🚀 InfiniteGPU

InfiniteGPU is a production-ready platform that enables effortless exchange of compute resources for AI workloads. Requestors can offload intensive AI inference & training tasks to a distributed network of providers, while providers monetize their idle NPU/GPU/CPU capacity, orchestrated through a web interface and native desktop application.

🎯 Project Goal

Transform how compute power is accessed and shared by creating a frictionless marketplace where:

• Requestors can execute AI inference & training tasks without expensive infrastructure
• Providers earn passive income by sharing their device’s computing resources
• The platform orchestrates task distribution, execution monitoring, and automated payments

✨ Key Features

• 🧠 ONNX Model Execution - Run AI inference & training tasks using industry-standard ONNX models
• 𓇲 Neural processing units - Ability to target NPUs can accelerate AI inference & training
• 📁 Multiple input/outputs formats - Input can be plain text, images, videos, numpy tensors
• 💰 Automated Payments - Stripe integration with platform commission, centralized
• ⚡ Real-time Updates - SignalR-powered live task status and progress tracking
• 🖥️ Native Desktop Client - WinUI 3 application for seamless and native background compute execution
• 🔐 Secure Authentication - JWT-based auth with comprehensive user management
• 📊 Financial Dashboard - Track earnings, settlements, and payment history
• 🎨 Modern UI - Beautiful, responsive interface built with React and TailwindCSS

🏗️ Architecture

Backend

ASP.NET Core 10.0 minimal API with clean architecture patterns

• CQRS Pattern via MediatR for command/query separation
• Entity Framework Core with SQL Server for data persistence
• ASP.NET Identity for user management and authentication
• SignalR Hubs for real-time bidirectional communication
• FluentValidation for robust input validation
• Azure Blob Storage for task data and model file storage
• Stripe API for payment processing and webhook handling

Frontend

React 19 with modern tooling and state management

• Vite for lightning-fast development and optimized builds
• TailwindCSS v4 for utility-first styling
• Radix UI for accessible, unstyled component primitives
• TanStack Query for powerful async state management
• Zustand for lightweight client state
• React Hook Form + Zod for type-safe form handling
• Framer Motion for smooth animations

Desktop Application

WinUI 3 native Windows application

• ONNX Runtime for high-performance AI inference execution & AI model training (on CPU, GPU and NPU)
• OpenCV Sharp for image processing and computer vision tasks
• SignalR Client for task orchestration and status updates
• System.Management for hardware metrics collection
• Background Services for autonomous task execution

📂 Project Structure

Scalerize.InfiniteGpu/
├── backend/
│   └── InfiniteGPU.Backend/
│       ├── Features/           # Feature-based modules (CQRS)
│       │   ├── Auth/          # Authentication & user management
│       │   ├── Tasks/         # Task creation and orchestration
│       │   ├── Subtasks/      # Provider task claiming & execution
│       │   ├── Finance/       # Payments, earnings, settlements
│       │   └── Inference/     # AI inference endpoints
│       ├── Shared/            # Cross-cutting concerns
│       │   ├── Services/      # JWT, Email, Task assignment
│       │   ├── Hubs/          # SignalR real-time hubs
│       │   └── Models/        # Shared DTOs and enums
│       ├── Data/              # EF Core DbContext & entities
│       └── Migrations/        # Database migrations
│
├── frontend/
│   └── src/
│       ├── features/          # Feature modules
│       │   ├── auth/          # Login, register, profile
│       │   ├── requestor/     # Task requests and monitoring
│       │   └── provider/      # Earnings and task execution
│       ├── pages/             # Route-level components
│       ├── shared/            # Shared utilities
│       │   ├── components/    # Reusable UI components
│       │   ├── layout/        # App shell and navigation
│       │   ├── stores/        # Zustand stores
│       │   └── utils/         # API client, helpers
│       └── assets/            # Static assets
│
├── desktop/
│   └── Scalerize.InfiniteGpu.Desktop/
│       └── Scalerize.InfiniteGpu.Desktop/
│           ├── Services/      # Background work, ONNX execution
│           ├── Assets/        # App icons and resources
│           └── MainWindow.xaml # Main application window
│
└── docs/                      # Architecture documentation

🚀 Quick Start

Prerequisites

• .NET 8.0 SDK or later
• Node.js 18+ and npm
• SQL Server (LocalDB or full instance)
• Visual Studio 2022 (for desktop app development)

1. Backend Setup

cd backend/InfiniteGPU.Backend

# Restore dependencies
dotnet restore

# Update database (creates schema)
dotnet ef database update

# Run the backend (starts on http://localhost:5000)
dotnet watch run

API Documentation: Navigate to http://localhost:5000/swagger when running

2. Frontend Setup

cd frontend

# Install dependencies
npm install

# Start development server (http://localhost:5173)
npm run dev

3. Desktop Application Setup

cd desktop/Scalerize.InfiniteGpu.Desktop

# Open in Visual Studio 2022
start Scalerize.InfiniteGpu.Desktop.slnx

# Build and run the desktop client
# Set startup project to Scalerize.InfiniteGpu.Desktop (Package)
# Press F5 to run

If dependencies are already installed: ./dev.ps1 launch dotnet and npm.

4. Environment Configuration

Copy .env.example to .env in the root directory and frontend and configure:

# Database
ConnectionStrings__DefaultConnection="Server=..."

# JWT Configuration
Jwt__Key="your-secret-key-here"
Jwt__Issuer="InfiniteGPU"
Jwt__Audience="InfiniteGPU"

# Stripe (for payments)
Stripe__SecretKey="sk_test_..."
Stripe__WebhookSecret="whsec_..."

# Email (Mailgun)
Mailgun__ApiKey="your-mailgun-api-key"
Mailgun__Domain="your-domain.com"

# Azure Storage (for task files)
AzureStorage__ConnectionString="DefaultEndpointsProtocol=https..."

# Frontend URL (for CORS)
Frontend__Url="http://localhost:5173"

🔧 Technology Stack

Backend Technologies

• Runtime: .NET 10.0
• Framework: ASP.NET Core Minimal APIs
• Database: SQL Server with Entity Framework Core
• Authentication: ASP.NET Identity + JWT Bearer
• Architecture: CQRS via MediatR
• Validation: FluentValidation
• Real-time: SignalR
• Payments: Stripe.NET
• Storage: Azure Blob Storage
• Documentation: Swagger/OpenAPI

Frontend Technologies

• Framework: React 19.1
• Build Tool: Vite
• Language: TypeScript
• Styling: TailwindCSS 4.1
• UI Components: Radix UI
• State Management: Zustand + TanStack Query
• Forms: React Hook Form + Zod validation
• Routing: React Router
• Icons: Lucide React
• Animations: Framer Motion
• Real-time: @microsoft/signalr

Desktop Technologies

• Framework: WinUI 3
• Runtime: .NET 10.0
• AI Inference & training: Microsoft.ML.OnnxRuntime
• Image Processing: OpenCvSharp4, ImageSharp
• Real-time: SignalR Client
• DI Container: Microsoft.Extensions.DependencyInjection
• System Metrics: System.Management
• Tray Icon: H.NotifyIcon.WinUI

📱 Application Flow

Requestor Journey

• Register/Login to the platform
• Upload ONNX model and create inference or training task
• Configure task parameters and parallelization
• Fund wallet via Stripe payment
• Monitor task progress in real-time via SignalR
• Download results when complete

Provider Journey

• Install desktop application
• Register device and authenticate
• Desktop app runs in background
• Automatically claims and executes available subtasks
• Earns credits for successful completions
• Request withdrawals when threshold reached

Platform Operations

• Orchestrates task distribution to available providers
• Monitors subtask execution via heartbeats
• Handles failures with automatic reassignment
• Processes payments and calculates earnings
• Tracks 10% commission on transactions

🧪 Development Commands

Backend

# Run with hot reload
dotnet watch run

# Run tests
dotnet test

# Create migration
dotnet ef migrations add MigrationName

# Apply migrations
dotnet ef database update

# Generate SQL script
dotnet ef migrations script

Frontend

# Development server
npm run dev

# Production build
npm run build

# Preview production build
npm run preview

# Lint code
npm run lint

Desktop

# Build for specific platform
dotnet publish -c Release -r win-x64

# Create package
msbuild /t:Publish /p:Configuration=Release

🤝 Contributing

Contributions are welcome! Please feel free to submit pull requests or open issues for bugs and feature requests.