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Private & secure

Deploy Enterprise RAG applications in your secure environment.

The TitanML Enterprise Inference Stack makes deploying Enterprise RAG applications in your secure environment, effortless.

Deploy in your enviornment of choice
Deploy in your secure environment

Deploy in your virtual private cloud (VPC) or on-premise data center as the TitanML Enterprise Inference Stack is containerized. Make your deployments work for your environment, not the other way around.

Scaling is made easy as the TitanML Enterprise Inference Stack can be deployed, either as a standalone container, or as a part of an existing container management framework.

On-Prem
Virtual Private Cloud (VPC)
Public Cloud
Complete control
Maintain complete control over your models and datasets

Maintain full authority over your data, models, and applications as the TitanML Enterprise Inference Stack is a  self-hosted solution. This is not the case with API-based solutions.

Protect your Intellectual Property (IP), proprietary, and confidential data at all times. No third party (even TitanML) ever sees your data- particularly vital for mission-critical applications and regulated industries.

Integrations
Seamless integrations with your secure enviornments
  • Integrate with industry-leading environments including VertexAI, Sagemaker, AWS, Google Cloud Platform, and Azure.
  • The Titan Takeoff Inference Server’s container is compatible with your existing container orchestration frameworks, including Kubernetes. 
  • Integrate directly with your existing tools, from CI/CD pipelines to model monitoring frameworks.
FAQ

FAQs

01
What is a virtual private cloud (VPC)?

A virtual private cloud (VPC) is a secure and isolated cloud environment which empowers businesses to leverage the advantages of cloud computing whilst maintaining control over their resources. It allows for the creation of a virtual network with dedicated computing resources, providing enhanced security and flexibility. For large language models, utilizing a VPC is instrumental as it ensures a robust and controlled infrastructure, facilitating seamless scalability and resource allocation, thus ultimately optimizing model deployment. 

02
What is a containerized solution?

A containerized solution is a lightweight, standalone, and executable software package that encapsulates an application along with its dependencies, runtime, and system tools. Containers enable consistent and efficient deployment across various computing environments. The Titan Takeoff Inference Server is containerized using Docker so can be deployed your hardware and compute environment of choice. 

03
What is the difference between self-hosted and API-based Generative AI solutions? 

API-based Generative AI solutions (like OpenAI), host the model in external servers, meaning every time the model is called, both the data and the responses are sent outside your secure environment (to the environment where the model is hosted).

Self-hosted Generative AI solutions host your model and your application within your secure environment so no data or IP ever leaves your environment - i.e. the most private and secure method of deploying models on the market. The TitanML Enterprise Inference Stack provides the essential infrastructure required to self-host Generative AI models effortlessly. 

04
What makes the TitanML Enterprise Inference Stack different from other RAG deployment options?

The TitanML Enterprise Inference Stack is a set of technlogies, which make self-hosted LLM deployments, effortless. This guarantees total security of your models and data by allowing you to deploy in your own secure environment.

The TitanML Enterprise Inference Stack is different to other LLM deployment options in two main ways: 

1. More private and secure than API-based models, as it is a self-hosted solution.

2. Complexities of building and maintaining self-hosted model deployments, taken care of:
Unlike self-built solutions, the TitanML Enterprise Inference Stack is a high performance, battle-tested, enterprise-grade inference server which integrates fully with your environments - meaning you can build trusted applications right out the box.

05
How does the Titan Takeoff Inference Server ensure the security and privacy of my data?

The TitanML Enterprise Inference Stack runs in your secure environment and never sends any information about your models or data to TitanML's central servers. You remain in complete control, always.

06
Can I integrate the TitanML Enterprise Inference Stack with my existing cloud infrastructure?

Yes. The TitanML Enterprise Inference Stack is integrated with all common cloud and deployment infrastructures. 

07
Is the TitanML Enterprise Inference Stack suitable for regulated industries with stringent data security requirements?

Yes. The TitanML Enterprise Inference Stack has been designed with the most regulated industries in mind - i.e. those subject to SOC-2 and GDPR compliance. With Titan Takeoff , no data ever leaves the client's secure environment. 

08
Can I integrate the TitanML Enterprise Inference Stack with my existing container management frameworks?

Yes. The TitanML Enterprise Inference Stack is integrated with all common container management frameworks.