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Provider Guide

Last updated: March 12, 2026

Overview

As a DC1 provider, you share your GPU hardware to earn revenue from compute jobs. This guide walks you through the entire process from registration to earning.

Step 1: Register

Visit dc1-platform.vercel.app/provider/register and fill in your details: name, email, GPU model, and operating system. After registration, you will receive a unique API key — save this key securely, it is your authentication credential.

Step 2: Install the Daemon

After registration, you will see platform-specific install commands:

Linux / macOS:

Run the curl command shown on screen to download and start the DC1 daemon. The daemon is a Python script that connects your GPU to the DC1 network.

Windows:

Run the PowerShell command shown on screen. This downloads and executes the setup script which installs the daemon as a background service.

Step 3: Daemon Connection

Once running, the daemon sends a heartbeat every 30 seconds with your GPU status (model, VRAM, temperature, utilization). The registration page will show your status change from "waiting" to "online" in real-time.

Step 4: Receiving Jobs

When a renter submits a job that matches your GPU, the daemon automatically picks it up, runs the computation, and reports the result back. You don't need to do anything — the daemon handles everything.

Supported Job Types

  • LLM Inference — Running large language models (billed at 15 halala/min)
  • Image Generation — Stable Diffusion and similar models (billed at 20 halala/min)

Earnings

You receive 75% of compute revenue. Earnings are tracked in real-time on your provider dashboard at dc1-platform.vercel.app/provider. The dashboard shows today's earnings, weekly earnings, total earnings, and completed jobs.

Managing Your Provider

  • Pause — Temporarily stop receiving jobs (your GPU stays registered)
  • Resume — Start receiving jobs again after a pause
  • Settings — Configure run mode (always-on or scheduled), GPU usage caps, VRAM reserve, and temperature limits

Requirements

  • NVIDIA GPU with CUDA support
  • Python 3.8 or later
  • Stable internet connection
  • At least 4GB VRAM (8GB+ recommended for image generation)

Troubleshooting

If your daemon shows as offline, check that the Python process is running and that your firewall allows outbound HTTPS connections. For further help, visit dc1-platform.vercel.app/support.