FluxEdge GPU Computing

FluxEdge — Decentralized GPU Computing

FluxEdge is the decentralized GPU marketplace within the Flux ecosystem. It connects GPU providers with users who need compute power for AI training, inference, rendering, and other GPU-intensive workloads. The network currently supports 15,000+ GPUs including NVIDIA H100 and A100 models.

For GPU Users (Renters)

FluxEdge offers two deployment modes:

1. 1

   Quick Launch

   Select a pre-configured template (e.g., Jupyter Notebook, PyTorch, TensorFlow) and deploy with minimal configuration. The system automatically selects the best available GPU machines.

2. 2

   Custom Deployment

   Specify exact GPU requirements (model, VRAM, count), select specific machines, configure networking, and deploy your custom Docker image. Full control over the deployment environment.

Key Features

• •Projects: Organize deployments into projects. Each project tracks resource usage, billing, and deployment history.
• •Machine selection: Browse available GPU machines, view specifications, and filter by GPU model, location, and pricing.
• •Machine rating: Rate and review GPU machines after use. Helps the community identify reliable providers.
• •Local storage: Persistent storage volumes for model weights, datasets, and outputs.
• •Billing: Pay-as-you-go with FLUX tokens. Deposit funds to your account, and usage is deducted automatically.

For GPU Providers

To contribute GPU resources to FluxEdge, you need FluxCore (see the FluxCore article). FluxCore turns your desktop or server into a FluxEdge compute provider. You earn FLUX tokens for every hour your GPU is rented.

Account Management

• •Deposit Funds: Send FLUX to your FluxEdge deposit address
• •Audit: View complete billing history and resource usage
• •Balance: Check current balance and pending charges
• •Security Settings: Configure 2FA, anti-phishing codes, and session management
• •Notification Settings: Set up alerts for billing events and deployment status changes