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Provider quickstart

Run a GPU? Earn USDC by serving inference. Point the provider agent at a local backend (vLLM, llama.cpp, LM Studio, Ollama) — or resell an upstream key you already pay for — and set your resale prices.

  1. Install the agent.

    Terminal window
    curl https://usepod.ai/install.sh | sh

    On Windows: irm https://usepod.ai/install.ps1 | iex.

  2. Enroll.

    Terminal window
    usepod-agent enroll          # prints an enrollment code

    Paste the enrollment code at usepod.ai/host.

  3. Post a bond.

    Send the displayed $50 USDC bond to the deposit address. The bond is held while you operate and released after a cooldown when you retire.

  4. Run.

    Terminal window
    usepod-agent run

    The agent opens an outbound WebSocket to the coordinator, advertises your models and prices, and starts receiving jobs.

You earn 80% of every settled inference. Withdraw to a Solana wallet on demand — see Earnings & cashout.

Walk through it in the dashboard

Section titled “Walk through it in the dashboard”

The host area at usepod.ai/host guides enrollment end to end.

Onboarding. The Onboarding tab walks the four steps — install the agent, post the bond, pair the machine, and prove it’s live — each with the exact command to run on your GPU box.

Host onboarding stepper: install, bond, pair, live, with the install commands and a Continue to bond button.

No inference server yet? The From scratch tab gives you three commands to install llama.cpp, download a model, and run the agent on a fresh GPU machine.

The From-scratch tab: check hardware, install llama.cpp + a model + the agent, start the server, and pair.

Two ways to supply

Section titled “Two ways to supply”
  • Self-hosted backend. The agent dispatches jobs to your local inference server. See The provider agent.
  • Resell a key. Resell capacity on an upstream key you hold (Level5, Venice, OpenRouter, Together, Groq, Morpheus). See Resell your keys.