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 nuovo host inizia a servire richieste quando un amministratore approva l’account; fino ad allora il worker riprova a connettersi da solo.

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.

Cosa serve

Due famiglie di hardware supportate.

Apple Silicon

M1/M2/M3/M4: funziona fin dalla configurazione base. Più memoria unificata hai, più avanzato è il modello che Korai carica — fino a più modelli contemporaneamente sulle configurazioni più generose.

NVIDIA

RTX 30/40/50, A-series, H-series. Lo script sceglie automaticamente il modello più avanzato che la tua VRAM può caricare, con un formato ottimizzato NVFP4 sulle schede 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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Aperto ai prosumer in Europa

Metti la tua GPU al servizio dell’Europa.

Condividi il tempo libero del tuo PC gaming o Mac Studio e vieni pagato per ogni secondo di calcolo che fornisci. Sei tu il capo: imposta i tuoi orari, fermati quando vuoi.

  • Pagato al secondo GPU
    Vieni pagato solo quando la tua macchina serve un vero job di inferenza. Nessuna prenotazione, nessuna tariffa di inattività.
  • Peer-to-peer
    Un orchestratore a Parigi instrada le richieste verso host come te. Nessun data center di hyperscaler esegue i modelli.
  • Stop con un clic
    Metti in pausa o esci dal worker in qualsiasi momento. Dichiari tu stesso la tua finestra di disponibilità.

Nessuna carta di credito. Puoi disinstallare il worker in qualsiasi momento.