Fabric: A New Kind of Datacenter

Every personal device contains idle compute. Fabric turns these devices into a global, invisible datacenter.

Per-Device Compute Baseline (Fabric Node)

Based on current observations across Fabric's network. Average home or personal device (laptop, desktop, mini-PC):

Component Typical Value
Usable compute power 50 to 150 watts (assume 100 watts average)
Sustained compute capacity ~2 teraflops (CPU, GPU, neural engine combined)
Node uptime (usable) 25 to 60% depending on operations
Cost to Fabric $0 capital expenditure
Customer acquisition cost per node $1 to $10 (growth dependent)
Maintenance cost Near-zero (agent updates only)
FLOP / teraflop / petaflop / exaflop Floating Point Operations Per Second. 1 teraflop = 1 trillion ops/sec; 1 petaflop = 1,000 teraflops; 1 exaflop = 1,000 petaflops
Watt / kilowatt / megawatt / gigawatt Unit of power. 1 KW = 1,000 watts; 1 MW = 1,000 KW; 1 GW = 1,000 MW. Typical home ~1 KW; datacenter 10 to 100+ MW
Fabric Today ~70 nodes; 7 KW; 140 teraflops; 2 team members

Comparing Fabric vs. Datacenters

Build Cost and Time to Deploy (Same Compute Capacity)
Fabric
Traditional Datacenter
0.1 megawatts
1,000 nodes
Compute Capacity 2 petaflops
Equivalent To University HPC cluster
Supports Web hosting, ML inference, batch data processing
Fabric
Build Cost
Less than $10,000 customer acquisition
Team
2 to 4 engineers + ops
Time to Deploy
3 months
Datacenter
Build Cost
$2 million to $5 million
Time to Deploy
9 to 15 months
Cost Breakdown
Land + permitting: $500,000
Hardware: $1.5 million
Cooling + power: $500,000
Staffing: 5 to 10 engineers
Environmental Impact
~876 MWh/year energy
~350 tons CO2/year
Dedicated cooling infrastructure
Raise $500,000
1 megawatt
10,000 nodes
Compute Capacity 20 petaflops
Equivalent To Commercial compute hall
Supports Enterprise applications, advanced analytics, cloud services
Fabric
Build Cost
$50,000 to $100,000 customer acquisition + engineering
Time to Deploy
6 months
Datacenter
Build Cost
$40 million to $80 million
Time to Deploy
2 to 3 years
Cost Breakdown
Land + permitting: $10 million
Hardware: $25 million
Cooling + power: $15 million
Staffing: 20 to 50 engineers
Environmental Impact
~8,760 MWh/year energy
~3,500 tons CO2/year
Industrial cooling systems
Water consumption: millions of gallons/year
Raise $5 million to $7 million
10 megawatts
100,000 nodes
Compute Capacity 200 petaflops
Equivalent To Cloud availability zone
Supports HPC simulations, ML model training, large-scale data processing
Fabric
Build Cost
$500,000 to $1 million customer acquisition
Team
~10-person team
Time to Deploy
12 months
Datacenter
Build Cost
$500 million to $1 billion
Time to Deploy
4 to 6 years
Cost Breakdown
Land + permitting: $50 million
Hardware: $300 million
Facilities + cooling: $200 million
Staffing: 100+ engineers
Environmental Impact
~87,600 MWh/year energy
~35,000 tons CO2/year
Dedicated power substation
Water: tens of millions of gallons/year
Raise $20 million to $40 million
100 megawatts
1,000,000 nodes
Compute Capacity 2 exaflops
Equivalent To AWS region-equivalent
Supports AI model training, global content delivery, hyperscale cloud
Fabric
Build Cost
$5 million customer acquisition
Team
~20-person team
Time to Deploy
1.5 to 2.5 years
Datacenter
Build Cost
$3 billion to $5 billion
Time to Deploy
5 to 7 years
Cost Breakdown
Land + permitting: $300 million
Hardware: $2 billion+
Facilities + cooling: $1 billion
Staffing: 200+ engineers
Environmental Impact
~876,000 MWh/year energy
~350,000 tons CO2/year
Dedicated power plant or grid connection
Water: 100+ million gallons/year
Raise $50 million to $80 million
1 gigawatt
10,000,000 nodes
Compute Capacity 20 exaflops
Equivalent To Hyperscale cloud region
Supports Exascale computing, global-scale AI, real-time financial systems
Fabric
Build Cost
$50 million customer acquisition
Team
50-person organization
Time to Deploy
2 to 4 years
Datacenter
Build Cost
$30 billion to $50 billion
Time to Deploy
10 to 15 years
Cost Breakdown
Multi-region construction
Energy purchasing agreements
Hardware: $20 billion+
Facilities: $10 billion+
Staffing: 500+ engineers
Environmental Impact
~8.76 TWh/year energy
~3.5 million tons CO2/year
Multiple dedicated power plants
Water: billions of gallons/year
Massive land footprint
Raise $80 million to $100 million
Category Fabric Datacenter
Hardware Capital Expenditure $0 $40 million to $50 billion
Build Time 1 to 3 months per 10x nodes 2 to 15 years
Operating Cost Software + small team Power, cooling, physical staff, repairs
Scaling Speed Viral, exponential Linear, construction-limited

Fabric is the first datacenter that grows like a social network: exponentially, not linearly.

Across Fabric's network today, the average device delivers ~2 teraflops of sustained compute, combining CPU, GPU, and neural engine throughput from M1, M2, M3-class Macs and multi-core Windows/Linux desktops.

With this real-world capability, 100 nodes deliver ~200 teraflops, 1,000 nodes reach the 2 petaflop range, and 10,000 nodes become a 1-megawatt cluster delivering ~20 petaflops of compute.

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, rivaling hyperscale datacenter deployments that would cost $30 to $50 billion and take a decade to build.

Fabric reaches this scale through software and network effects, not construction.

For reference: The Stargate Project, announced by OpenAI, Oracle, and SoftBank, plans to spend $500 billion over 4 years to build AI infrastructure. Fabric's distributed model could achieve comparable compute capacity for less than 0.1% of that cost.