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is developing a serverless, distributed compute network that enables internet-scale data processing, AI, ML & other arbitrary computation, while unleashing idle processing power & unlocking a new marketplace for compute.
You can use Lilypad to run AI workload models including Stable Diffusion and Stable Diffusion Video, or you can add your own module to run on the Lilypad Network. Using Lilypad's distributed compute nodes, you can build and run your own containerized workloads that require high-performance computing.
A Lilypad Job Module is a standard containerized (Docker) process for running compute workloads on Lilypad. Easily deploy an AI model or other compute intensive workloads to the Lilypad decentralized GPU network. Learn more about running AI workloads via , and use our or to start sending job requests.
Build your own Lilypad job modules either or with our package.
The Lilypad Network aggregates idle compute (CPU and GPU) capacity from providers around the world. Compute providers on the network are referred to as .
If you're interested in becoming a Lilypad Resource Provider, first make sure that you meet our , then register for the . Learn more about running a Resource Provider on Lilypad !
There are many ways to for participating in the Lilypad economy! Resource Providers earn rewards for running compute jobs and the community earns rewards for building on the network and supporting the ecosystem! Find all rewards opportunities below:
Apply to the RP Beta program and earn Resource Providers
Join the by submitting info
Add a model to run on Lilypad or build a project listed in the
Complete open source
and start contributing!
View the .
