> For the complete documentation index, see [llms.txt](https://docs.orbitfin.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.orbitfin.ai/part-5-deployment-and-integration/5.1-deployment-options.md).

# 5.1 Deployment Options

When adopting the Orbit platform, organizations have several deployment options to choose from, depending on their infrastructure preferences and specific needs. Whether you prefer a fully cloud-based solution, on-premise deployment, or a hybrid approach, Orbit offers flexible options to meet your requirements.

### 1. **SaaS Deployment on AWS**

Currently, the **SaaS version** of the Orbit platform is deployed on **Amazon Web Services (AWS)**. This option provides a fully managed, cloud-based solution that leverages the scalability, reliability, and security of AWS.

* **Benefits of AWS Deployment**:
  * **Scalability**: Easily handle increasing workloads as your use of the platform grows.
  * **Reliability**: AWS’s robust infrastructure ensures high availability and minimal downtime.
  * **Security**: Benefit from AWS’s advanced security features, which protect data and applications against threats.

This deployment option is ideal for organizations looking for a hassle-free, scalable solution without the need to manage their own infrastructure.

### 2. **Custom Deployment: Cloud or On-Premise**

For organizations that require more control over their deployment environment, **Orbit AI Studio** can be deployed on any cloud platform or in on-premise environments. This flexibility allows you to align the deployment with your existing infrastructure and compliance requirements.

* **Cloud Deployment**: In addition to AWS, we are soon launching an **Azure-native version** of the platform, allowing deployment on Microsoft Azure. This option is perfect for organizations that already utilize Azure for their cloud services.
* **On-Premise Deployment**: Orbit AI Studio can also be deployed within your own data centers. This is an ideal choice for organizations with strict data sovereignty, compliance, or security requirements.

#### **Advantages of Custom Deployment**:

* **Flexibility**: Choose the deployment environment that best aligns with your IT strategy.
* **Control**: Maintain full control over your data and the application environment.
* **Compliance**: Ensure compliance with internal and external regulations by hosting the platform in your preferred environment.

### 3. **Hybrid Deployment: API Access to Knowledge Bases**

While deploying the Orbit application on your preferred environment is straightforward, migrating Orbit’s extensive pre-built knowledge bases can be a complex and expensive exercise. To balance the benefits of custom deployment with the need for seamless access to data, we recommend a **hybrid deployment** approach.

* **Hybrid Deployment**: In this setup, the Orbit AI Studio is deployed in your chosen environment (cloud or on-premise), while access to Orbit’s pre-built knowledge bases is maintained via **APIs**.

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#### **Benefits of Hybrid Deployment**:

* **Cost-Effective**: Avoid the high costs associated with migrating large data sets.
* **Seamless Integration**: Access comprehensive data without the need to host it all internally.
* **Flexibility**: Combine the best of both worlds—custom application deployment with easy access to vast knowledge bases.

Hybrid deployment is a strategic approach that offers the flexibility of custom deployments while leveraging the rich data and insights provided by Orbit’s pre-built knowledge bases.