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

# On-Prem & Customer Cloud

> Deploy Subconscious inference in your own infrastructure

For organizations with strict data residency, compliance, or network isolation requirements, we deploy Subconscious inference directly into your infrastructure, whether that's your own cloud (AWS, GCP, Azure) or an on-premises data center.

The full on-prem guide now lives in the dedicated On-Prem section. Start with [On-Prem overview](/on-prem/overview) for the Subconscious Inference System overview, component guides, deployment methods, integration journey, and compliance details.

<CardGroup cols={3}>
  <Card title="Data residency" icon="lock">
    All data stays within your network boundary, and nothing leaves your environment
  </Card>

  <Card title="Full inference stack" icon="server">
    Model serving, API gateway, and monitoring deployed in your infrastructure
  </Card>

  <Card title="White-glove setup" icon="handshake">
    Our team works directly with your infrastructure and security teams
  </Card>
</CardGroup>

<Card title="Read the On-Prem guide" icon="book-open" href="/on-prem/overview">
  Learn how the API Gateway, Inference Runtime, Distribution Platform, Deployments, Integration journey, and Trust center fit together for customer-hosted deployments.
</Card>

## Deployment Options

### Customer Cloud

We deploy into your existing cloud environment:

* **AWS**: EKS, EC2, or SageMaker-based deployment
* **GCP**: GKE or Compute Engine deployment
* **Azure**: AKS or VM-based deployment
* **BaseTen**: Deploy dedicated GPUs
* **Together AI**: Deploy our inference system on Dedicated GPUs
* **Crusoe**: Deploy our inference system on Dedicated GPUs

Your data never leaves your cloud account. We provide the container images, configuration, and deployment automation.

### On-Premises

For air-gapped or fully on-premises environments:

* Deploy to bare metal or virtualized GPU infrastructure
* No internet connectivity required after initial setup
* Full control over network policies and access

## What's Included

* **Model weights and serving infrastructure** optimized for your hardware
* **OpenAI- and Anthropic-compatible API endpoint** running inside your network with the same API you already use
* **Monitoring and observability** including health checks, metrics, and logging
* **Ongoing support** with updates, patches, and direct engineering support

## Requirements

* GPU infrastructure (specific requirements depend on deployment size)
* Container orchestration (Kubernetes preferred)
* Network access for initial setup and updates (can be air-gapped post-setup)

<Card title="Get in Touch" icon="phone" href="https://www.subconscious.dev/product/gpu-managers/contact">
  Fill out our contact form to scope your on-prem deployment.
</Card>