n8bee
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Reserve early access

Turn idle GPUs into income

Universities, labs and studios: list spare NVIDIA or Ascend capacity on n8bee and earn per GPU-hour while it would otherwise sit idle.

Outbound only
The runner connects out over HTTPS. No open ports, no inbound SSH, works behind NAT.
Scoped access
Jobs get short-lived URLs for exactly the data they need. Revoke your pool token any time.
You set the price
Choose a rate per GPU-hour, the workloads you accept and the hours you're available.

How providing works

  1. 1

    Create a pool

    Register your lab box or cluster and receive a one-time enrollment token.

  2. 2

    Start the runner

    Run the n8bee runner container with GPU access. It detects your device, VRAM and drivers.

  3. 3

    Pull jobs

    The runner claims matching jobs, streams progress back and uploads results when done.

  4. 4

    Get paid

    Every completed GPU-hour is metered to your pool and paid out at your listed rate.

docker run -d --gpus all --restart unless-stopped \
  -e N8BEE_POOL_TOKEN=pool_... \
  n8bee/runner:cuda

Join the provider presale

Tell us what hardware you have. Early providers are onboarded first.

I'm interested in

No payment now. We only use your details to contact you about n8bee.

n8bee

The marketplace for AI models and GPU compute. Call models through an OpenAI-compatible API, rent GPU hours, or earn from the GPUs you already own.

Product
MarketplaceSell GPU capacityPresale pricing
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© 2026 n8bee. Presale prices are indicative; no payment is taken until launch.