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@infernetprotocol/deploy-providers

v0.1.45

Published

Adapters for deploying Infernet provider nodes to cloud GPU services (RunPod, vast.ai, Lambda, etc.).

Downloads

2,499

Readme

@infernetprotocol/deploy-providers

Adapters for one-click deploying an Infernet provider node to cloud GPU services. Currently supports RunPod; more to come.

Why

The canonical Infernet flow is "rent a GPU, install the CLI, start earning." The friction of SSH-ing into a rented box and running pnpm install -g @infernetprotocol/cli keeps that flow from ever being one click. This package wraps the cloud service APIs so the web dashboard can launch a pod running a pre-built Infernet provider image in a single POST.

Design

Each adapter is stateless. It receives the user's cloud API key in-band with each call and never persists it — the Next.js route that fronts this package simply proxies the call and drops the key on response. Treat each adapter like a pure HTTP client.

Adapters

  • @infernetprotocol/deploy-providers/runpod — RunPod's GraphQL API. Deploys a pod running the ghcr.io/profullstack/infernet-provider image.

Every adapter exports:

  • listGpuTypes(apiKey)Array<{ id, name, vramMb, pricePerHour, region? }>
  • createDeployment({ apiKey, gpuTypeId, name, env, ... }){ deploymentId, status, endpoint? }
  • getDeployment({ apiKey, deploymentId }){ status, endpoint? }
  • destroyDeployment({ apiKey, deploymentId }){ ok: true }

Required env on the deployed pod

The pod boots the infernet CLI; it needs at minimum:

  • SUPABASE_URL — the control-plane Supabase URL
  • SUPABASE_SERVICE_ROLE_KEY — service-role key for that project
  • INFERNET_NODE_ROLEprovider (default) / aggregator
  • INFERNET_NODE_NAME — human-readable name shown in the dashboard
  • INFERNET_P2P_PORT — default 46337

See tooling/docker/provider/ for the Dockerfile the adapter points at.