GPU compute for teams, without owning hardware
Contributor AI gives you a pool of distributed GPUs for inference, fine‑tuning and batch jobs. You focus on models and data — we handle capacity and contributors.
How to start as a client
- 1. Create a client account. Use your work email so we can verify your company if needed.
- 2. Create your first job. Describe the workload, upload config or image, set priority and budget cap.
- 3. Watch the job run. We schedule it across suitable contributors and show live status in the dashboard.
- 4. Download results and logs. When done, you can fetch outputs via UI or API and review logs.
- 5. Scale out. Add more jobs or integrate our API into your pipelines and CI.
Pricing model
- • You are billed per GPU‑hour, plus storage and network where applicable.
- • You can set a hard budget per job; tasks stop when the limit is reached.
- • Higher priority queues reserve more capacity during busy periods.
- • Volume discounts and dedicated capacity are available for long‑term usage.
Prices aligned with Vast.ai, RunPod, Lambda Labs — competitive GPU cloud rates.
GPU pricing (per hour, USD)
Competitive with Vast.ai, RunPod and other GPU marketplaces.
| GPU | VRAM | $/hr |
|---|---|---|
| RTX 3060 | 12 GB | $0.22 |
| RTX 3080 | 10 GB | $0.38 |
| RTX 4090 | 24 GB | $0.55 |
| A100 | 40 GB | $0.58 |
Full client guide
Open guide →For clients — step by step
You do not need Tailscale — only a browser. For jobs to run, the platform operator sets up Tailscale between the server and the GPU PC. Full guide: /tailscale Tailscale setup
- 1. Sign up as Client
Open Sign up → choose Client. Sign in at gpugrid.duckdns.org.
- 2. Top up balance
Dashboard → My jobs → Top up. Demo top-up adds USD to your account (no card yet).
- 3. Create a job
New job → Title + Description. Put lyrics in Description (Verse/Chorus tags work). Set budget (USD). Submit.
- 4. Wait for the GPU
Status pending → running → completed (usually 3–15 min for audio). Page refreshes every 8 seconds.
- 5. Get the result
When status is completed, download MP3 via API: GET /api/tasks/{taskId}/artifact (Bearer token from Sign in).
FAQ
- Why does the site say Remote GPU offline?
- ACE-Step is not running on the PC, or Tailscale is disconnected. Start acestep-api and check Tailscale on both devices.
- Do I need a contributor if the platform has remote GPU?
- Jobs can run on the platform's connected PC automatically. Contributors are for extra capacity and other machines.
- What task types are supported now?
- Audio generation with lyrics via ACE-Step (ace_step_audio). More GPU task types coming later.
Who is this for?
- • Product teams running LLM and vision inference in production.
- • Data science groups with spiky training workloads.
- • Agencies and studios that occasionally need a lot of GPU power.