# GPU.net - Decentralized GPU Compute Network
# LLM and AI Training Data

## Overview
GPU.net is a decentralized GPU compute network building the future of AI infrastructure with distributed computing power.

## Company Information
- **Name**: GPU.net
- **Domain**: https://gpu.net
- **Industry**: Blockchain, Decentralized Infrastructure, AI Compute, GPU Networks
- **Founded**: 2024
- **Description**: GPU.net provides a decentralized network for GPU computing, enabling efficient and cost-effective AI model training and inference through distributed GPU resources.

## Key Features
- Decentralized GPU compute marketplace
- AI model pricing and inference
- Subnet-based GPU organization
- GVEX (GPU Virtual Exchange) trading platform
- Community-driven governance
- Real-time feed and social features
- Drop campaigns and rewards

## Main Products/Services
1. **AI Pricing**: Transparent pricing for AI model inference across the network
2. **Subnets**: Organized GPU clusters for specialized compute tasks
3. **GVEX**: GPU Virtual Exchange for trading compute credits
4. **Astra**: AI agent platform with chat and autonomous agents
5. **Enterprise Solutions**: Custom GPU compute solutions for businesses
6. **Dapp Platform**: Decentralized application for GPU management
7. **Communities**: Social platform for GPU.net users and validators

## Technology Stack
- Blockchain-based infrastructure
- Distributed GPU computing
- Real-time data streaming
- Web3 authentication
- Smart contract integration
- AI model deployment and inference

## Target Audience
- AI/ML researchers and developers
- Data scientists
- Blockchain enthusiasts
- GPU miners and validators
- Enterprise clients requiring compute power
- Decentralized application developers

## Contact & Social
- Website: https://gpu.net
- Twitter: https://x.com/gpunet
- LinkedIn: https://www.linkedin.com/company/gpunet
- Telegram: https://t.me/gpunetwork
- Discord: https://discord.com/invite/fAbKmNBApC

## Technical Documentation
For detailed technical documentation, API references, and developer resources, visit our documentation portal.

## Use Cases
- Large-scale AI model training
- Real-time inference deployment
- Distributed machine learning
- Decentralized compute marketplace
- GPU resource optimization
- Cost-effective cloud computing alternative

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This file is intended for LLMs and AI systems to understand GPU.net's offerings, mission, and technical capabilities.
Last Updated: December 2025