Neurogrid Community Cloud

The Inference Marketplace Built by the People, for the People.

Run language models on underutilized GPUs from people around the world. Affordable, accessible inference powered by community-owned hardware.

Open ConsoleContribute a GPU
01 — The marketplace

One network.
Two sides.

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.

02 — Use cases

Works with the tools you already use.

Point any app that accepts an endpoint and an API key at Neurogrid. Placeholder examples below.

Coding agent

IDE plugin

An IDE assistant sends completions and chat through Neurogrid instead of a single hosted model.

ng config set model deepseek-r1
ng config set endpoint https://api.neurogrid.dev/v1
Terminal client — nrgrd-tui

nrgrd-tui

Neurogrid's own terminal client. Browse the models available on the network, see which providers are online, and run inference straight from the shell.

nrgrd                    # interactive TUI
nrgrd "explain this repo"
nrgrd --model qwen3-coder "fix the failing tests"
Chat gateway — OpenClaw
OpenClaw

OpenClaw

OpenClaw is a self-hosted gateway that connects Discord, Slack, Telegram and other chat apps to AI coding agents. Point its model config at a Neurogrid deployment to run those agents on community GPUs instead of a centralized provider.

agents: {
  defaults: {
    model: { primary: "openai/qwen3-32b" },
    baseUrl: "https://api.neurogrid.dev/v1"
  }
}
Self-hosted UI — Open WebUI
Open WebUI

Open WebUI

A self-hosted chat interface, pointed at a Neurogrid deployment through its OpenAI-compatible connection settings. Each conversation runs on whichever community GPU the marketplace matched.

OPENAI_API_BASE_URL=https://api.neurogrid.dev/v1
OPENAI_API_KEY=ng-••••••••••••••••
Any API-key app

Endpoint + API key

Anything that speaks an OpenAI-compatible API works: agents, IDE plugins, scripts, internal tools.

curl https://api.neurogrid.dev/v1/chat/completions \
  -H "Authorization: Bearer $NG_KEY" \
  -d '{"model":"llama-3.3-70b"}'
Batch workloads

Pipelines & agents

Queue long-running batch jobs across many providers at once and pay only for the compute that runs.

ng jobs submit batch.jsonl \
  --model mistral-small \
  --concurrency 24
Coding agent

IDE plugin

An IDE assistant sends completions and chat through Neurogrid instead of a single hosted model.

ng config set model deepseek-r1
ng config set endpoint https://api.neurogrid.dev/v1
Terminal client — nrgrd-tui

nrgrd-tui

Neurogrid's own terminal client. Browse the models available on the network, see which providers are online, and run inference straight from the shell.

nrgrd                    # interactive TUI
nrgrd "explain this repo"
nrgrd --model qwen3-coder "fix the failing tests"
Models on the network

The open models currently served by community hardware, by lab.

OpenAI
Mistral AI
Meta
Qwen
DeepSeek
Gemma
GLM
Lower cost
More accessible compute
Distributed infrastructure
Community-owned capacity
Better hardware utilization
A new income stream for GPU owners
03 — Distribution

Compute shouldn’t live in a handful of buildings.

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.

01

Contribute

Connect your underutilized GPU to Neurogrid.

02

Match

The marketplace routes compatible workloads to available hardware.

03

Compute

AI workloads run on distributed community infrastructure.

04

Earn

GPU providers earn from the compute their hardware contributes.

For providers

Turn idle hardware into income.

Most GPUs sit unused for large parts of the day. Contribute that unused capacity and earn from workloads that would otherwise require centralized infrastructure.

For AI users

Inference without the infrastructure bill.

Access the compute you need without owning the infrastructure required to produce it. Route your workloads through the marketplace and pay for what runs.

04 — Straight answers

Before you connect a machine.

Handing your hardware to a network is a real decision. These are the questions people actually ask, answered without spin.

What actually runs on my GPU?

Isolated inference workloads, nothing else. Each job runs contained, without access to the rest of your system.

Does anyone read the traffic?

No. Intercepting, logging or retaining the contents of inference passing through your hardware is grounds for permanent suspension. It is written into the Manifest.

How much will I earn?

It depends on your hardware and on real demand. We would rather show you nothing than publish an earnings figure we cannot stand behind.

Join the network.

Bring your GPU. Bring your workloads. Help build a more accessible compute network.

Join NeurogridOpen Console