AI CLOUD DEMAND IS OUTPACING SUPPLY โ $104B BACKLOG EXPOSES THE REAL BOTTLENECK โก๐
In Q2, operating power was 1.5GW, with 3.7GW contracted; order backlog reached $10.4Bโthis set of figures redefines the scale of the supply-demand imbalance.
๐ PRICING POWER IS REAL, BUT SURGICALLY TARGETED
CoreWeave raised prices by about 25% across various SKUs in July. Nebiusโ old GPUs saw price increases of more than 30% versus Q1. Average annual revenue per MW on new contracts exceeds $20 million; in the short-term, urgent capacity can even spike to $40โ50 million per MW. The steepest price hikes are concentrated in short-term capacity, next-gen GPUs, and large-scale clustersโnot long-term, locked-in enterprise bare-metal agreements. The market is paying an astonishing premium for โimmediacy.โ
๐๏ธ THE GAME IS SHIFTING FROM GPUs TO OPERATING SYSTEMS
Both companies are moving from renting GPUs by the hour toward integrating training, inference, storage, deployment, governance, and cross-cloud operations into an โAI infrastructure operating system.โ Nebius first disclosed a clear project payback period, but company-level ROIC still hasnโt been verifiedโdepreciation and interest continue to erode most operating profit.
โก Power connection speed, not customer acquisition capability, has become the industryโs true moat. When the demand curve is steep while supply is rigid, pricing power naturally diverges. Do you think the โpower bottleneckโ will last until 2027?
โ ๏ธ Not financial advice. Always manage your risk. ๐ก๏ธ
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