Key Takeaways:
The cloud infrastructure provider is winning AI inference workloads from startups and enterprises, challenging the hyperscaler duopoly of Amazon and Microsoft.
DigitalOcean has added $170 million in annual recurring revenue from AI customers, up 221% from a year earlier, as the cloud provider carves out a niche serving inference workloads that hyperscalers have overlooked.
"The market is fracturing. Smaller, specialized providers can win by being faster and cheaper for specific workloads," said Yury Akinin, founder and CEO of AVELIN AI, a sovereign AI platform that partners with DigitalOcean.
The company's Q1 revenue reached $258 million, up 22% year-over-year and ahead of the $249 million consensus. Adjusted earnings of $0.44 per share topped estimates of $0.26. Annualized recurring revenue crossed $1 billion for the first time, while customers spending more than $1 million annually grew 179%.
DigitalOcean shares have surged about 350% over the past 12 months and 167% year-to-date, giving the company a market value that now qualifies it for the Russell 1000 index. The question for investors is whether the stock's 119-times trailing earnings multiple can be sustained as the company proves its AI strategy can deliver at scale.
AI-Native Cloud Draws Larger Customers
DigitalOcean's strategy extends well beyond traditional cloud hosting. The company launched its AI-Native Cloud platform earlier this year, designed specifically for inference and agentic AI workloads. It also acquired Katanemo Labs to add agentic AI technology and expanded GPU infrastructure to meet growing demand.
The approach targets a gap left by Amazon Web Services and Microsoft Azure, which have focused on training large foundation models. DigitalOcean is betting that the next wave of AI adoption will center on inference — running trained models in production — where cost efficiency and ease of deployment matter more than raw compute power.
AI-related customers now generate $170 million in ARR, representing about 17% of the company's total. Revenue from customers spending more than $1 million annually jumped 179%, suggesting DigitalOcean is successfully moving upmarket from its base of small and midsize developers.
Valuation Tests Investor Conviction
The stock's rally has pushed DigitalOcean to 119 times trailing earnings, far above the broader tech sector and cloud infrastructure peers. Its price-to-sales ratio has also expanded well beyond companies such as Arista Networks and JFrog.
Wall Street remains broadly optimistic. The stock carries a consensus "Moderate Buy" rating, with a mean price target of $179 implying about 38% upside from current levels. Analysts point to accelerating AI revenue, improving customer mix, and expanding GPU capacity as reasons for the bullish view.
But the premium valuation leaves little room for error. If AI workload growth slows or competition from hyperscalers intensifies, the multiple could compress quickly. DigitalOcean's next earnings report will show whether the AI-native strategy is converting pipeline into signed contracts at the pace investors expect.
This article is for informational purposes only and does not constitute investment advice.
