gpuintegrate

Routing blueprint

OpenAI-compatible inference on provider GPUs.

gpuintegrate routes model requests from your local agent to verified provider GPUs. Your tools and files stay on your computer; streamed model responses come back through one familiar API.

01Local agent

OpenClaw, Open WebUI, Continue, Cursor, an SDK, or your own app.

Base URL
https://gpuintegrate.com/v1
02gpuintegrate API + scheduler

Authenticates the request and selects an eligible provider node.

Available models
Checking capacity
03Verified provider GPU

Only approved nodes with a fresh heartbeat and the requested model receive work.

Live capacity
Checking live nodes
04Streaming response

Tokens stream back to the agent while tools and files stay on the customer computer.

SSE
stream=true ยท text/event-stream
Checking marketplace
-GPU nodes online
-Requests in 60m
-Routable models
-Average latency
View trust
Built for developers

Use the tools you already know.

OpenClawOpen WebUIContinueCursorOpenAI SDKsCustom apps
How it works

One request. Four explicit stages.

The route is simple for customers and strict about provider eligibility behind the scenes.

A customer laptop routes an AI request through gpuintegrate to a provider-owned GPU computer.
Your agent and files stay hereOnly inference requests are routedProvider GPU runs the model
01

Connect with one Base URL

Create an API key, select an available model, and point your OpenAI-compatible client to gpuintegrate.

02

Route to eligible capacity

The scheduler checks provider approval, node health, model readiness, capacity, and worker version.

03

Run inference on a provider GPU

The Provider App sends only model inference work to the local runtime. It does not expose the provider computer.

04

Stream tokens and settle usage

The response streams back to the customer, then the wallet ledger and provider earning are recorded.

Try the route

See the endpoint behavior before signing in.

The public demo is simulated, anonymous, and rate limited. A real completion requires a customer account and credits.

POSThttps://gpuintegrate.com/v1/chat/completions
Sample
Response

Run the sample to see an OpenAI-compatible response and an anonymous route snapshot.

Model discovery

Is capacity available now?

Read the public model catalog and safe availability counts.

Cost visibility

Estimate a token budget.

Estimated credits
1.35
Credits / 1M tokens
1.80
Illustrative only. Final cost uses the selected model, actual tokens, and successful requests.
Trust boundaries

Remote inference without remote computer control.

gpuintegrate routes model inference only. Customer agents do not gain access to provider machines.

Customer tools stay local

Files, shell commands, browser actions, and the agent runtime remain on the customer computer.

Providers expose inference only

Customers cannot open remote desktop, SSH, files, or arbitrary processes on provider computers.

Eligibility before routing

Only verified providers and approved nodes with a fresh heartbeat and ready model receive requests.

Ledger-backed billing

Successful usage, refunds, provider earnings, reversals, and payouts remain traceable.

No remote desktop, SSH, arbitrary customer containers, private host mounts, or cross-provider tensor parallelism.

Read the Trust Center
One marketplace, two clear paths

Use capacity or provide it.

For developers

Use provider GPUs through one familiar API.

Get a Base URL, API key, available model, streaming test, request trace, and transparent credit usage.

Open Agent Connect
For GPU providers

Turn idle GPU time into model capacity.

Install the Provider App, scan hardware, download a recommended model, start sharing, and track earnings.

Start provider setup
OpenAI-compatible from the first request

Connect your agent to a provider GPU.

Start with the Base URL, one API key, and a model that is available now.

Get API endpointRead the docs