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Check the github issues for ways to contribute! Or provide your feedback in this quick form
Check the github issues for ways to contribute! Or provide your feedback in this quick form
This page is a work in progress.
TODO: Proper copy, edit, Streamline, Format & Style
TODO: Proper copy, edit, Streamline, Format & Style
What a Gateway Operator Does
Gateway operators handle:- Job intake and API requests
- Routing workloads to the best Orchestrator (GPU Node)
- Managing pricing, capabilities, and service metadata
- Publishing offerings (AI inference, video transcoding and more) to the Marketplace
- Monitoring job performance, latency, and reliability
Key Marketplace Features
1. Capability Discovery
Gateways and orchestrators list:- AI model support
- Versioning and model weights
- Pipeline compatibility
- GPU type and compute class
2. Dynamic Pricing
Pricing can vary by:- GPU class
- Model complexity
- Latency SLA
- Throughput requirements
- Region
3. Performance Competition
Orchestrators compete on:- Speed
- Reliability
- GPU quality
- Cost efficiency
- Routing quality
- Supported features
- Latency
- Developer ecosystem fit
4. BYOC Integration
Any container-based pipeline can be brought into the marketplace:- Run custom AI models
- Run ML workflows
- Execute arbitrary compute
- Support enterprise workloads
Marketplace Benefits
- Developer choice — choose the best model, price, and performance
- Economic incentives — better nodes earn more work
- Scalability — network supply grows independently of demand
- Innovation unlock — new models and pipelines can be added instantly
- Decentralization — no single operator controls the workload flow
Summary
The Marketplace turns Livepeer into a competitive, discoverable, real-time AI compute layer.- Gateways expose services
- Orchestrators execute them
- Applications choose the best fit