Become a host

Your GPU stops sleeping. It gets paid.

Lend your machine to the Korai network. Get a majority share of what users pay, per second of compute served.

Un nuevo host empieza a atender solicitudes cuando un administrador aprueba la cuenta; hasta entonces, tu worker reintenta conectarse por su cuenta.

Why host

Three concrete reasons.

Paid per second

Paid only when your machine serves a real inference job. No reservation fee, no idle charge.

Models stay current, automatically

The fleet is audited every 30 days and updates itself on your machine, with no service interruption and no action from you.

Requesters stay anonymous

Requests reach your machine without the requester's account, email or IP address. You do see the text your machine processes, so host only if you are comfortable with that.

Lo que necesitas

Dos familias de hardware compatibles.

Apple Silicon

M1/M2/M3/M4: funciona desde la configuración base. Cuanta más memoria unificada tengas, más avanzado será el modelo que Korai cargue — hasta varios modelos a la vez en las configuraciones más generosas.

NVIDIA

RTX 30/40/50, A-series, H-series. El script elige automáticamente el modelo más avanzado que tu VRAM puede cargar, usando un formato optimizado NVFP4 en las tarjetas Blackwell (RTX 50).

In detail

How it works, from terminal to bank transfer.

The full cycle on the host side, no gray areas: what the script does, what your machine sees, what ends up in your bank account.

01

Install the app

One command to copy-paste into the terminal (macOS, Linux, Windows). The script detects your hardware and installs the matching inference runtime.

02

Hardware detection

Your browser probes your GPU via WebGPU to suggest the right profile (Apple Silicon, NVIDIA, AMD). Nothing leaves your machine before you explicitly launch the worker.

03

Models load automatically

Your worker downloads the model(s) from Korai's signed manifest based on your available VRAM. The fleet is audited every 30 days: when a model changes, the new one downloads in the background and swaps in with zero downtime (hot-swap), with no action from you.

04

Your machine answers requests

The orchestrator sends requests to your GPU over a TLS connection. Your worker and the model engine read them in clear, and so can you: hosts see the text they process.

05

Paid by the second

Every inference served triggers an Ed25519-signed cryptographic receipt. 75% of what the user paid comes back to you, computed on the actual second of compute delivered, never on a reservation.

06

Tracked on your dashboard

Connected machines, jobs served, cumulative earnings: all visible at /platform/machines. Aggregated SEPA payout on the 5th of the following month.

Earnings

How much it pays.

An order of magnitude, not a promise: actual earnings depend on network demand while your machine is online.

These amounts are estimates. Actual earnings depend on network demand and on how many hours your machine is available.

The mechanism

75% of what the user pays comes back to you directly (25% to Korai), roughly €0.375 per million tokens generated, paid only for compute actually served. No reservation fee, no minimum hours.

HardwareIndicative throughputEstimated gross monthly*
RTX 4090~196 tok/s (~30B Q4 model)~€19-86
RTX 5090~850 tok/s~€83-372
Apple Silicon Mac, 32-64 GB (M2/M3 Max)~120 tok/s~€12-52

* Range based on 2.4 to 10.8 h/day of effective availability (10% to 45% of the time, depending on network adoption phase), at the host payout rate of €0.375/M output tokens. Gross amounts, before electricity. RTX 4090 throughput: docs/MODEL_FLEET.md. Methodology and payout split: docs/PRICING.md.

Setup

Three minutes is enough.

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Abierto a prosumidores en Europa

Pon tu GPU al servicio de Europa.

Comparte el tiempo libre de tu PC gaming o Mac Studio y cobra por cada segundo de cómputo que aportas. Tú decides: marca tus propios horarios, deténte cuando quieras.

  • Pagado por segundo de GPU
    Solo cobras cuando tu máquina sirve un trabajo de inferencia real. Sin reservas, sin tarifas por inactividad.
  • Par a par
    Un orquestador en París enruta las solicitudes hacia hosts como tú. Ningún centro de datos de hyperscaler ejecuta los modelos.
  • Parada en un clic
    Pausa o detiene el worker cuando quieras. Tú defines tu propia ventana de disponibilidad.

Sin tarjeta de crédito. Puedes desinstalar el worker en cualquier momento.