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Key Highlights

  • Financing secured through a major bank syndicate (BofA, JPMorgan, Goldman, Wells Fargo).

  • Aims to operate by early 2026 with an Ethernet-based, non-hyperscale network fabric.

  • Positioned as a cost-efficient alternative to hyperscaler GPU pricing.

  • Reflects growing preference for Midwest locations with cheaper power and fewer permitting constraints.

  • Demonstrates institutional comfort with AI infrastructure as a durable asset class.

Banks syndicating this type of credit confirms that AI compute — once considered speculative tech infrastructure — is now priced and underwritten like long-horizon, utility-adjacent real estate.

⚠️ Why it matters now

Three structural factors stand out:

  1. Capital Upgrading
    AI clusters are attracting the same lenders who historically backed logistics, energy, and industrial development.

  2. Geographic Shift
    Ohio, Iowa, Nebraska, and other Midwest markets are emerging as prime compute regions thanks to grid stability, power cost, and political posture.

  3. New Competitive Layer
    Mid-scale operators like Vultr are carving out a pricing niche between hyperscalers and boutique GPU providers.

What’s Next

Pressure will mount on:

  • Regional utilities to accelerate transmission upgrades.

  • Local governments to streamline zoning for high-power sites.

  • Developers to secure long-term power contracts before land.


TAKEAWAY

For investors and developers, the compute cycle is now behaving like early-stage industrial 2.0: land near substations, power availability, and entitlements are the real bottlenecks — not demand.

Charts & Resources