The world is spending billions to build physical datacenters. These are facilities that take years to permit, construct, and activate. But most of the compute we need already exists in personal devices around the world. It is idle, powerful, and everywhere.

Fabric is our effort to turn that global idle capacity into a distributed datacenter. One that scales through software, not construction.

Our Public Progress Page

We have published a transparent public page that breaks down what each compute milestone means, how Fabric scales, and how our cost curve compares to traditional infrastructure.

It shows exactly where we are today, where we are going, and how this model fundamentally changes what it costs to build compute.

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

  • Projected Investment: $300,000 to $500,000
  • Team Size: 2 to 4 people
  • Time to Deploy: 3 months

Traditional 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

Fabric

  • Projected Investment: $3 million to $5 million
  • Team Size: 6 to 10 people
  • 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

Fabric

  • Projected Investment: $15 million to $25 million
  • Team Size: 15 to 25 people
  • 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

Fabric

  • Projected Investment: $50 million to $80 million
  • Team Size: 40 to 60 people
  • 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

Fabric

  • Projected Investment: $150 million to $250 million
  • Team Size: 100 to 150 people
  • 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

Projected Fabric investment includes node acquisition, engineering, network operations, and developer ecosystem growth. Fabric requires no hardware capex; compute supply grows through device enrollment.

| 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.