Compute Supply Chain Unit Economics

Every GW of energy capacity added is worth $44.2bn of revenue today.

Token factory revenue of $44.2mn per MW per year, across the 1,000 MW in a gigawatt. The datacenter lease ($2.2mn) and the GPU rental ($20.0mn) are paid out of it rather than added to it. The bar below shows where it ends up.

  • Electricity $0.7mn
  • Cost to service $3.0mn
  • Depreciation $6.1mn
  • Datacenter EBIT $1.5mn, 4% of EBIT
  • Neocloud EBIT $10.8mn, 32% of EBIT
  • Frontier lab EBITDA $22.0mn, 64% of EBIT
CapEx per MW
$40.7mn
EBITDA
$40.5mn
EBIT margin
78%
Levered payback, consolidated
0.7years
GPUs per MW
464
$mn/MWDatacenterCompute OwnerToken FactoryHyperscalerCombinedSum of the three businesses
CapEx$12.0$28.7–$40.7$40.7
Revenue$2.2$20.0$44.2$44.2$66.4
EBITDA$1.9$16.6$22.0$40.5$40.5
EBITDA margin85%83%50%92%61%
Net income$0.7$7.3$17.6$25.6$25.6
Share of chain EBIT4%32%64%100%100%
Unlevered payback (years)8.02.3–1.51.5
Levered payback (years)2.21.2–0.40.7

Combined adds the three businesses as separate companies, so its revenue counts the datacenter lease and the GPU rental that the hyperscaler internalizes. Its levered payback divides the debt raised by after-tax EBITDA; the other payback definitions are footnoted on each business’s tab.

Sensitivity: token prices against GPU rental

Rows scale both token prices from the current inputs; columns set the compute owner’s revenue per MW, which is the token factory’s rental cost. Everything else stays as set. The outlined cell is the current scenario.

Compute owner revenue (GPU rental), $mn/MW
Token prices$10.0$2.46/GPU-hr$15.0$3.69/GPU-hr$20.0$4.92/GPU-hr$25.0$6.15/GPU-hr$30.0$7.38/GPU-hr$35.0$8.61/GPU-hr$40.0$9.84/GPU-hr
−60%38%10%(18%)(46%)(75%)(103%)(131%)
−40%57%38%20%1%(18%)(37%)(56%)
−20%67%53%38%24%10%(4%)(18%)
Current72%61%50%38%27%16%5%
+20%76%67%57%48%38%29%20%
+50%80%72%65%57%50%42%35%
Revenue$44.2mn
EBIT$34.3mn
EBIT margin78%