DigitalOcean
DigitalOcean simplifies cloud computing and AI so builders can spend more time creating software that changes the world. It provides accessible cloud, AI, and ML infrastructure for developers, startups, and digital-native and small-to-medium-sized businesses.
At a Glance
- Individual developers and builders
- Startups
- Small and medium-sized businesses
- Digital-native enterprises
- +4 more
AI Tools by DigitalOcean
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DigitalOcean
AI Native Cloud for Developers
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Latest News
Introduced Agent Droplets, bundling an agent harness, sandbox, model access, and tools under one monthly price.
Launched Managed Agents, combining agent execution, tool access, and inference on one cloud.
Secured a $725 million equipment-financing facility to fund infrastructure capacity expansion.
Unveiled its AI-Native Cloud and launched the Inference Engine with Inference Router for production AI workloads.
Products & Services
On-demand Linux and GPU virtual machines with per-second billing and scalable configurations.
Fully managed platform for building, deploying, and scaling applications without managing infrastructure.
Managed Kubernetes with a free control plane, integrated networking, storage, and developer-friendly operations.
Managed PostgreSQL, MySQL, Redis/Valkey, MongoDB, and OpenSearch database services with backups, updates, and point-in-time recovery.
Market Position
DigitalOcean positions itself as a simpler, more predictable, developer-centric alternative to hyperscale clouds such as AWS, Microsoft Azure, and Google Cloud, while competing in AI infrastructure with GPU clouds and inference providers. Its differentiation is straightforward provisioning, transparent pricing, integrated managed services, community education, and an increasingly integrated AI-native stack for startups and digital-native enterprises rather than the breadth and complexity of hyperscalers.
Leadership
Founders
Ben Uretsky
Founding CEO and entrepreneur; previously co-founded and operated ServerStack, a managed hosting company, with his brother Moisey.
Moisey Uretsky
Technology entrepreneur and co-founder; previously co-founded ServerStack with Ben Uretsky and later helped lead DigitalOcean's product and technology direction.
Jeff Carr
Co-founder and early DigitalOcean team member with a background in technology and startup operations.
Alec Hartman
Co-founder with a background in business development, marketing, and startup growth.
Mitch Wainer
Co-founder and former Chief Marketing Officer; brought marketing and growth experience to DigitalOcean's early developer-focused go-to-market effort.
Executive Team
Paddy Srinivasan
Chief Executive Officer
Former CEO of GoTo; held leadership roles at Microsoft, Amazon, and Oracle; co-founded Opstera, acquired by Avanade.
Matt Steinfort
Chief Financial Officer
DigitalOcean's finance leader and CFO, responsible for financial strategy and investor reporting.
Board of Directors
Founding Story
DigitalOcean was started to meet developers' need for cloud computing that was simpler and more affordable than the incumbent alternatives. The founders entered Techstars in 2012 and built the first Droplet, an easy-to-use virtual machine that could be provisioned in minutes, with an initial focus on developers and small businesses.
Business Model
Revenue Model
Primarily usage-based cloud infrastructure and managed-service consumption, supplemented by monthly subscriptions, committed enterprise contracts, and managed hosting. Customers pay for compute time, storage, data transfer, database and platform services, GPU/inference usage, and agent/tool calls.
Pricing Tiers
Fully managed application deployment; higher tiers and usage charges apply.
Virtual machines with per-second billing and a 60-second minimum.
Managed Kubernetes worker resources; control plane is free.
Durable isolated sessions for coding agents.
Tool search included at no charge; code execution and paid tools billed separately.
Usage-based access to AI models through a unified API.
Prices vary by GPU and commitment.
Target Markets
- Individual developers and builders
- Startups
- Small and medium-sized businesses
- Digital-native enterprises
- AI-native businesses
- Software development agencies
- Hosting websites, APIs, SaaS products, and digital businesses
- Startup and small-business application development and production hosting
- Containerized applications and Kubernetes operations
- AI model training, fine-tuning, inference, and GPU workloads
- Retrieval-augmented generation, vector search, knowledge bases, and AI agents
- Data processing, high-performance computing, and asynchronous batch jobs
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