DigitalOcean's growth strategy is organized around three vectors that aim to accelerate revenue growth without abandoning the simplicity-focused positioning that built the business: expanding ARPU within the existing customer base through higher-value managed services, capturing the AI and machine learning infrastructure opportunity through GPU cloud offerings, and expanding internationally in markets with growing developer and startup populations. The ARPU expansion strategy is the most immediate and highest-probability growth lever. DigitalOcean's approximately 600,000 active customers include many businesses that use only the most basic Droplet compute while running adjacent workloads — databases, object storage, Kubernetes, and application hosting — on competing platforms or self-managed infrastructure. Converting these customers to DigitalOcean managed services for their adjacent needs increases monthly spend without requiring new customer acquisition, improving overall unit economics and reducing churn risk by deepening platform integration. The AI and GPU cloud opportunity represents the most significant potential growth catalyst. DigitalOcean has launched GPU Droplets — virtual machines with NVIDIA H100 and A100 GPUs — targeting the AI development and inference workload segment that is growing rapidly as companies build, fine-tune, and deploy large language models and other AI applications. This segment is where the most significant cloud spending growth is occurring, and DigitalOcean's developer-friendly positioning and transparent pricing create a potentially compelling alternative to the opaque GPU pricing and complex provisioning processes on AWS, Azure, and Google Cloud for startups and developers building AI applications. International expansion, particularly in Asia-Pacific and Latin America, targets developer and startup populations that are growing rapidly but remain underserved by cloud providers with adequate regional infrastructure, local language documentation, and pricing models accessible to markets with different currency and payment infrastructure than the US-centric hyperscalers assume.