Livepeer AI (SPE) Roadmap | Productlane
Livepeer AI (SPE)
Changelog
Requests
Requests
Discover our plans and suggest new improvements.
New request
Planned
Implement C2PA spec into pipelines
To ensure content provenance, we should integrate the C2PA specification into our pipelines.
1
Backlog
Add custom container support
After the AI subnet is stable we should add support for more custom containers.
0
Add communication protocol for long-running requests
For long-running requests, providing users with intermediate progress updates would be beneficial.
0
Implement AI job verification
To ensure network quality on the AI subnet, we should implement job result verification.
0
Communicate used model parameters back to Gateway
Provide gateways with a way to see which parameters were used during inference.
0
Network Analytics
Provide Gateways with on connection runner GPU stats
INC asked us to provide the gateway with GPU stats of the runner containers. This data can be used by their aggregator.
Nov 29
3
Improve Developer Experience
Create Generic inference job type
We should create a generic inference job type between pipelines.
0
Batch Jobs Support
Ensure container cleanup on AI worker shutdown
We should cleanup the started containers and release VRAM when the worker is shut down.
0
Completed
Increase Supply
Allow multiple gpus per capability
To enable more GPUs to join the network we should allow GPUs to run the same capability.
Aug 19
0
Batch Jobs Support
Add support for fine-tuned model hot swapping
We should implemented fine-tuned models to allow Os to serve a bigger range of models.
Sep 2
0
Improve Developer Experience
Generate Livepeer AI client SDKs
To improve the developer experience it is important to create client SDKs.
Sep 5
0
Backlog
Communicate AI-Runner errors to the Orchestrator
Currently under review
0
In Progress
Add Frame Interpolation in go-livepeer
Currently in progress
3
Ensure json string format works in `aiModels`
Currently in progress
0
Todo
Black images returned from ai-runner
Currently under consideration.
1
Create an AI orchestrator control dashboard
Currently under consideration.
0
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