understood universally across all data mean multiple teams, tools, and applications and silos support contracts Data movement tax
Slide 10: Data primacy…
Data primacy… Reduces Reduces Increases Reduces Optimizes your data data data cyber-attack token integrations copies coherence surface spend © 2026 Everpure | Financial Analyst Day
Slide 11: Four fundamental long-term beliefs about data
Four fundamental long-term beliefs about data Lead to storage & data management becoming more tightly integrated 01 02 03 04 Data will be Business logic Context will be Shared context distributed as data stored with data needed for AI Data Data Data Data Data Data Data Data Data Data Data + Context
Slide 12: Enterprises must own their own data
Enterprises must own their own data Data sovereignty is about ownership, not location A STORAGE PROBLEM A DATA PROBLEM THE MORE VALUABLE AI BECOMES Data Residency Data Sovereignty The more valuable control of the Where does the data sit? Who owns it? underlying data Which performance tier / array is
Slide 13: Traditional competitors are working against data sovereignty
Traditional competitors are working against data sovereignty “Bring all of your Full workflows & functionality “Use all of your data, data to me” where it sits” Hyperscalers Apps & SaaS Everpure’s strategy vendors ● Data Sovereignty is a north star Analytics & ● Broad interop with ecosystem Lakehous
Slide 14: What is data intelligence?
What is data intelligence? Understand the Data Universal Data Intelligence Govern the Data SaaS Apps Mainframe Store the Data Everpure Data Other Data Discover Classify Contextualize Finding and Identifying and Adding information about connecting to data labeling metadata business purpose, meaning a
Slide 15: Data intelligence already works where the data already sits
CIO · INSTALLED BASE Data intelligence Infrastructure that already works where acts on meaning the data already sits Classification drives placement, protection and tiering automatically through Fusion and Pure1 Expansion of accessible budget as relevance of data intelligence exists for multiple per
Slide 16: Key customer use-cases: data intelligence adopted at large enterprises
Key customer use-cases: 14,000 databases scanned in under two weeks Data intelligence Global 100 card and payment leader. DSAR time cut from days to minutes. already adopted at large enterprises in regulated industries 91M card records found unprotected, then fixed across all personas National payme
Slide 17: Everpure's EDC is the key leverage to serve the data that matters most
Everpure’s EDC is the key leverage to serve the data that matters most Most companies come at the AI data problem from unstructured content, analytics or models. We start from the mission-critical systems of record. 01 02 03 Enterprise trust, Mission-critical, Unified data measured today plane 84 ~6
Slide 18: Better together: Storage and data compound
Better together: Storage and data compound A better together platform solving both data residency and data sovereignty Storage DATA LEVERAGE Total visibility gives Everpure a view of Share of Wallet and PERSONA EXPANSION allows us to move workloads to Everpure more seamlessly THREE BUDGETS, ONE SCAN
Slide 19: Data primacy roadmap starts with data intelligence
Data primacy roadmap starts with data intelligence …and storage management benefits from data intelligence to provide data residency STORAGE MANAGEMENT Guaranteed Standardize CIO Data sovereignty Run all SLAs without & automate Journey workloads management config overhead and data residency CISO Jou
Slide 20: Key outcomes from Everpure
Key outcomes from Everpure SOVEREIGNTY USE CASES RANSOMWARE USE CASES AGENT POLICY USE CASES AI USE CASES Secure data Detect anomalies Deliver high AI quality & enclaves & verify data availability data GPU efficiency integrity to agents © 2026 Everpure | Financial Analyst Day
Slide 21: Everpure is increasing our value & leverage within enterprises
KEY TAKEAWAYS Everpure is increasing our value & leverage within enterprises 01 Everpure is focused on helping customers maximize the value of data in the world of AI while solving data integration costs and challenges 02 Everpure’s right to play comes from the proven NPS and trust of serving missio
Slide 22: Building the foundation for Enterprise AI
Building the foundation for Enterprise AI Chadd Kenney Vice President of Product Management © 2026 Everpure | Financial Analyst Day
Slide 23: Unify, Control, Optimize
UNIFY CONTROL OPTIMIZE One platform for Autonomy across the Optimize AI data Enterprise Core + AI data estate and workflows Expand platform value → Scale through autonomy → Improve AI economics © 2026 Everpure | Financial Analyst Day
Slide 24: One platform for Enterprise Core + AI
One platform for Enterprise Core + AI AI expands the value of a platform already deployed across the enterprise © 2026 Everpure | Financial Analyst Day
Slide 25: AI makes a fragmented data estate increasingly unsustainable
AI makes a fragmented data estate increasingly unsustainable Every system is a silo: its own console, policies, SLAs, and tools. No centralized management, compliance, or governance Mission-critical apps Modern applications Analytics and pipelines Files and backup Databases · ERP · OLTP Cloud native
Slide 26: The opportunity is to manage data, not storage
The opportunity is to manage data, not storage Remove the need for customers to manage storage, so they can start managing their data Data Management Future innovation Understanding, organizing, and Data context / meaning Discover Classify Contextualize optimizing data to get it AI ready with contex
Slide 27: Enterprise data cloud brings the entire data estate together
Enterprise data cloud brings the entire data estate together UNDERSTAND Context and meaning Enterprise-wide data context and understanding Data Intelligence where governance follows the data CONTROL Autonomous governance Apply intent and governance to data, to stop Intelligent Control Plane managing
Slide 28: One unified data plane extends our value to AI
One unified data plane extends our value to AI Covering every enterprise use case with a wide range of performance and economics from Archive to AI ENTERPRISE APPLICATIONS CORE AI Databases Apps Logs Analytics Images Prepare Train Retrieve Infer Agents Unified data plane Scale-Up Scale-Out EXA-Scale
Slide 29: Evergreen is a subscription to innovation
Evergreen is a subscription to innovation Systems never get old; they get the newest innovation in place. You cannot build a unified data plane on a shaky foundation Data intelligence Always modern, never down Hardware and software upgrades without Intelligent control plane downtime or migration kee
Slide 30: DirectFlash delivers industry-leading density, reliability and efficiency
DirectFlash delivers industry-leading density, reliability and efficiency Efficiency improvements compound across every terabyte on the platform and every generation of flash DATA ESTATE GROWTH Petabytes → Exabytes Annualized failure rate by quarter Off-the-shelf SSD DirectFlash 150 TB 300 TB+ Direc
Slide 31: Autonomy across the data estate
Autonomy across the data estate As AI increases complexity, Fusion allows software value to scale faster than operational overhead © 2026 Everpure | Financial Analyst Day
Slide 32: Fusion turns intent into autonomous action
Fusion turns intent into autonomous action Intent, autonomy, and governance delivered through Fusion. Value scales with the fleet and software, rather than with customer administrative headcount Define Intent Intent, policy, protection, placement, and service levels are declared once, for the Expres
Slide 33: Context and governance follows the data
Context and governance follows the data FOLLOWS THE DATA Context, policy, and access follow the data wherever it Service level goes, so the infrastructure can manage it autonomously Metadata through intent Identity INTENT, EXPRESSED ONCE Policy “This dataset must remain in Germany.” Protection state
Slide 34: Data context + storage context creates more intelligent control
Data context + storage context creates more intelligent control The control plane knows the policies. Data Intelligence knows the meaning. Both accumulate in one platform, on data that is already there. Storage Context Data Context Governance and application awareness the Intelligent Control Plane M
Slide 35: Fusion adoption expands software value across our installed base
Fusion adoption expands software value across our installed base New capabilities arrive through the existing Evergreen software relationship. Software distributes faster than hardware. 2,300+ customers enabled with Fusion / Enterprise Data Cloud 2x adoption doubled in 6 months 80% Fusion has delive
Slide 36: Evergreen//One turns growth into recurring consumption
Evergreen//One turns growth into recurring consumption Customers define the outcome. Everpure operates and evolves the infrastructure. Unpredictable data and AI growth becomes recurring consumption rather than a one-time infrastructure forecast. //One Declares the outcome Deliver the SLA Scales with
Slide 37: Evergreen removes the need to predict the technology
Evergreen removes the need to predict the technology. Evergreen//One removes the need to predict the demand. © 2026 Everpure | Financial Analyst Day
Slide 38: Optimize AI data and workflows
Optimize AI data and workflows Move beyond storing AI data to improving the performance and economics of AI itself © 2026 Everpure | Financial Analyst Day
Slide 39: Enterprise data becomes the foundation for AI
Enterprise data becomes the foundation for AI Core AI is another set of workloads on the same Enterprise Data Cloud. The proprietary data it depends on is already there. The data AI needs is already on the platform Performance Enterprise Concurrency Enterprise AI applications Resiliency No additiona
Slide 40: We move beyond storing AI data to improving AI economics
We move beyond storing AI data to improving AI economics Data Stream activates the data. KVA activates the data platform inside the AI runtime. Data Stream Key Value Accelerator Activate the data Optimize the runtime AI ready data Up to 20x faster inference Less data movement Lower GPU consumption G
Slide 41: A platform unlike anything else in the industry
A platform unlike anything else in the industry Enterprise AI requires a data foundation that can unify the estate, control it autonomously, and optimize how AI uses data UNIFY CONTROL OPTIMIZE Growth of Scale Improve the platform software value AI economics Enterprise Core + AI on one architecture
Slide 42: Meet FlashBlade//EXA. More AI. Less waiting.
Meet FlashBlade//EXA. More AI. Less waiting. Rob Lee Chief Technology and Growth Officer © 2026 Everpure | Financial Analyst Day
Slide 43: AI-attached storage demand is set to grow ~1.6x by 2030
AI-attached storage demand is set to grow ~1.6x by 2030 CORE AND AI STORAGE* TAM, $B 12% CAGR SHIFT FROM TRAINING TO INFERENCE 2026 Inference 50% Training 50% $88B $55B Inference 60% Training 40% 2030 2026 2027 2028 2029 2030 Share of AI storage demand by workload Agentic AI drives inference growth
Slide 44: Storage is a hidden bottleneck in the GPU race
Storage is a hidden bottleneck in the GPU race Where the focus has been: Where the challenges really are: GPU Deployment GPU Utilization Most AI clusters run • Stability and reliability below 85% GPU • Securing GPU supply utilization because • Securing surrounding equipment • Data and tenant onboard
Slide 45: Performance and consistency, under load
Performance Data gravity and consistency, Multi-petabyte training sets must live close to GPUs without becoming siloed. under load Multimodal and concurrency Legacy parallel file systems are complex and were designed for legacy HPC. Modern AI is dynamic, multimodal, highly concurrent. At-scale is wh
Slide 46: FlashBlade//EXA: metadata and data scale independently
FlashBlade//EXA: metadata and data scale independently METADATA PERFORMANCE Key-value database on FlashBlade GPU COMPUTE CLUSTER • Highly consumable metadata • Native NFS solution, no database • Scale to trillions of files SCALE Grow each component as needed • 1 TB/s to 50 TB/s • 100 PB to multiple
Slide 47: Performance driven by software
Performance driven by software KEY CHALLENGES PURE’S APPROACH SINCE DAY 1 Scaling metadata as KV-store based metadata performance and capacity scales Purity Metadata Engine Optimized for maximum parallelism and properties of Flash. Key-Value Much focus is placed on data transfer rates, but metadata
Slide 48: Software performance, unlocked by unique hardware
Software performance, unlocked by unique hardware FlashBlade//S FlashBlade//EXA High-performance storage for enterprise AI Extends FlashBlade to highest-scale AI training. Purity Software, Proven AI leadership, serving 100’s of AI customers on massive scale-out open architecture GPU Compute Data and
Slide 49: Delivering real results
Delivering real results Decreased TCO Resilient performance Massive scale 58% lower #1 10,000+ Including 25% lower power and cooling, In performance benchmarks versus the closest GPUs supported, from enterprises to neoclouds 75% lower administration competitors, MLPerf and SPECstorage Faster innovat
Slide 50: FlashBlade//EXA: The #1 AI Storage Platform in MLPerf v3.0
FlashBlade//EXA The #1 AI Storage Platform in MLPerf® v3.0 #1 877 GiB/s 85,736 tok/s in EVERY checkpointing peak checkpoint write throughput KV-cache throughput & KV-cache metric submitted 1T model, 30 data nodes Llama 3.1 8B, storage-only Closed Division (Standardized) MLPerf Storage v3.0, Closed d
Slide 51: AI-native Neocloud removes the storage ceiling
AI-native Neocloud removes the storage ceiling BEFORE WITH FLASHBLADE//EXA GPU Servers ... ... GPU servers Caching layer Data and metadata FlashBlade//EXA Large multi-PB Redis clusters Scalable metadata & data, file/object store for metadata performance and capacity Limited to 30–40 GB/s 100+ GB/s p
Slide 52: Combined Q&A
Combined Q&A Prakash Darji General Manager, DDX Ashish Gupta General Manager, Data Management Chadd Kenney Vice President of Product Management Rob Lee Chief Technology and Growth Officer © 2026 Everpure | Financial Analyst Day
Slide 53: Please join us for lunch.
Please join us for lunch. Programming will resume at 12:00pm PT. © 2026 Everpure | Financial Analyst Day

Everpure — Investor Day (September 2026) on 6ix

Everpure — Investor Day (September 2026)

Slide 1: Financial Analyst Meeting 2026

Slide 2: Forward Looking Statements and Non-GAAP Information

Slide 3: Opening and introductions

Slide 4: Agenda

Slide 5: Welcome

Slide 6: Data primacy: Data management strategy for the AI era

Slide 7: Everpure is increasing our value & leverage within enterprises

Slide 8: What is the biggest data management challenge?

Slide 9: Environments weren't architected for AI / Data primacy makes your architecture ready for AI

Slide 10: Data primacy…

Slide 11: Four fundamental long-term beliefs about data

Slide 12: Enterprises must own their own data

Slide 13: Traditional competitors are working against data sovereignty

Slide 14: What is data intelligence?

Slide 15: Data intelligence already works where the data already sits

Slide 16: Key customer use-cases: data intelligence adopted at large enterprises

Slide 17: Everpure's EDC is the key leverage to serve the data that matters most

Slide 18: Better together: Storage and data compound

Slide 19: Data primacy roadmap starts with data intelligence

Slide 20: Key outcomes from Everpure

Slide 21: Everpure is increasing our value & leverage within enterprises

Slide 22: Building the foundation for Enterprise AI

Slide 23: Unify, Control, Optimize

Slide 24: One platform for Enterprise Core + AI

Slide 25: AI makes a fragmented data estate increasingly unsustainable

Slide 26: The opportunity is to manage data, not storage

Slide 27: Enterprise data cloud brings the entire data estate together

Slide 28: One unified data plane extends our value to AI

Slide 29: Evergreen is a subscription to innovation

Slide 30: DirectFlash delivers industry-leading density, reliability and efficiency

Slide 31: Autonomy across the data estate

Slide 32: Fusion turns intent into autonomous action

Slide 33: Context and governance follows the data

Slide 34: Data context + storage context creates more intelligent control

Slide 35: Fusion adoption expands software value across our installed base

Slide 36: Evergreen//One turns growth into recurring consumption

Slide 37: Evergreen removes the need to predict the technology

Slide 38: Optimize AI data and workflows

Slide 39: Enterprise data becomes the foundation for AI

Slide 40: We move beyond storing AI data to improving AI economics

Slide 41: A platform unlike anything else in the industry

Slide 42: Meet FlashBlade//EXA. More AI. Less waiting.

Slide 43: AI-attached storage demand is set to grow ~1.6x by 2030

Slide 44: Storage is a hidden bottleneck in the GPU race

Slide 45: Performance and consistency, under load

Slide 46: FlashBlade//EXA: metadata and data scale independently

Slide 47: Performance driven by software

Slide 48: Software performance, unlocked by unique hardware

Slide 49: Delivering real results

Slide 50: FlashBlade//EXA: The #1 AI Storage Platform in MLPerf v3.0

Slide 51: AI-native Neocloud removes the storage ceiling

Slide 52: Combined Q&A

Slide 53: Please join us for lunch.

Slide 54: © 2026 Everpure | Financial Analyst Day