No volume of infrastructure capex can prevent physical compute rationing.
Despite committing tens of billions of dollars to colossal GPU fleets and data centers, physical capacity constraints compel leading AI developers to restrict user access, pause subscriptions, or cap capacity leases.
The same conclusion keeps arriving from across the workspace's research — 1 topics independently instantiate this theme. Filter the evidence by where it came from:
DeepSeek was forced to abandon loss-leader pricing and signal significant price hikes after surging demand overwhelmed its physical GPU infrastructure.
Severe hardware constraints and compute backlogs forced Anthropic to ration user access through strict caps on its premium tiers.
Even after raising $3.5 billion and partnering with Alibaba Cloud, Moonshot was forced to ration access and suspend subscriptions due to physical compute constraints.
Despite Meta's massive infrastructure spending, physical bottlenecks forced Google to ration and cap Meta's access to its Gemini API.
This shows how physical compute and capacity constraints forced OpenAI to ration user access by pausing new subscription signups despite its massive infrastructure scale.