Pearl Network

What is Pearl Network?

Pearl Network is a Bitcoin-style Layer-1 blockchain designed by Pearl Research Labs that replaces traditional hash puzzles with Proof-of-Useful-Work based on matrix multiplication. It lets GPUs mine the native PRL token while simultaneously running AI training and inference, turning the same compute into both blockchain security and useful work. The protocol keeps Bitcoin's UTXO model and economic principles while targeting roughly 194-second blocks and a fixed 2.1 billion PRL supply on a smooth emission curve. Alongside the chain, the Pearl Compute platform helps operators mine PRL using cloud GPUs with a "2-for-1" kernel and manage assets through a self-custodial wallet.

Key Features

• Proof-of-Useful-Work Consensus

  Consensus mechanism where miners prove large-scale matrix multiplications, allowing GPU AI workloads to secure the chain with only marginal overhead versus normal compute.

• Bitcoin-Style Architecture

  Retains a Bitcoin-like UTXO model, peer-to-peer network, and longest-chain rules while swapping SHA-256 puzzles for matrix multiplication as the work function.

• PRL Token Economics

  Fixed 2.1 billion PRL supply with block rewards and fees paid to miners, using a smooth decay curve that avoids abrupt halving-style cliffs.

• Pearl Compute Platform

  Cloud GPU portal that lets users mine PRL using Pearl’s 2-for-1 kernel and manage assets through a secure, self-custodial wallet interface.

• Enterprise Inference Integration

  Partnerships such as the Together AI endpoint for Gemma-4-31B-it-Pearl demonstrate discounted serverless inference running on Pearl-secured compute.

• Open Research and Tooling

  Public whitepaper, economic models, and open-source monorepo invite researchers and developers to study and extend the Proof-of-Useful-Work protocol.

Use Cases

• GPU Mining with Real Work : Miners who want block rewards tied to useful matrix multiplication rather than arbitrary hashing can run Pearl’s workloads on their GPUs to earn PRL.
• Cloud GPU Hosting and Rental : Cloud GPU operators can route workloads through Pearl Compute to mine PRL while serving AI jobs, aiming for a two-for-one utilization of rented hardware.
• AI Infrastructure Cost Hedging : Teams running large-scale inference or training can use Pearl to offset compute costs by mining tokens on the same GPUs that power their workloads.
• Crypto and DeFi Exposure to AI Compute : Traders and long-term holders can gain direct exposure to a cryptocurrency whose security budget is designed around AI-style matrix multiplication.
• Blockchain and Cryptography Research : Researchers can empirically study Proof-of-Useful-Work, consensus security, and AI-compute incentives on a live network with accessible documentation and code.

FAQs