AI Data Centers Drive Unexpected IPv4 Demand Surge in 2025
Nobody saw the AI boom coming at this scale. Data centers for training and inference are going up fast, and they need IPv4. APIs, management networks, legacy integrations—much of it still runs on IPv4. The result: AI infrastructure demand has surged in 2025, and the IPv4 market is feeling it.
The Scale of AI Infrastructure Investment
The numbers are staggering:
- NVIDIA-OpenAI partnership: $100 billion commitment to deploy 10 gigawatts of GPU systems, announced September 2025
- Oracle Stargate project: $40 billion for ~400,000 NVIDIA GB200 chips for OpenAI’s Texas data center
- Nscale: $2 billion raised at $14.6 billion valuation for AI data center expansion
These facilities require massive networking infrastructure. A single 10-gigawatt deployment translates to millions of servers, each needing management IPs, interconnect addresses, and customer-facing endpoints.
Why AI Data Centers Need IPv4
AI infrastructure is not IPv6-only. Training clusters talk to storage, orchestration, and monitoring systems. Inference services expose APIs. Many of these paths still expect IPv4 or dual-stack. Even where IPv6 is available, interoperability with legacy partners and tooling often requires IPv4.
Data center needs add up. A single large cluster might use thousands of addresses for management, interconnect, and user-facing services. When Oracle’s Stargate facility comes online with 400,000 GPUs, the networking requirements include substantial IPv4 allocations for backwards compatibility and peering.
What the Surge Looks Like
Brokers and RIR transfer stats show increased activity in regions with heavy AI build-out: the US, Europe, and parts of Asia. AI infrastructure ipv4 demand is not the only driver—cloud, hosting, and enterprise remain strong—but it has added pressure that earlier forecasts did not fully capture.
For holders and lessors, that means more potential lessees and buyers. For those who need addresses, it means more competition and, in some regions, tighter supply.
Rent vs Lease vs Buy for AI Workloads
AI projects often have uncertain timelines. Pilots, proof-of-concepts, and burst workloads may need addresses for months rather than years. In those cases, rent fits. Our how to rent IPv4 guide walks through flexible short-term options when you need capacity for AI infrastructure without a long commitment.
For longer-term deployments—operational clusters, steady inference—lease or buy may make more sense. Lease fits 1–3 year horizons; buy fits 5+ years and asset ownership.
Bottom Line
AI data centers are driving unexpected IPv4 demand in 2025. The market is adapting: more supply from holders, more demand from AI builders. If you need addresses for AI workloads, define your timeline and choose rent, lease, or buy accordingly.