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What’s your goal?

You want to route AI inference (text-to-image, image-to-video, LLM, live AI) through Livepeer’s GPU network - no ETH required.Your path:
  1. - what gateways do and don’t do
  2. - gateway running in minutes via Docker
  3. - supported models, request formats, capabilities
  4. - business models for AI gateway operators
Off-chain gateways use a remote signer for payments - zero crypto knowledge needed at the gateway layer.

Operational Mode

“On-chain” and “off-chain” describe your gateway’s operational mode - how it integrates with the Livepeer protocol. All workloads run off-chain on orchestrator hardware.
Running both video and AI workloads from a single node (“dual configuration”) is a workload setup choice, not an operational mode. An on-chain gateway supports all workload types. See for details.

Your journey through the docs

The gateway documentation follows a six-section structure. Each section builds on the previous one - but you can jump to any section that matches where you are.

Guides by topic

Each guides subsection covers a specific operational area. Expand any topic to see what’s inside.
Compare on-chain vs off-chain, SDK alternatives, and dual-gateway configuration. Helps you pick the right setup approach before starting installation.
Understand every workload type gateways can route - video transcoding, AI inference, BYOC custom pipelines, and pipeline configuration.
How payments flow, funding requirements, pricing strategy, clearinghouse operations, and remote signer setup.
Health checks, Prometheus/Grafana monitoring, on-chain metrics, available tools and dashboards, and troubleshooting guides.
Orchestrator selection strategy, scaling, middleware, and publishing a gateway to the network.
Business models, NaaP platform building, SPE grant funding, and the ecosystem of gateway operators.
Step-by-step walkthroughs for specific tasks - from BYOC CPU pipelines to full gateway-orchestrator setups.

Find your entry point by persona

Last modified on March 16, 2026