Sustainable compute by design
The datacenter that doesn't exist.
Traditional datacenters consume massive energy, water, and resources. Fabric creates the same compute power using devices that already exist.
Traditional 1GW Datacenter
What OpenAI & Meta are building
- $30-50B Build cost
- 10-15yr To construct
- 3.5M Tons CO2/year
- Billions Gallons water
Fabric Distributed Network
Same compute, zero footprint
- ~200x Smaller build cost
- Months To deploy
- ~0 Additional CO2
- 0 Water needed
Why Fabric is different.
The first datacenter that grows like a social network, exponentially, not linearly. No construction. No cooling towers. No environmental destruction.
No Water Consumption
Traditional datacenters use millions of gallons of water daily for cooling. Fabric devices use ambient room temperature. Zero water needed.
No New Construction
No land acquisition, no permitting, no building massive facilities. Fabric taps into compute that already exists in homes and offices.
Idle Power Utilization
Your computer uses nearly the same power whether idle or working. Fabric puts that wasted energy to productive use.
Drastically Lower Carbon
By avoiding dedicated facilities with industrial cooling, Fabric reduces CO2 emissions by orders of magnitude compared to datacenters.
Fabric vs. Traditional
For equivalent 10MW compute capacity (100,000 nodes)
Traditional Datacenter
- ✕ 87,600 MWh/year Energy consumption
- ✕ 35,000 tons CO2/year Carbon emissions
- ✕ Tens of millions of gallons Water for cooling annually
- ✕ $500M - $1B Build cost, 4-6 years
Fabric Network
- Uses existing idle power No additional energy infrastructure
- Near-zero additional emissions Devices already running
- Zero water for cooling Ambient room temperature
- $15-25M Projected Investment, 12 months to deploy
Scaling without destruction.
At a million nodes, Fabric enters the exaflop era with 2 exaflops of distributed compute, matching the footprint of a regional cloud datacenter. At 10 million nodes, Fabric passes 1 gigawatt of compute and exceeds 20 exaflops.
- 10,000 nodes = 1 megawatt cluster ~20 petaflops
- 1M nodes = exaflop era ~2 exaflops
- 10M nodes = hyperscale 20+ exaflops, 1GW
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