Connect your GPU and get paid for real workloads

Contributor AI turns your spare compute into income. You stay in control of when the worker is online, which GPUs are used, and can stop at any time.

Step‑by‑step

  1. 1. Sign up as a contributor. Choose “Contributor (have GPU)” on the sign‑up page.
  2. 2. Install and log in via CLI.
    npx @contributor-ai/client login
  3. 3. Start the worker. The worker will poll for tasks and execute them in containers.
    CONTRIBUTOR_API_URL=https://gpugrid.duckdns.org npx @contributor-ai/client run
  4. 4. Track jobs and payouts. Use the web dashboard to see active jobs, history and earnings.

Simple earnings estimator (rough, not a guarantee)

Client pays competitive rates (aligned with Vast.ai, RunPod). You receive 90%; platform keeps 10%.

Estimated monthly gross (after 10% platform fee): $178.20 USD

Client pays $0.55/hr → you receive $0.50/hr (90%).

360 GPU‑hours × $0.50 / hour.

Actual earnings depend on demand, job mix and uptime. Prices aligned with Vast.ai, RunPod and Lambda Labs.

Requirements & safety

  • • Stable internet connection and recent NVIDIA GPU with updated drivers.
  • • We recommend running on a dedicated machine (not your primary daily‑use PC).
  • • Jobs run in containers; by default they only see a working directory you configure.
  • • You can stop the worker at any time — tasks will be rescheduled to other contributors.