Private & Self-Hosted LLM Deployment

Server hardware for a self-hosted, on-premise LLM

Private LLM deployment, so your data stays where you decide

Public AI tools are convenient, but every prompt sends your information to someone else's service. For contracts, client records, financials or anything covered by the PDPA, that is often a step too far. A private LLM is a large language model that runs in an environment you control, whether that is a self-hosted, on-premise server or a private setup of your choosing, so your data is not shared with a public AI service.

CARE runs its own private LLM in-house, and we build private LLMs for clients, customised to their requirements.

What a private LLM deployment covers

Understanding the use case. What the model needs to do, which data it should see, and who should be able to use it.
Choosing the model. Open-source models such as Llama, Qwen or Mistral, or the model your business requires.
Planning the environment. Sizing the servers and setting up the infrastructure in your environment, with help from our server implementation and IT infrastructure teams.
Customising it. Shaping the model's behaviour and connecting it to your own documents and systems.
Securing it. Access control, logging and network protection designed with our IT security team.
Supporting it. Updates, monitoring and help for your staff after it goes live.

Self-hosted LLM or public AI?

A self-hosted LLM is not always the answer. Public AI services are quick to start and suit plenty of everyday work. A private, on-premise LLM is the better choice when the information is confidential, when you need to know exactly where data goes, or when clients and regulators expect it. We help you decide honestly, and some businesses use both: public AI for general tasks and a private model for sensitive ones.

Engineer checking servers for an on-premise LLM

Why CARE for private LLMs

We run one ourselves. CARE operates its own private LLM in-house, so we know what it takes day to day.
Infrastructure and security under one roof. Servers, networks and security are what we have done for Singapore businesses since 2007.
Certified to ISO/IEC 27001:2022. CARE is held to a recognised information security standard as a company.
Connected to your work. We can link the model to your systems through AI integration and MCP connectors.

Frequently asked questions

What is a private LLM?
It is a large language model that runs in an environment you control instead of a public AI service, so your prompts and documents are not shared outside it.

Can a private LLM run on premise?
Yes. An on-premise LLM runs on servers in your own environment. We help plan and set up the infrastructure it needs.

Which models can you deploy?
Open-source models such as Llama, Qwen and Mistral, or whichever model your business requires.

Does a private LLM help with PDPA?
It helps you keep personal data within an environment you control, which supports your obligations. You still need the right policies and processes, and our guide to PDPA for SMEs covers the basics.

Want AI without handing your data to a public service? Talk to CARE about a private LLM built around your requirements, or see our wider AI consulting services.