DOCN Q2 2026 Earnings Presentation

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Q2 2026 Earnings Presentation August 4, 2026

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Safe Harbor Statement This presentation contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements regarding our financial outlook and the expected launch and operating capacity of our data centers. These statements are subject to known and unknown risks, uncertainties, assumptions, and other factors that may cause actual results or outcomes to be materially different from any future results or outcomes expressed or implied by the forward-looking statements. These risks, uncertainties, assumptions, and other factors include, but are not limited to: (1) fluctuations in our financial results make it difficult to project future results; (2) our ability to sustain profitability in the future; (3) our ability to expand usage of our platform by existing customers and/or attract new customers and/ or retain existing customers; (4) the speed at which the market for our platform and solutions develops; (5) the success of the development and use of our artificial intelligence and machine learning (AI/ML) product offerings or use of third-party AI/ML-based tools; (6) our ability to release updates and new features to our platform and adapt and respond effectively to rapidly changing technology or customer needs; (7) our ability to control costs, including our operating expenses, and the timing of payment for expenses; (8) the amount and timing of non-cash expenses, including stock-based compensation, goodwill impairments and other non-cash charges; (9) breaches in our security measures allowing unauthorized access to our platform, data, or customers' data; (10) the competitive markets in which we participate; (11) our ability to effectively integrate and retain new members of our executive leadership team and senior management; (12) the effects of acquisitions and their integration; (13) general market, political, economic, and business conditions, including changes in trade policies, such as trade wars, tariffs and other restrictions or the threat of such actions; (14) the impact of new accounting pronouncements; (15) our ability to control fraudulent registrations and usage of our platform, reduce bad debt and lessen capacity constraints on our data centers, servers and equipment; (16) our customers' ability to have continued and unimpeded access to our platform, including as a result of evolving laws and industry standards; and (17) our plans with respect to accelerating investments in data centers and GPU capacity. Further information on these and additional risks, uncertainties, assumptions and other factors that could cause actual results or outcomes to differ materially from those included in or contemplated by the forward-looking statements in this presentation are included under the caption “Risk Factors” and elsewhere in our Annual Report on Form 10-K for the year ended December 31, 2025 and subsequent filings and reports we make with the SEC. We operate in a very competitive and rapidly changing environment. New risks and uncertainties emerge from time to time, and it is not possible for us to predict all risks and uncertainties that could have an impact on the forward-looking statements contained in this presentation. The results, events and circumstances reflected in the forward-looking statements may not be achieved or occur. The forward-looking statements in this presentation relate only to events as of the date on which the statements are made. We assume no obligation to, and do not currently intend to, update any such forward-looking statements after the date hereof. 2026 DigitalOcean. All rights reserved 2

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Inference T raction 2 Inference services grew nearly 800% year over year as AI Natives scale production workloads on our platform AI Native Cloud Flywheel 3 Our five-layer platform is becoming a flywheel: 80+ releases since April, and every layer adopted pulls customers into the next Disciplined Execution 4 Delivered 40% adjusted EBITDA margins while deploying new capacity on or ahead of schedule and reducing leverage Accelerating Growth Rate 1 Revenue grew 29%, more than double a year ago, with record incremental ARR and strong profitability Accelerating Growth, Disciplined Execution 2026 DigitalOcean. All rights reserved 3

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2026 DigitalOcean. All rights reserved 4 Record Q2 Revenue Results & Strong Profitability 4 $281M Q2 Revenue 29% Y o Y $93M 191% Y o Y Incremental ARR 40% Q2 Adjusted EBITDA Margin 17% TTM Adjusted FCF Margin 24% Q2 Adjusted Operating Income Margin Note: Refer to the Appendix for definitions of metrics and reconciliations of Non-GAAP measures to GAAP.

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% of total ARR 23% 35% 13% 26% 9% 23% Q2 2025 Q2 2026 $100K+ Customer ARR($M) Note: Refer to the Appendix for definitions of customer categories, customer count and ARR metrics and our Form 10-Q filed with the SEC for a description of our prior methodology. Prior periods have been recast using our current methodology. Certain growth rates may not recalculate precisely to numbers shown due to rounding. 2026 DigitalOcean. All rights reserved 5 $1M+ Customer ARR Reached $259M, Growing 214% Y o Y $500K+ Customer ARR($M) Q2 2025 Q2 2026 $1M+ Customer ARR($M) Q2 2025 Q2 2026 +98% +160% +214% 5

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Note: Refer to the Appendix for definitions of AI Customers and AI Customer ARR. Core Cloud includes: VM, VPC, Storage, High Performance NFS. CPU Kubernetes & Droplets. Inferences Services includes: all non bare metal inference capabilities. 2026 DigitalOcean. All rights reserved 6 AI Customer ARR Reached $234M, Growing 212% Y o Y Q2 YoY ARR Growth Bare Metal Inference Services Core Cloud T otal AI Customer ARR($M) % Non Bare-metal 43% 61% 70% 81% 85%

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Key updates since April 2026 DigitalOcean. All rights reserved 7 DigitalOcean AI-Native Cloud Inference Engine has become a full production runtime solving today’s most pressing needs Managed Agents Open harness · Agent sandboxes · Tools· State· Planning Web search · MCP calling · Function calling · Knowledge retrieval Data & Learning DBaaS· Advanced Edition (PG/MySQL) · Knowledge Bases · Weaviate Inference Engine Serverless Dedicated BYOM Inference Router Prompt caching Continuous batching Model evaluations Model synthesis Model Catalog Guardrails Workload-aware scheduling Server-side tools Observability & insights Autoscaling & load balancing Quantization (4-bit / 8-bit) Speculative decoding KV-cache optimization Kernel optimization Cloud Primitives Kubernetes · Droplets (CPU & GPU) · VPC· Storage (object, block & file) · High performance NFS Infrastructure 20 data centers, liquid-cooled · NVIDIA: H100, H200, HGX B300 · AMD Instinct™: MI300X, MI350X, MI355X

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2026 DigitalOcean. All rights reserved 8 Rapid Innovation Across All AI-Native Cloud Layers 80+ product releases since April ‘26 Managed Agents Data & Learning Inference Engine Cloud Primitives Infrastructure Selected externally announced launches and availability milestones since Deploy (late April 2026) — not the full platform capability list. •AI-Native Cloud & Inference Engine launch •Dedicated Inference GA •Inference Router (public preview) •Unified Batch Inference •Prompt Caching (public preview) •Model Catalog & BYOM GA •Server-Side Tools (public preview) •Model Synthesis (public preview) •Model Evaluations •Multimodal Serverless Inference •Guardrails •Kernel Optimization Model additions (29+): DeepSeek V3.2, DeepSeek V4 Pro, DeepSeek V4 Flash, Kimi K2.6, Kimi K3, GLM-5.1, GLM-5.2, GLM-B.2, Gemma 4, Qwen3 Coder Flash, Qwen3 Embedding 0.6B, Qwen 3 TTS (1.7B), Qwen 3.5 397B A17B, Llama 4 Maverick 17B 128E, NVIDIA Nemotron 3 Nano Omni, NVIDIA Nemotron 3 Ultra, Nemotron Nano 12B v2 VL, Claude Opus 4.7, Claude Sonnet 5, Claude Fable 5, Claude Opus (5), GPT Image 2, GPT-5.5, GPT 5.6 Sol, Terra, Luna, Stable Diffusion 3.5 Large, MiMo V2.5, MiMo V2.5 Pro. •OpenCode integration •Grok Build marketplace integration •Codex in the Cloud / DigitalOcean for Codex •Server-Side Tools for agentic applications •Knowledge Bases •Managed MySQL Advanced •Security Posture Management · Private Droplets GA · GPU-ready Kubernetes hardening with automatic node remediation •New York backbone upgrade to 1.6 Tbps · Droplets (CPU & GPU) · VPC · Storage (object, block, and file) •High-performance NFS •Managed Weaviate •DBaaS available across regions •Managed PostgreSQL Advanced •Vector databases portfolio •20 data centers · NVIDIA: H100, H200, HGX B300 · AMD Instinct: MI300X, MI350X, MI355X •Liquid-cooled AI infrastructure · High-speed networking foundation

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The AI-Native Cloud Flywheel Every layer a customer adopts pulls them into the next 2026 DigitalOcean. All rights reserved 9 Inference Engine Managed Agents Data & Learning Cloud Primitives More consumption Higher utilizationLower cost to serve Better price-performance ADOPTION UNIT ECONOMICS Five Layers One Integrated Platform Owned Infrastructure Compounding on infrastructure we own

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2026 DigitalOcean. All rights reserved 10 AI Builders Are Spinning The Growth Flywheel Leading LLM routing marketplace connecting millions of developers to models across the AI ecosystem Channel for DigitalOcean: Millions of developers and agents across the ecosystem reaching our Inference Engine on demand Open-source AI coding agent used by over 7.5M developers monthly to build, test, and ship software autonomously Built on DigitalOcean for: T rillions of open-weight model tokens delivered by an enterprise-grade, private inference engine Secure AI sandbox platform for running AI-generated code and autonomous agent workflows Built on DigitalOcean for: GPU Sandboxes for CUDA-accelerated workloads, with custom environments deployed as isolated compute in milliseconds Agentic infrastructure platform where humans and agents ship software together Built on DigitalOcean for: Integrating DigitalOcean’s inference engine into their AI Gateway to provide their premier customers dedicated AI resources

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Serving AI-Natives with one integrated platform, purpose built for agentic applications 2026 DigitalOcean. All rights reserved 11 DigitalOcean Competitive Advantage Hyperscalers Large enterprises & frontier labs Neoclouds Optimized for training clusters Inference Providers Optimized for inference layer only Managed Agents Native agent runtime Sandboxes, evals, observability Built for agents DIY across services Optimized for large enterprises No agent layer Separate vendor needed No agent layer Separate vendor needed Data and Learning Integrated data layer Knowledge Bases, DBs, RAG-ready Data becomes learning 20+ DB options Powerful, but assembly required No data layer Separate vendor needed No data layer Separate vendor needed Inferencing Full-stack inference services Router, Synthesis, Evals, Batch, Caching — 75+ models, one API ~800% YoY growth Bedrock / Vertex / Foundry Strong, within their own ecosystem Self-managed on bare metal Some software, mostly via acquisitions Strong token serving Per-token pricing on rented GPUs Cloud Primitives Complete core cloud CPU/GPU, managed K8s, storage, network 70% of $100K+ AI customers attach Broadest portfolio Built for enterprise scale and complexity Strong GPU farms, limited cloud Few managed services No cloud primitives Compute and storage live elsewhere Infrastructure 20 global data centers, owned ~155MW committed capacity Owning the stack lowers cost to serve Hyperscale footprint Built for the largest workloads Mega-scale training DCs Built for hyperscaler offtake deals Mostly rented capacity Margins stacked on margins Strength Partial Gap 2026 DigitalOcean. All rights reserved 11

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Adding capacity while maintaining strong and flexible balance sheet Disciplined Execution 2026 DigitalOcean. All rights reserved 12 155MW Committed Capacity ● ~60MW secured in Q1 across 4 new sites, ramping through 2027 ● ~20MW incremental secured in Q2, expected to come online late 2027 and early 2028 Strong Balance Sheet ● $472M 2030 converts retired ● 0.7x pro forma net leverage(1) ● $1.2B total liquidity ● No material debt maturities New York Richmond · NEW Atlanta Toronto San Francisco Kansas City · NEW Memphis · NEW London Amsterdam Frankfurt Bengaluru Singapore Sydney ● Existing ● New in 2026 Continuing to actively pursue incremental capacity 20 data centers, 200+ Network PoPs Note: Refer to the Appendix for definitions of metrics and reconciliations of Non-GAAP measures to GAAP. (1)Q2 ending Net Leverage pro-forma for $472M debt reduction.

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Accelerating Growth With Strong Profitability 2026 DigitalOcean. All rights reserved 13 2Q23 Revenue($M) 2Q24 2Q25 2Q26 $1M+ Customer ARR($M) 2Q23 AI Customer ARR($M) 2Q24 2Q25 2Q262Q23 2Q24 2Q25 2Q26 2Q23 Adjusted EBITDA($M) & Margin 2Q24 2Q25 2Q26 TTM Adjusted Free Cash Flow($M) & Margin 2Q23 2Q24 2Q25 2Q26 29% 214% 212% 27% 47% Adjusted Operating Income ($M) & Margin 2Q23 2Q24 2Q25 2Q26 9% Note: Refer to the Appendix for definitions of metrics and reconciliations of Non-GAAP measures to GAAP. 13

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2026 DigitalOcean. All rights reserved 14 Strengthened Balance Sheet T o Create Capacity For Growth T ransaction Overview Balance Sheet Implications Repurchased ~$472M principal of 0.00% 2030 convertible notes Funded by concurrent registered direct offering 0.7x pro-forma Net Leverage(1) Ample leverage capacity to support equipment financing $1.1B T otal Liquidity + increased debt capacity $767M cash + $407M undrawn revolver Minimal impact to cash Cash on hand used for transaction fees and will be used for planned share repurchases Minimal dilution Shares issued largely offset by shares underlying retired notes; Incremental shares to be repurchased under existing authorization; diluted share count essentially unchanged No material debt maturities 2026 converts to be retired at maturity Note: Refer to the Appendix for definitions of metrics and reconciliations of Non-GAAP measures to GAAP. (1)Q2 ending Net Leverage pro-forma for $472M debt reduction.

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Metric Q3 2026 FY 2026 (as of 5/5) FY 2026 (as of 8/4) FY Delta (at midpoint) Revenue ($M) $304 - $307 $1,130 - $1,145 $1,170 - $1,180 +37.5M Revenue Growth 32% - 34% 25% - 27% 30% - 31% +416bps Adjusted EBITDA Margin 38% - 39% 37% - 39% 38.5% - 39.5% +100bps Non-GAAP Diluted Net Income Per Share $0.28 - $0.30 $1.10 - $1.20 $1.35 - $1.40 +$0.225 Adjusted Free Cash Flow Margin N/A 9% - 12% 11% - 13% +150bps Non-GAAP Diluted Weighted Average Shares Outstanding 126M - 127M 118M - 119M 122M - 123M +4M 2026 DigitalOcean. All rights reserved 15 15 Raising 2026 Outlook Note: A reconciliation of non-GAAP outlook measures to corresponding GAAP measures is not available on a forward-looking basis without unreasonable effort due to the uncertainty regarding, and the potential variability of, expenses that may be incurred in the future, although it is important to note that these factors could be material to our results computed in accordance with GAAP.

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Appendix

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Q2 2025 Q3 2025 Q4 2025 Q1 2026 Q2 2026 Revenue (M) $218.7 $229.6 $242.4 $257.9 $281.2 Revenue Growth Y ear-over-year 14% 16% 18% 22% 29% ARR (M) $875 $919 $970 $1,032 $1,125 ARR Increase (M) $32 $44 $51 $62 $93 Adj. Operating Income (M) $62 $70 $64 $64 $67 Adj. EBITDA (M) $89.5 $99.8 $99.3 $104.6 $113.6 DNE Customer ARR % of total company ARR 59% 60% 62% 64% 67% $1M+ Customer ARR (M) $83 $104 $133 $183 $259 AI Customer ARR % of total company ARR 9% 11% 12% 16% 21% 2026 DigitalOcean. All rights reserved 19 Financial Highlights and Key Business Metrics Note: Refer to this Appendix for definitions of metrics and reconciliations of Non-GAAP measures to GAAP.

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2026 DigitalOcean. All rights reserved 20 Metrics Definitions Customers We calculate customer count as the average number of customers as of the last day of the month for each month in the most recent quarter. Customers are classified in the following categories based on the amount of their spend in a given month and individual customers may fall within different categories within a reporting period (customer spend in a month in whole dollars): ● DNE Customers: users that spend more than $500 in a month. ● $100K+ Customers: users that spend more than $8,333 in a month. ● $500K+ Customers: users that spend more than $41,667 in a month. ● $1M+ Customers: users that spend more than $83,333 in a month. ARR We calculate ARR by multiplying total revenue for the most recent quarter by four. AI Customers We define AI Customers as customers that utilize one or more of our AI-related products or infrastructure offerings during a given month. A customer is classified as an AI Customer in any month in which they incur revenue associated with AI-specific workloads, including but not limited to GPU-based infrastructure, AI platform services, model deployment, or other AI-optimized offerings. AI Customer ARR We calculate AI Customer ARR by multiplying total AI Customer Revenue for the most recent quarter by four. AI Customer Revenue is defined as the total revenue generated from customers who utilize one or more of our AI/ML offerings, inclusive of their revenue from our IaaS and PaaS/SaaS offerings during the period.

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2026 DigitalOcean. All rights reserved 21 Metrics Definitions Remaining Performance Obligation Remaining performance obligation (“RPO”) represents commitments in customer contracts for future services that have not yet been recognized in the condensed consolidated financial statements. RPO is not necessarily indicative of future revenue growth because it does not account for the timing of customers’ consumption or their usage beyond their contracted capacity. Additionally, RPO may increase when customers transition from usage-based to commitment-based agreements, which does not always reflect incremental revenue growth. RPO is influenced by a number of factors, including the timing and size of renewals, the timing and size of purchases of additional capacity and average contract term. Due to these factors, it is important to review RPO in conjunction with revenue and other financial metrics contained in this release and elsewhere in our Annual Report on Form 10-K for the year ended December 31, 2025 and subsequent filings and reports we make with the SEC. Net Leverage We calculate net leverage as Net Debt divided by trailing-12-months (“TTM”) adjusted EBITDA. Net debt is calculated as outstanding principal of our 2026 Convertible Notes and 2030 Convertible Notes, and the total amount of our finance lease liabilities and equipment financing obligations, less cash and cash equivalents. TTM adjusted EBITDA is adjusted EBITDA for the most recent 12 consecutive months.

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2026 DigitalOcean. All rights reserved 22 Use of Non-GAAP Metrics This presentation includes certain non-GAAP metrics, which have not been prepared in accordance with generally accepted accounting principles in the United States (“GAAP”). These non-GAAP metrics are in addition to, and not as a substitute for, or superior to, financial measures calculated in accordance with GAAP. There are a number of limitations related to the use of these non-GAAP metrics versus their nearest GAAP equivalents. Other companies, including companies in our industry, may calculate non-GAAP metrics differently or may use other measures to evaluate their performance, all of which could reduce the usefulness of our non-GAAP metrics as tools for comparison. We urge you to review the reconciliation of our non-GAAP metrics to the most directly comparable GAAP financial measures, and not to rely on any single financial measure to evaluate our business. See this Appendix for a reconciliation between each non-GAAP metric and the most comparable GAAP measure and our press release dated August 4, 2026 for a definition of each non-GAAP metric not otherwise defined herein. Adjusted Operating Income and Adjusted Operating Income Margin Adjusted operating income is a non-GAAP financial measure that we define as operating income, adjusted to exclude stock-based compensation, amortization of acquired intangible assets, acquisition related compensation, acquisition and integration related costs, restructuring and other charges, restructuring related charges, impairment of certain long-lived assets and other charges. We define adjusted operating income margin as adjusted operating income as a percentage of revenue. Adjusted Free Cash Flow and Adjusted Free Cash Flow Margin Adjusted free cash flow is a non-GAAP financial measure that we define as net cash provided by operating activities less purchases of property and equipment, capitalized internal-use software costs, purchase of intangible assets, and excluding cash paid for restructuring and other charges, acquisition related compensation, restructuring related charges, and acquisition and integration related costs. Adjusted free cash flow margin is calculated as adjusted free cash flow divided by total revenue. Unlevered Adjusted Free Cash Flow and Unlevered Adjusted Free Cash Flow Margin Unlevered adjusted free cash flow is a non-GAAP financial measure that we define as adjusted free cash flow excluding cash paid for interest and interest income. Unlevered adjusted free cash flow margin is calculated as unlevered adjusted free cash flow divided by total revenue. TTM Adjusted Free Cash Flow and TTM Adjusted Free Cash Flow Margin TTM Adjusted free cash flow is Adjusted free cash flow for the most recent 12 consecutive months. TTM Adjusted free cash flow margin is calculated as Adjusted free cash flow for the most recent 12 consecutive months divided by total Revenue for the most recent 12 consecutive months.

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2026 DigitalOcean. All rights reserved 23 Adjusted Operating Income and Adjusted Operating Income Margin 1) For the three months ended June 30, 2024, primarily consists of executive reorganization charges. For the three months ended June 30, 2023, primarily consists of salary continuation charges.

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2026 DigitalOcean. All rights reserved 24 Adjusted EBITDA and Adjusted EBITDA Margin 1) For the three months ended June 30, 2024, primarily consists of executive reorganization charges. For the three months ended June 30, 2023, primarily consists of salary continuation charges. 2) For the three months ended for all periods presented, primarily consists of interest and accretion income from our cash and cash equivalents and marketable securities.

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2026 DigitalOcean. All rights reserved 25 Non-GAAP Net Income 1) For the three and six months ended June 30, 2026, excludes tax impact which is presented in Non-GAAP income tax adjustment. 2) For the periods in fiscal year 2026 and 2025, we used a tax rate of 16%, which we believe is a reasonable estimate of our long-term effective tax rate applicable to non-GAAP pre-tax income for each respective year. 3) Consists of non-cash interest expense for amortization of debt issuance costs related to our Convertible Notes.

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2026 DigitalOcean. All rights reserved 26 Non-GAAP Diluted Net Income per Share 1) For the three and six months ended June 30, 2026, excludes tax impact which is presented in Non-GAAP income tax adjustment. 2) For the periods in fiscal year 2026 and 2025, we used a tax rate of 16%, which we believe is a reasonable estimate of our long-term effective tax rate applicable to non-GAAP pre-tax income for each respective year. 3) Consists of non-cash interest expense for amortization of debt issuance costs related to our Convertible Notes. 4) May not foot due to rounding. 5) Excludes the in-the-money portion of our 2030 Convertible Notes for non-GAAP weighted-average diluted shares as they are covered by our capped call transactions. Our outstanding capped call transactions are antidilutive under GAAP, but are expected to mitigate the dilutive effect of our 2030 Convertible Notes, and therefore are included in the calculation of non-GAAP diluted shares outstanding. The capped calls have an antidilutive impact when the average stock price of our common stock in a given period is higher than their exercise price. 6) Includes 1,750 and 15,957 of potentially dilutive securities related to our 2026 and 2030 Convertible Notes, respectively, as if the entire principal amount outstanding were converted into shares for the three and six months ended June 30, 2026. Includes 8,403 of potentially dilutive securities related to our 2026 Convertible Notes as if the entire principal amount outstanding were converted into shares for the three and six months ended June 30, 2025. The Company has the election of settling any conversion in cash, shares of our common stock, or a combination of both. Refer to our Quarterly Report on Form 10-Q for the three months ended June 30, 2026 for further details.

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2026 DigitalOcean. All rights reserved 28 TTM Adjusted Free Cash Flow and TTM Adjusted Free Cash Flow Margin 1) For the periods ended June 30, 2023 through December 31, 2023, primarily consists of salary continuation charges and executive reorganization charges, including CEO search firm fees and other legal and professional service costs. For the periods March 31, 2024 through December 31, 2024, primarily consists of executive reorganization charges.

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2026 DigitalOcean. All rights reserved 30 1) On July 23, 2026, we repurchased $471,828 in aggregate principal amount of our 2030 Convertible Notes using the net proceeds from a concurrent registered direct offering of 12,543,915 shares of our common stock at $117.54 per share. Cash on hand was used to pay estimated transaction related fees. Upon completion, the repurchased notes were retired. Net Leverage

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