P2P AI Compute Network

The World's Idle GPUs,
Monetized.

ShAIrable connects idle GPUs, Apple Silicon, and mobile CPUs to companies that need AI compute — and pays device owners in BTC and ETH, automatically, overnight.

$0.02/hr
avg compute cost
42ms
avg task latency
BTC + ETH
reward currencies
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The Problem

A market with two broken sides.

For Companies

Compute is expensive & gatekept.

  • AWS GPU instances cost $3–$32/hr per node
  • Centralized providers create single points of failure
  • Waitlists, quotas, and enterprise contracts block access
$32/hr
AWS p4d.24xlarge spot rate
For Device Owners

Your hardware sits idle.

  • 90%+ of consumer GPUs are unused overnight
  • Apple Silicon M-series chips deliver TFLOPS rivaling data center GPUs
  • Billions in compute power, earning nothing
90%
of GPUs unused during off-hours
The Solution

shAIrable connects both sides.

A decentralized marketplace where idle hardware becomes infrastructure, and AI workloads find the cheapest, fastest compute — automatically, on-chain.

NVIDIA GPU
Apple Silicon
AMD GPU
Android NPU
compute →
shAIrableP2P Router
→ workloads
AI Startups
Enterprise ML
Research Labs
₿ ETH rewards ←

Passive Income

Leave the app running. Your GPU or Apple Silicon earns BTC and ETH automatically via smart contract payouts.

10–100× Cheaper

Companies pay a fraction of hyperscaler rates. Community supply drives costs down as the network grows.

No Intermediary

Rewards flow directly on-chain. No custodian, no lock-in, no intermediary taking a cut beyond the protocol fee.

Environmental Impact

The greener compute alternative.

Traditional AI compute guzzles water. shAIrable repurposes hardware that already exists — no cooling towers, no new data centers, no water-intensive infrastructure.

700B+
liters of water consumed by US data centers annually
1–9L
of water evaporated per kWh of data center cooling
0L
additional water to cool your already-running GPU
Why shAIrable is different
1

No new hardware, no new footprint

shAIrable runs on devices you already own. Reusing idle compute means no additional chip manufacturing, no new data center construction, and no incremental water draw.

2

Air-cooled by default

Consumer GPUs and Apple Silicon use ambient air — not industrial chillers or evaporative cooling towers. Your MacBook's fan is your cooling system.

3

Fewer hyperscaler workloads

Every job that runs on shAIrable is one fewer job on AWS, Azure, or GCP — data centers that collectively consume billions of liters of water each year to keep their racks cool.

How It Works

Two paths, one network.

01

Download & Connect

Install the ShAIrable app on your device — Windows, macOS (Apple Silicon), or Android. Link your crypto wallet in 60 seconds.

02

Stake Your Compute

Set your availability window (e.g. 10 PM – 8 AM). ShAIrable only runs during your off-hours, never interrupting your work.

03

Earn Overnight

BTC and ETH rewards accumulate in real-time via smart contract. Withdraw anytime — no minimums, no lock-up period.

Technology

Built for every device.

Native runtimes — no emulation, no overhead. ShAIrable extracts maximum performance from every architecture.

NVIDIA GPU

CUDA / TensorRT
  • RTX 30/40 series
  • A100, H100
  • Up to 80GB VRAM

Apple Silicon

Metal / MLX
  • M1, M2, M3
  • Unified memory architecture
  • Up to 192GB shared

AMD GPU

ROCm / OpenCL
  • RX 6000/7000 series
  • Instinct MI series
  • Up to 64GB VRAM

Android / ARM

NNAPI / Vulkan
  • Snapdragon 8 Gen+
  • MediaTek Dimensity
  • Edge inference workloads

On-chain reward distribution

No intermediary holds your funds. Rewards flow directly from company wallets to provider wallets via audited smart contracts.

Bitcoin

Lightning-fast micropayments via BTC Lightning Network. Sub-cent payouts per compute task.

Ξ
Ethereum

Smart contract reward distribution. Fully transparent, auditable payouts on-chain.

Market Opportunity

Why now.

$250B+
Global cloud compute market
Growing 17% YoY
1B+
Idle consumer GPUs worldwide
90% unused during off-hours
10×
AI compute demand growth
Year-over-year since 2022

The convergence is happening.

1

The AI compute shortage is structural — hyperscalers can't build fast enough

2

Consumer hardware (esp. Apple Silicon) now rivals data center GPUs for inference

3

Crypto infrastructure is mature enough for real-time micropayment rails

4

Regulatory tailwinds pushing enterprises toward distributed, sovereign compute

Get Early Access

Turn your hardware
into income.

Join thousands on the waitlist. Providers and companies welcome. Be first when we open to the public.