Run language models on underutilized GPUs from people around the world. Affordable, accessible inference powered by community-owned hardware.
Neurogrid connects people with underutilized GPUs to people who need affordable AI inference.
GPU owners contribute idle hardware to the network and earn from the workloads running on their machines. AI users reach distributed compute without owning expensive infrastructure.
The marketplace is the economic connection between the two.
Point any app that accepts an endpoint and an API key at Neurogrid. Placeholder examples below.
The open models currently served by community hardware, by lab.
Traditional AI infrastructure concentrates enormous amounts of computing power inside massive data centers. That infrastructure is expensive to build, expensive to operate, and often leaves enormous amounts of consumer hardware sitting idle.
Neurogrid takes a different approach: use the hardware that already exists.
Connect your underutilized GPU to Neurogrid.
The marketplace routes compatible workloads to available hardware.
AI workloads run on distributed community infrastructure.
GPU providers earn from the compute their hardware contributes.
Most GPUs sit unused for large parts of the day. Contribute that unused capacity and earn from workloads that would otherwise require centralized infrastructure.
Access the compute you need without owning the infrastructure required to produce it. Route your workloads through the marketplace and pay for what runs.
Handing your hardware to a network is a real decision. These are the questions people actually ask, answered without spin.
Bring your GPU. Bring your workloads. Help build a more accessible compute network.