> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getlilac.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Kubernetes operator program

> Contribute idle GPU capacity to Lilac's shared inference network from an existing Kubernetes cluster.

Lilac's Kubernetes operator lets suppliers make idle GPUs available to the shared inference network without displacing their own workloads. The operator starts inference workloads when eligible capacity is idle and steps aside when the cluster needs those GPUs back.

<Note>
  This program is for idle capacity in Kubernetes clusters. For a direct relationship around current or planned bare-metal capacity, see [Bare-metal partnerships](/suppliers/bare-metal).
</Note>

## How it works

<Steps>
  <Step title="Keep your workloads first">
    Your existing jobs retain priority. Lilac uses only the capacity made eligible through your GPU pool configuration.
  </Step>

  <Step title="Run inference in idle windows">
    The operator detects eligible GPUs, starts inference pods, and serves traffic from Lilac's inference network.
  </Step>

  <Step title="Earn per token">
    You receive 70% of the gross inference revenue processed on your hardware. Lilac retains 30%.
  </Step>

  <Step title="Reclaim capacity">
    When your workloads need the GPUs, the operator drains Lilac inference pods according to the configured preemption policy.
  </Step>
</Steps>

## Revenue model

|                    |                                        |
| ------------------ | -------------------------------------- |
| **Supplier share** | 70% of gross token revenue             |
| **Lilac share**    | 30%                                    |
| **Payout basis**   | Tokens processed on your hardware      |
| **Reporting**      | Supplier dashboard and monthly reports |

## Requirements

* A Kubernetes cluster with supported GPUs
* `kubectl` access to the cluster
* A Lilac supplier account

<Card title="Start operator onboarding" icon="arrow-right" href="/suppliers/getting-started">
  Create an account, share your cluster details, and schedule onboarding.
</Card>

## Related

* [How the operator works](/suppliers/operator/how-it-works)
* [GPU pool configuration](/suppliers/operator/gpu-pools)
* [Preemption](/suppliers/operator/preemption)
* [Revenue and payouts](/suppliers/revenue)