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Lilypad is powering democratic participation in the AI Innovation Economy by pioneering new avenues for anyone to deploy, distribute and monetize AI models.

As a full-stack, modular AI services platform, Lilypad provides:

A model marketplace for publishing and monetizing AI workloads
MLOps tooling for managing and scaling AI pipelines
A distributed, on-demand GPU network for high-performance inference across agent workflows, ML research and DeSci applications

Lilypad acts as a:

Demand engine for decentralized compute and storage
Distribution layer for training networks and agentic frameworks
Bridge across data, compute and AI ecosystems, enabling straightforward integration

Real-World Impact

In partnership with Dell, Dr. Michael Levin, and Amelie Schroder (Hugging Face's top bioML creator), Lilypad powered a protein folding AI model that discovered a novel heart medication, now progressing through wet-lab validation. We are now working with Dell to build a permissioned, licensable version of the Lilypad Network for enterprise AI adoption.

Run AI Workloads

Lilypad makes it easy to run containerized AI models across a global, decentralized GPU network with no infrastructure setup required. Whether you're working with image generation models like Stable Diffusion and SDXL, text-to-video models, LLMs, or custom AI workloads, Lilypad provides the compute layer to scale inference on demand.

You can:

Deploy models as Lilypad Job Modules using standard Docker containers
Trigger jobs via our CLI or inference API, with full support for passing inputs and capturing outputs
Integrate into ML pipelines or agent workflows, using Lilypad as a backend for large-scale AI tasks
Leverage the modular architecture to compose your own workflows, fine-tune models, or chain outputs across models

If you're building an app, automating research, or experimenting with new architectures — Lilypad gives you a permissionless, cost-efficient path to run your AI anywhere.

Provide Compute

Join the Lilypad Network as a Resource Provider and earn rewards by contributing your idle GPU or CPU power to run real AI jobs. Whether you're a solo builder with a gaming rig or an organization managing fleets of GPUs, Lilypad lets you monetize underused compute by connecting directly to demand from developers, researchers and decentralized applications.

As a Resource Provider, you’ll:

Run containerized workloads from users across the network
Earn rewards for completed jobs
Retain full control over your hardware with no lock-in or custodial overhead
Support open innovation by enabling inference for DeSci, agent frameworks, AI art tools, and more

Lilypad’s compute layer is permissionless, modular, and designed to scale. We support consumer GPUs, data center hardware, and containerized environments — including Linux hosts and Docker-native setups.