Everpure, Inc. · NYSE:P
Everpure — Pure Storage — Investor Day (June 2024)
49 slides from Everpure's investor day presentation, Jun 20, 2024
Slide 1: Pure//Accelerate 2024 Financial Analyst Meeting
Pure //Accelerate 2024 Financial Analyst Meeting >=
Slide 2: Forward Looking Statement
Forward Looking Statement This presentation contains projections and other “forward-looking” statements regarding our products, business and operations, including but not limited to our views relating to future period financial and business results, demand for our products and subscription services,
Slide 3: Welcome
Welcome Paul Ziots VP, Investor Relations
Slide 4: Agenda
Agenda Pure Storage Strategy Chairman and CEO, Charles Giancarlo Storage as-a-Service (Evergreen//One) Digital Experience General Manager, Prakash Darji AI Opportunity Chief Technology Officer, Rob Lee Hyperscale Bulk Storage Opportunity Hyperscale General Manager, Bill Cerreta The Next Era of Stora
Slide 5: Charles Giancarlo
Charles Giancarlo Chairman & Chief Executive Officer
Slide 6: Pure Storage At A Glance
Pure Storage At A Glance • FY24 Revenue: $2.83B • Q1FY25 Revenue: $693.5M • 18% Y/Y Growth 1 • Q1FY25 Subscription ARR: $1.45B 1 • 25% Y/Y Growth • Global Customers: 12,500+ 2 2 • Net Promoter Score: 82 NPS 3 10X ~61% • Highest in the Industry Gartner® Magic Quadrant™ Positioned as a Leader for of F
Slide 7: We Deliver Outcomes
2-5x* Less Power and Space 10x vs Existing Hard Disk Systems >10x More Reliable >10-30x Fewer Service Visits We Deliver 5-10x Less Labor to Operate Outcomes Automation-Driven Cloud Operating Model Products Are Never-Obsolete NPS: 82 Always-Improving, Non-Disruptively 50%+* Lower TCO *Competitive con
Slide 8: CY 2023 All-Flash Market Share
IBM 9.8% NetApp CY 2023 18.7% HPE 7.4% All-Flash Pure Storage Hitachi 6.0% Market Share 19.9% Huawei 5.7% Total Dell / EMC Others 27.5% 5.0% IDC Quarterly Enterprise Storage Systems Tracker ©2024 Pure Storage
Slide 9: Q1 2024 All-Flash Market Share
IBM 10.9% NetApp 20.5% Q1 2024 HPE 7.3% All-Flash Pure Storage 21.1% Market Share Hitachi 6.9% All Others Dell / EMC 5.3% 23.6% Huawei 4.3% IDC Quarterly Enterprise Storage Systems ©2024 Pure Storage
Slide 10: 10 Year Enterprise Storage Market Share
10 Year Enterprise Storage Market Share* IDC: Market Share Changes From 2013 Through 2023 vs. Selected Vendors 12% Net Gain / Loss Pure +11.1% 10% HPE** –0.0% 8% Hitachi -1.1% NetApp -3.4% 6% IBM -6.4% 4% Dell EMC –0.1% 2% 0% -2% -4% -6% -8% 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 Sou
Slide 11: Even if HDDs Were FREE, Pure's TCO is BETTER
Even if HDDs Were FREE, Pure’s TCO is BETTER 5 year TCO Comparison1 of 10PB Usable HDD HDD Cost DirectFlash HDD common Cost of product Common equipment & Equipment operating cost Labor, Breakfix & Disposal Operating cost Power, Space, Cooling FlashBlade//E Competitive HDD-based Array 1 based on inte
Slide 12: The Most Consistent Data Storage Platform
The Most Consistent Data Storage Platform Purity & DirectFlash for All Storage Protocols & Tiers + Cloud Block Store Scale Up Hybrid Cloud Scale Out Cloud Native Cloud Operating Model Block File Object Networked AI → Backup TeraBytes → PetaBytes → ExaBytes
Slide 13: Fusion Completes The Pure Data Storage Platform
Fusion Completes The Pure Data Storage Platform A Cloud of Storage! Managed Data Services! Data Multi-Cloud DC 1 DC 2 DC 3 Private Clouds Containers VMs Public Clouds IT Data Management User APIs APIs APIs Infrastructure Services Applications
Slide 14: Next Gen Fusion: First of Its Kind Storage Automation
Next Gen Fusion: First of Its Kind Storage Automation What’s is Fusion? Customer Benefits • Effortless management at scale • Labor savings • Simple fleet management • Automation, consistency • Networked cloud of storage • Cost & performance optimization • Automated provisioning • API, self-service •
Slide 15: Pure: Simplicity and Storage at Scale
Pure: Simplicity and Storage at Scale + Cloud Block Store Simple: • API & Policy Based, Programmable • Managed as an integrated Fleet Consistent: • Extensible (from AI to BackUp, from Commercial to HyperScaler) Networked: • Data Availability (for Inference, RAG) • Unequaled Storage as-a-Service
Slide 16: Our Platform Delivers Value for Current Challenges
Our Platform Delivers Value for Current Challenges AI-Ready Cyber Application Hybrid Cloud Infrastructure Resiliency Modernization Optimization Pure Storage Platform
Slide 17: New Nvidia DGX SuperPOD Certification
New Nvidia DGX SuperPOD Certification Turnkey, Certified Ethernet-based Standard Pure Storage Platform solution Simplifies Large Scale AI Installation Consistent with all Evergreen, Fusion Benefits and Deployment Run Inference and Training on Same Access data from any and all Pure Systems Pure Stora
Slide 18: Three Areas to discuss…
Three Areas to discuss… Storage as-a-Service Artificial Intelligence Hyperscalers
Slide 19: Storage as-a-Service: Evergreen//One Overview
Storage as-a-Service Evergreen//One Overview
Slide 20: Prakash Darji
Prakash Darji General Manager, Digital Experience
Slide 21: Evergreen//One: The Only True STaaS
Evergreen//One: The Only True STaaS Storage as-a-Service Container data management | Managed data services | Self-service provisioning | Storage on-demand | Business guarantees (SLAs) Effortless Management at Any Scale Global policy management | Self-managing | Autonomous modeling Simple Unified Inf
Slide 22: What is Storage as-a-Service (STaaS)?
What is Storage as-a-Service (STaaS)? On-demand, scalable storage delivered via subscription with automated management How you buy How you operate How you experience Pay for usage, scale Automated, no-touch Consistent high performance, up or down based on hardware management, seamless upgrades, and
Slide 23: What are my consumption options for watching a movie at home?
Think What are my consumption options for watching a movie at home? 01 02 03 Buy Rent Subscribe High upfront cost Pay-per-use for Monthly fee for (CapEx) for permanent temporary access with unlimited, on-demand ownership of each title no upfront cost access
Slide 24: Why is the market moving to Evergreen//One STaaS?
Why is the market moving to Evergreen//One STaaS? Flexibility Simplified operations Risk reduction Efficiency Avoids over Management SLAs + Resiliency SLAs Capital, energy, provisioning and Fusion for customer that place the risk and labor efficient rigid planning control burden on Pure
Slide 25: Customer momentum and success
Customer momentum and success By partnering with Pure, we can rapidly deploy whatever capacity we need and consume it as a service—that’s a massive game-changer for us – James Laming 2019 2024 ► One small subscription, ► 18PB of consumption delivered at a single site ► Expanded to dozens of sites di
Slide 26: Evergreen//One versus other 'on-demand' models
Evergreen//One versus other 'on-demand' models Other 'capacity on demand' models Non-Disruptive Long-Life Architecture ✔ 🗶 Evergreen Architecture Data migration at renewal Service definition ✔ 🗶 Subscription service by site “Box-on” rental or lease Simple contract ✔ 🗶 3 pages 100s of pages with…
Slide 27: Evergreen//One keeps getting better
Evergreen//One keeps getting better Enhancing management, efficiency, and resiliency SLAs SLAs & Commitments ► Performance ► Buffer capacity ► NEW Site Rebalance Management ► Uptime ► No data migration add-on ► UPDATED Lower PPR ► Energy efficiency Efficiency ► Paid Power and Rack Commitment (PPR) c
Slide 28: Evergreen//One for AI
Evergreen//One keeps getting better for new workloads Introducing Evergreen//One for AI Unified Block & File Unified File & Object Designed for (Structured) (Unstructured) any AI workload Evergreen//One for AI Ultra In Memory Ultra Database Inferencing EDA Oracle High SAP HANA Performance Tier 0 Dat
Slide 29: Evergreen//One for AI
Evergreen//One for AI Pipe Usage Demand 3X 2X 1X 000125 GPU FLOW Pay for Guaranteed Marginal Usage Rate GPUs Performance Throughout (cold storage rate) Never Idle
Slide 30: Evergreen//One: The Only True STaaS
Evergreen//One: The Only True STaaS For Traditional Workloads - VMs, Databases, & Unstructured Data + Emerging Workloads - AI & Modern Apps Storage as a Service Whatever Deployed Based on SLAs & Guarantees Storage Wherever UPDATED NEW You Need You Need It Block On-premises Performance Uptime Zero Da
Slide 31: AI Opportunity
Pure //Accelerate 2024 Al Opportunity >=
Slide 32: Rob Lee
Rob Lee Chief Technology Officer
Slide 33: Pure's AI Opportunities
Pure’s 3 AI Opportunities High Performance Storage to support AI AI 1 Model training Training All-Around Storage Needs to implement AI Deployment 2 Inference / RAG and connect to & Inference operational Data Modernize, unify and defragment storage Accelerant to 3 silos to make data more accessible t
Slide 34: Pure's AI Opportunities
Pure’s 3 AI Opportunities Typically hyperscaler, GPU clouds, Est1 ~$1B AI tech titans, advanced enterprise TTM Market Training and other specialized environments AI Deployment & Inference Early and Primary Enterprise Opportunities Growing Accelerant to Infrastructure Upgrades 1 on-premises AI-attach
Slide 35: Pure Serves Entire Range of AI Approaches
Pure Serves Entire Range of AI Approaches Foundation Model RAG / Inference Model Training Fine-Tuning Use the models Build the models Specialize the models General Model Specific Task General Data + + Domain-Specific Data Contextual Data Iterative Training + Iterative Training General Model General
Slide 36: Performance
Data Prep Model Data Ingest Checkpointing Inference & Selection Training Performance Read BW + Write BW + FileMetadata Operations + / Latency + Burst & Sustained Perf Pure’s Differentiator: SUSTAINED and ALL-AROUND performance for all phases of AI
Slide 37: Pure is the Only Complete Platform Ready for Mainstream AI
Pure is the Only Complete Platform Ready for Mainstream AI Performance Consolidated Container- Flexibility + Enterprise- Ready Ready
Slide 38: Customer Examples
Customer Examples Modernizing AI Training AI Inference Infrastructure for AI Large GPU Cloud Fortune 100 Retailer Top 20 Global Investment Firm ▶ Servicing a large-scale GPU farm ▶ Multiple AI use-cases: Training, LLM ▶ Modernizing infrastructure for environment and Video Inferencing, and RAG in-hou
Slide 39: Hyperscale Bulk Storage Opportunity
Hyperscale Bulk Storage Opportunity
Slide 40: Bill Cerreta
Bill Cerreta General Manager, Hyperscale
Slide 41: Hyperscalers buy most of the Hard Disk Drives
Hyperscalers buy most of the Hard Disk Drives * Nearline Hard disk drives (>98% of HDD capacity shipped) Source: TrendFocus CHESS CQ4-23 Quarterly Update - Long Term Forecast
Slide 42: Lower Power, Less Space, Less Waste
Lower Power, Less Space, Less Waste Hyperscale >3,000 GWh >60k sqm per year >200 tons of new HDDs incremental annual of data center space e-Waste every year - energy consumption just due to drive failures >270,000 homes’ >7 typical data 17 fully-loaded annual electricity centers garbage trucks consu
Slide 43: Pure Differentiators
Pure Differentiators DirectFlash Module QLC: 75TB -> 150TB and Beyond ● DirectFlash enables unprecedented density & efficiency ● HW/SW co-design delivers on the true promise of flash ● SSD architecture limits capacity while Pure scales beyond 150TB ● 10+ years of deep flash IP development ● Improves
Slide 44: Enabling DirectFlash Module Scaling
Enabling DirectFlash® Module Scaling Exascale HDD Replacement Flash for warm and cold hyperscale workloads has arrived Density > 5X less space > 5X less power > 40X better reliability 85% lower operating costs HDDs Today Time
Slide 45: Hyperscaler Customer Engagement Update
Hyperscaler Customer Engagement Update ● Value proposition is resonating with multiple prospective customers ● Engagement with lead prospect across multiple teams and functions ● Acute power constraints are forcing a change
Slide 46: Engagement Model and Competitive Advantages
Engagement Model and Competitive Advantages Co-development Model ● Partnering closely to tailor the solution and integrate ● Collaborations expected to be sticky and highly defensible as we deliver roadmap advances and expand workloads Competitive Edge ● Pure’s capacity roadmap far outstrips those o
Slide 47: Coz
Coz Founder & Chief Visionary Officer
Slide 48: Q&A
Q&A
Slide 49: Thank You
wa Thank You >=