DigitalOcean's AI Revenue Surges 212% as Customers Lock In Multi-Year Deals

DigitalOcean Posts Fastest Revenue Growth in Years

DigitalOcean's second-quarter earnings reveal a company rapidly transforming from a developer-focused cloud platform into a serious AI infrastructure player. The company reported revenue of $281 million for the quarter ending August 4, representing 29% year-over-year growth—the fastest expansion rate DigitalOcean has achieved in several years.

The most striking metric is remaining performance obligation, which ballooned to $894 million from just $71 million one year earlier. This twelve-fold increase signals that customers are signing multi-year commitments rather than operating on month-to-month renewals, according to details first reported by AI Watch.

AI Customers Drive Contract Value Higher

AI Customer ARR reached $234 million, up 212% year over year. Management noted that 85% of this AI revenue now comes from inference workloads and core cloud services rather than bare-metal server rentals—a shift that indicates customers are using higher-margin managed services instead of just leasing hardware.

The company's newly launched Inference Engine showed particularly strong adoption, with early customers increasing their token consumption roughly 30-fold within 60 days of onboarding. DigitalOcean also signed its first contracts worth more than $100 million annually during the quarter, extending the weighted average contract duration from 1.6 years to over three years.

Incremental ARR additions hit a record $93 million, up 191% from the prior year. The largest customer segments are expanding fastest: accounts spending at least $500,000 annually grew 35%, while revenue from customers spending $1 million or more jumped 214%.

To support this demand, DigitalOcean secured an additional 20 megawatts of data center capacity scheduled for 2027 and 2028, bringing total committed capacity to approximately 155 megawatts.

Why it matters

DigitalOcean's results demonstrate that mid-market companies are willing to make substantial, multi-year AI infrastructure commitments—a validation that enterprise AI workloads are moving beyond experimentation. However, the widening gap between revenue growth and profitability raises questions about whether the company can scale its AI business without permanently compressing margins. For technology leaders evaluating cloud providers, the data suggests DigitalOcean has achieved product-market fit in AI inference, but the economics of that fit remain unproven.

Profitability Pressures Mount

While revenue accelerated, profitability metrics moved in the opposite direction. Net income attributable to common stockholders declined 4% to $35 million, with net margin falling to 13%. Operating income dropped 18% to $29 million, pulling operating margin down to 10%. Adjusted EBITDA margin held near 40%, but cash flow margins compressed as well—net cash from operations reached $110 million but represented 39% of revenue compared to 42% a year earlier. Adjusted free cash flow margin fell from 26% to 22%.

The company also repurchased approximately $472 million of convertible notes due in 2030, funding the transaction through a concurrent stock offering that will retire about 500,000 shares while adding to the diluted share count expected to reach 123 million by year-end.

These details were first reported by AI Watch.