Orbital Compute Capital Cost
What is the capital cost per kW_IT for orbital compute?
Answer
Orbital capex ranges from 50,000 $/kW_IT in 2026 (optimistic) down to 31,500 $/kW_IT by 2040 (optimistic), with the central estimate falling from 110,913 $/kW_IT (2026) to 51,221 $/kW_IT (2040). The conservative scenario starts at 215,797 $/kW_IT and declines to 92,422 $/kW_IT by 2040.
The capex composition undergoes a dramatic structural shift over time. In 2026, launch cost is the dominant component in all scenarios. By the mid-2030s, declining launch costs cause GPU hardware to become the dominant capex component -- a transition that fundamentally limits further capex reduction, since GPU cost is shared with terrestrial deployments and cannot be eliminated through space-specific innovation.
Inputs
| Input | Question | Answer | Page |
|---|---|---|---|
| launch-cost-per-kg | What is the cost per kg to deliver payload to LEO? | $1,500-$2,700/kg (2026) declining to $20-$300/kg (2040) | link |
| satellite-mass-budget | What is the total satellite mass per kW_IT? | 12.5-51.4 kg/kW_IT (time-invariant) | link |
| orbital-platform-manufacturing-cost | What is the manufacturing cost for non-compute satellite components? | $5,000-$25,000/kW_IT | link |
| orbital-gpu-cost-premium | What cost premium does space adaptation add to GPU hardware? | 1.05-1.30x multiplier | link |
| gpu-cost-per-kw | What is the baseline GPU cost per kW_IT? | $25,000-$40,000/kW_IT | link |
Analysis
Capex Formula
Total orbital capex is the sum of three components:
- Launch cost = total_satellite_mass (kg/kW_IT) x launch_cost_per_kg ($/kg)
- Orbital GPU cost = gpu_cost_per_kw ($/kW_IT) x gpu_cost_premium (multiplier)
- Platform manufacturing cost = manufacturing cost for non-compute satellite hardware ($/kW_IT)
Launch Cost: The Declining Giant
Launch cost is the most time-sensitive component and the one with the widest scenario range:
| Year | Optimistic | Central | Conservative |
|---|---|---|---|
| 2026 | 18,750 | 61,538 | 138,797 |
| 2030 | 1,250 | 12,308 | 61,688 |
| 2035 | 438 | 3,692 | 25,703 |
| 2040 | 250 | 1,846 | 15,422 |
In the central scenario, launch cost falls by 97% from 61,538 $/kW_IT (2026) to 1,846 $/kW_IT (2040), driven by Starship achieving increasing reuse rates and flight cadence. This decline is the single most important trend in the entire orbital compute cost model.
In the optimistic scenario, launch cost becomes negligible by 2030 (1,250 $/kW_IT), reflecting Starship at 20+ reuses with internal transfer pricing. By 2040, launch is just 250 $/kW_IT -- less than 1% of total capex.
In the conservative scenario, launch remains a major cost even in 2040 at 15,422 $/kW_IT, reflecting limited Starship reuse and the combination of high $/kg pricing with the heavy satellite mass of the conservative mass budget (51.4 kg/kW_IT).
GPU Cost: The Irreducible Floor
Orbital GPU cost is the product of baseline GPU cost and the space adaptation premium:
| Scenario | GPU Cost | Premium | Orbital GPU Cost |
|---|---|---|---|
| Optimistic | $25,000/kW_IT | 1.05x | 26,250 |
| Central | $32,500/kW_IT | 1.15x | 37,375 |
| Conservative | $40,000/kW_IT | 1.30x | 52,000 |
GPU cost is time-invariant in the model. While GPU architectures improve rapidly (3-4x performance per generation), the cost per kW_IT has remained roughly stable because each generation increases both performance and power density while maintaining similar $/kW pricing. This is a critical observation: moving to space does not reduce GPU cost, which represents the single largest cost component of AI compute both on Earth and in orbit.
The Capex Composition Shift
The most important structural finding is how capex composition changes over time:
2026 Central: Launch (61,538) dominates at 55% of total capex (110,913). GPU cost (37,375) is 34%, and platform manufacturing ($12,000) is 11%.
2030 Central: Launch drops to 12,308 (20% of total), GPU rises to 61% (37,375 of 61,683), and platform manufacturing is 19%.
2040 Central: Launch is just 1,846 (4% of total). GPU is the dominant cost at 73% (37,375 of 51,221). Platform manufacturing ($12,000) accounts for 23%.
This shift has a profound implication: as launch costs decline, further orbital capex reduction becomes increasingly difficult because the dominant remaining cost (GPU hardware) is inherent to AI compute and identical whether deployed on Earth or in orbit. The space-specific costs (launch + platform) compress from ~66% of capex in 2026 to ~27% by 2040 in the central case, leaving GPU cost as an irreducible floor.
Total Capex Trajectories
| Year | Optimistic | Central | Conservative |
|---|---|---|---|
| 2026 | 50,000 | 110,913 | 215,797 |
| 2028 | 36,250 | 78,913 | 190,094 |
| 2030 | 32,500 | 61,683 | 138,688 |
| 2035 | 31,688 | 53,067 | 102,703 |
| 2040 | 31,500 | 51,221 | 92,422 |
The optimistic capex converges toward ~31,500 $/kW_IT by 2040, essentially reaching a floor set by GPU cost (26,250) plus platform manufacturing ($5,000) plus negligible launch (250). This floor is roughly 20-25% above the GPU cost alone, reflecting the irreducible overhead of putting compute hardware into orbit.
Comparison to Terrestrial Capex
Terrestrial compute capex is GPU cost plus infrastructure:
- Optimistic: $25,000 (GPU) + $8,000 (infra) = $33,000/kW_IT
- Central: $32,500 + $12,500 = $45,000/kW_IT
- Conservative: $40,000 + $20,000 = $60,000/kW_IT
By 2040, orbital capex in the optimistic scenario (31,500) approaches the terrestrial optimistic capex ($33,000), while the central orbital capex (51,221) exceeds the central terrestrial capex ($45,000) by ~14%. The conservative orbital capex (92,422) remains nearly double the conservative terrestrial figure ($60,000).
The key insight is that orbital capex includes a structural premium over terrestrial capex driven by three factors: (1) the GPU cost premium (5-30%), (2) platform manufacturing cost ($5,000-$25,000) which replaces but does not fully offset terrestrial infrastructure cost ($8,000-$20,000), and (3) residual launch cost which has no terrestrial equivalent. Only in the optimistic long-term scenario does this premium shrink to a level where operational savings (zero energy cost in orbit) could potentially offset it.