Total Enabled CapEx
$208.3B
Backed by $125B guarantee
GPU Cluster Count
1.85M
Next-gen Blackwell units
Forecast Compute
4,629 EF
FP8 ExaFLOPS capacity
Peak Power Draw
2.60 GW
74% of 3.5GW target
Annual Debt Service Risk
$8.12B
At 6.5% interest rate
Debt Vulnerability Matrix (Default Probability vs Interest & AI Yield)
Simulates default pressure under varying monetized GPU yields ($/ExaFLOP/hr) against credit interest rates.
Ohio Campus Deal Structural Analysis
Under the current configuration, Nvidia's initial backstop of $125B unlocks $208.3B in debt and equity financing. This translates into 1.85 Million GPUs deployed across Ohio facilities by 2030, consuming 2.60 GW of local power.
Key Advantage:
Halving the initial backstop limits Nvidia's balance sheet credit contagion while providing sufficient initial leverage for OpenAI's near-term training clusters.
Primary Bottleneck:
Power grid interconnect delays in AEP Ohio territory remain the core risk factor, overriding chip availability by 2027.
State Proof: CapEx=$208.3B | GPUs=1.85M | Compute=4,629 EF | Power=2.60 GW | Scenario=WSJ Rework ($125B)