Loomgrid
Decentralized AI compute

Shared computefor useful work.

Turn idle GPU power into useful AI compute. Explore how inference, verification, and independent providers fit together.

01 model capability02 queue depth03 verified work04 settlement path
Earn from idle GPUsExplore how useful GPU work could earn rewards.Run AI workloadsShape an AI request and explore its compute needs.A global, open networkIndependent providers. Greater access. A woven open AI future.

Three threads. One network.

Build. Power. Own.

One network, designed for everyone who creates, supplies, or owns the intelligence running through it.

FOR DEVELOPERS

Weave a useful request.

The core idea: route open-model requests to independent GPUs, match the workload, and verify the result. Explore the path from a request to useful compute.

Start building

Diagram: an API request is routed across eight GPU nodes and recombined into one verified response.

FOR GPU OWNERS

Make every thread count.Rewards follow useful work.

Choose a browser or machine setup. Work must be requested, completed, and verified before any provider reward can be earned.

Start earning

Diagram: three chosen workload levels converge into a verification checkpoint. These are mechanism inputs, not live utilization.

FOR NETWORK OWNERS

Follow the shared value.

Explore the proposed revenue rule: half of network margin for token supply reduction, half for stakers. Change the input to understand the split.

Explore the mechanism

Diagram: network revenue splits into exactly two halves — 50% distributed to stakers, 50% of the token burned from supply.

Independent power needs a common fabric.

Bring a request. Bring a machine. Build the fabric.

Enter LoomgridView the network