The AI cloud computing sector is experiencing increased demand and shifting prices.

Huo Xing Cai Jing reports that on August 13, analyst qinbafrank identified five key trends in the AI cloud computing (CSP) sector based on the latest financial reports from CoreWeave and Nebius. Demand continues to significantly outstrip near-term deliverable supply—CoreWeave had approximately 1.5 GW of power operational by the end of Q2, with contracted power at around 3.7 GW, and a backlog of roughly $104 billion in orders, excluding over $2.5 billion in new commitments added at the start of Q3; Nebius plans to deploy over 1 GW annually starting in 2027, with a medium-term target of 5 GW in contracted capacity. The industry’s bottleneck has shifted from “whether there are customers” to “when power can be delivered, GPUs installed, and billing initiated.” Pricing power is indeed strengthening, but not uniformly: CoreWeave raised prices across most SKUs by approximately 25% in July; Nebius saw prices for older-generation GPUs rise over 30% compared to Q1, with average annualized revenue from new Q2 contracts exceeding $20 million per MW, and short-term emergency capacity in early Q3 reaching $40–50 million per MW. The most pronounced price increases are in short-term capacity, new-generation GPUs, large-scale clusters, and production-grade inference—not traditional, low-priority, long-term fixed-price bare compute. Project-level ROI is now viable, but company-level ROIC remains unproven: Nebius has for the first time disclosed clearer project payback periods; CoreWeave finances GPU investments through five-year contracts and asset-level financing, yet depreciation and interest still consume the majority of operating profits. Both companies are evolving toward “AI infrastructure operating systems,” shifting competitive focus from hourly GPU rentals to integrated platforms offering training, inference, storage, networking, model deployment, monitoring, governance, agent execution environments, and cross-cloud operations. Paths for third-party capital involvement are diverging: Nebius’s lightweight model resembles “capital partners fund AI factories while Nebius provides the OS and operational capabilities”; CoreWeave Omni more closely resembles “deploying a full cloud onto customers’ own data centers and GPUs.” While the direction is aligned, Nebius currently emphasizes reducing capital expenditure, whereas CoreWeave prioritizes hybrid cloud and sovereign AI delivery.