> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://murf.ai/api/docs/text-to-speech/on-premise/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://murf.ai/_mcp/server.

# Falcon 2 On-Premise Deployment

> Deploy Murf Falcon 2 TTS on-premise to process your voice data in your own infrastructure.

Falcon 2 On-Premise deployment gives businesses full control over their text-to-speech data, enabling enhanced security, privacy, and compliance. This deployment model is ideal for regulated industries and sensitive use cases where data governance is critical.

Falcon 2 can be deployed within your organization’s own infrastructure, either in a private data center or a private cloud environment. This setup provides:

* Complete in-house management
* Sub-100 ms latency performance
* Customizable configurations tailored to enterprise needs

## Deployment Options

### Option 1 – Private Data Center (On-Prem Hardware)

Run Falcon 2 on your own physical servers for maximum control and predictable performance. This option is ideal for high-volume workloads and teams with in-house IT and operations expertise. With this setup, your IT team manages dedicated compute and storage resources, ensuring optimal performance and security. This approach allows for predictable capacity planning and delivers long-term cost efficiency through consistent infrastructure utilization.

### Option 2 – Private Cloud (Your VPC)

Deploy Falcon 2 within your own isolated Virtual Private Cloud (VPC) on major cloud providers such as AWS, Azure, GCP, or OCI. This configuration ensures that your data remains entirely within your account, as you retain full control over encryption keys, network access, and identity management. It also enables flexible autoscaling and supports multi-Availability Zone deployment patterns for resilience and performance. If your organization uses a different cloud provider, the Murf team can tailor the deployment to suit your specific environment and requirements.

## Quickstart

This guide walks you through setting up your own Murf Falcon 2 On-Prem deployment using an AWS server.
The on-prem deployment includes two core components:

1. **Murf Local License Agent (LLA)** – An on-premises licensing proxy that enables secure, high-performance text-to-speech generation within your network.
2. **Murf TTS Server** – The core engine that generates speech from text, optimized for fast response times and easy scaling.

![On-Premise Architecture](/api/docs/_fern-img/b4c49123c778046c3418850698497b57f55f0be520fe07ea49ac0d52867d6751.webp)

Get started with the Murf Local License Agent in under 60 minutes on a single machine:

#### [Set Up LLA](/api/docs/text-to-speech/on-premise/set-up-lla)

Install and configure the Murf Local License Agent (LLA) on your server.

#### [Set Up TTS Server](/api/docs/text-to-speech/on-premise/set-up-tts-server)

Install and configure the Falcon 2 TTS Server on your server.

### Engage with the Murf Team

To begin, contact us to activate your on-prem license and receive access to deployment assets.

A dedicated Murf representative will:

* Set up your enterprise account
* Share container access credentials
* Guide you through POC, scaling, and production deployment
* Provide ongoing support, updates, and customization options

## Support

Got questions? Our team is here to help.

#### [Email](mailto:support@murf.ai)

Drop us an email at **[support@murf.ai](mailto:support@murf.ai)**

#### [Contact Sales](https://murf.ai/enterprise?src=d_contact_sales_api_docs)

Get in touch with our sales team

> Deploy Murf Falcon 2 TTS on-premise to process your voice data in your own infrastructure.

## Docs

- [Set up LLA](https://murf.ai/api/docs/text-to-speech/on-premise/set-up-lla.md): Install and configure the Murf Local License Agent (LLA) on your server.
- [Set up Falcon 2 TTS Server](https://murf.ai/api/docs/text-to-speech/on-premise/set-up-tts-server.md): Install and configure the Falcon 2 TTS Server on your server.