Nvidia Conference Identifies Three Key Problems in the AI Market
In short—neoclouds, data centers, and a lack of funding
Nvidia CEO Jensen Huang concluded his one-and-a-half-week tour of Europe. He managed to meet with world leaders—British Prime Minister Andy Burnham, French President Emmanuel Macron, and German Chancellor Friedrich Merz—and even extended his trip with a visit to Kazakhstan to discuss the country's prospects as a new AI hub.
Following meetings with investors, top executives from "non-cloud" (neocloud) providers, and data center developers on the sidelines of GTC, observers highlighted the key trends and challenges in the AI infrastructure market.
1. The "non-cloud" sector under pressure. The end of the conference coincided with a sell-off of neocloud company stocks: CoreWeave shares dropped by 10%, while Nebius fell by 7%. The market is concerned about the high debt burden on players leasing AI computing capacities.
2. Data center in a container. To remove barriers in AI capacity deployment, Nvidia announced the Vera Rubin racks, packed directly into standard shipping containers for transport on regular roads.
According to Huang, delays in launching data centers cost the industry billions of dollars in lost revenue. Mobile modules will significantly accelerate the deployment of computing systems. Industry giants like OpenAI and Anthropic, which have been seeking solutions for more compact data center placement, have already expressed interest in the project.
3. Capital shortage. Scaling AI infrastructure requires massive financial investments. According to Goldman Sachs estimates, total capital expenditures on AI from 2026 to 2031 will reach $7.6 trillion.
A single 1 GW data center costs approximately $50 billion.
Infrastructure financing experts confirm: in the near future, it will be the lack of available funds, rather than technology, that becomes the main obstacle to industry development.
