Definition
Gateways serve as the primary demand aggregation layer in the Livepeer network. They accept video transcoding and AI inference requests from end customers, then distribute these jobs across the network of GPU-equipped Orchestrators. In earlier Livepeer documentation, this role was referred to as a broadcaster. Mental ModelFrom a Cloud Background?
From a Cloud Background?
Running a Gateway is similar to operating an API Gateway or Load Balancer in cloud computing —
it ingests traffic, routes workloads to backend GPU nodes, and manages session flow
without doing the heavy compute itself.
From an Ethereum Background?
From an Ethereum Background?
Running a Gateway is not like running a validator on Ethereum.
Validators secure consensus whereas Gateways route workloads. It’s more akin to a Sequencer on a Layer 2.
Just as a Sequencer ingests user transactions, orders them, and routes them into the rollup execution layer,
a Livepeer Gateway performs the same function for the Livepeer compute network.
Neither? You can still run a gateway!
Neither? You can still run a gateway!
For the rest of us, running a Gateway is like being a film producer.
You take a request, assemble the right specialists, manage constraints,
and ensure the final result is delivered reliably—without doing every task yourself.
What is a Gateway?
Gateways are the entry point for applications into the Livepeer compute network. They are the coordination layer that connects real-time AI and video workloads to the orchestrators who perform the GPU compute. They operate as the essential technical layer between the protocol and the distributed compute network. A gateway is a self-operated Livepeer node that interacts directly with orchestrators, submits jobs, handles payment, and exposes direct protocol interfaces. Hosted services like Daydream operate as both application layers and Gateways. A Gateway is responsible for- validating requests
- selecting Workers
- translating requests into Worker OpenAPI calls
- aggregating results
What Gateways Do
Gateways handle all service-level logic required to operate a scalable, low-latency AI video network:-
Job Intake
They receive workloads from applications using Livepeer APIs, PyTrickle, or BYOC integrations. -
Capability & Model Matching
Gateways determine which orchestrators support the required GPU, model, or pipeline. -
Routing & Scheduling
They dispatch jobs to the optimal orchestrator based on performance, availability, and pricing. -
Marketplace Exposure
Gateway operators can publish the services they offer, including supported models, pipelines, and pricing structures.
Gateway Functions & Services
Learn More About Gateway Functions & Services
Why Gateways Matter
As Livepeer transitions into a high-demand, real-time AI network, Gateways become essential infrastructure. They enable:- Low-latency workflows for Daydream, ComfyStream, and other real-time AI video tools
- Dynamic GPU routing for inference-heavy workloads
- A decentralised marketplace of compute capabilities
- Flexible integration via the BYOC pipeline model