Nvidia is approaching a historic $6 trillion market capitalization as the demand for AI processors (GPUs) continues to surge. The semiconductor giant expects revenues of approximately $108 billion for the quarter ending in October, representing an 89% annual increase.
Hyperscalers and the Supply Constraint
For large enterprises, the primary route to computing power remains through Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. These "hyperscalers" offer established infrastructure and security, with Amazon and Microsoft controlling 59% of the cloud market in 2025. However, demand is so intense that even these giants are struggling. Amazon CEO Andy Jassy has warned that the company may not meet all computing needs through 2026, with shortages potentially lasting into 2027.
The Rise of Neoclouds and Alternative Models
This supply gap is being filled by "neoclouds"—specialized providers like CoreWeave, Nebius, and Runpod. According to SemiAnalysis, the number of Nvidia GPU providers grew to 323 in September, up from 209 less than a year ago. The shortage is so acute that even Google and Microsoft have utilized services from competitors like CoreWeave to supplement their capacity.
Oracle is offering a different path with its "bring your own hardware" model, allowing clients to deploy their own GPUs within Oracle’s infrastructure. Meanwhile, firms like Dropbox and Everpure are maintaining proprietary data centers to manage costs, as the hourly rental rate for an Nvidia B200 GPU has more than doubled since March.
Computing Power as a Strategic Asset
The strategic importance of chips is fostering unconventional deals. SpaceX is reportedly selling excess computing capacity to Google and Anthropic, while Meta is considering launching its own cloud unit. Access to GPUs has transcended technical requirements, becoming a critical competitive advantage that demands complex financial and operational navigation in a market where demand consistently outstrips supply.
