Private ChatGPT on Your Own Server

What is a private ChatGPT?

It is an AI assistant that looks and works like ChatGPT, but the model runs on your own server and nothing you type is sent to an outside AI company.

To be clear, it is not OpenAI’s ChatGPT service. It runs openly available large language models, such as Llama, Mistral or Gemma, hosted locally with tools like Ollama. Staff get the same chat-style experience. What changes is where the work happens.

Our private AI server setup page covers the hardware and installation. This page is about the assistant itself: what it is, how it compares with cloud options and what to expect from it.

How does a self-hosted LLM answer questions about your documents?

A self-hosted LLM answers from your files by first searching an index of your documents, then writing a reply from the passages it finds.

• The model: an open large language model running on the server’s GPU
• The index: your shared-drive documents, broken into passages and stored for vector search
• The interface: a private chat window in the browser, behind a sign-in
• The controls: who can reach which document sets, and usage logs that stay with you

Grounding answers in your own documents is what makes them accurate. A model that cannot see your contracts, policies and history tends to guess.

On-prem or VPC-isolated cloud: which private AI option fits?

On-premise keeps everything on hardware you own, while a VPC-isolated deployment runs the model in a walled-off section of a cloud provider’s network.

Cloud isolation can be a reasonable middle ground. But your data still sits on someone else’s infrastructure under their retention policies, and costs keep billing by usage. On-premise means no outside party, a fixed cost and an assistant that keeps working when the internet is down.

The trade-off is that you own the hardware and its upkeep. We can help you compare the options honestly, and our hybrid cloud consulting covers cases where some workloads belong in the cloud.

Is an on-prem ChatGPT alternative as good as the real thing?

For questions about your own business it is often more useful, though the largest cloud models still lead on general knowledge.

Open models that fit on office hardware are smaller than the biggest commercial models. That matters less than you might expect when the job is answering from your own documents, where context counts for more than size.

For open-ended general questions, a large cloud model may do better. For “what did we agree with this vendor last year?”, the assistant that can read your files does better.

What does it take to set up a private ChatGPT?

One server, a decision about which documents go in, and a short rollout for your staff.

Most offices start with a single NVIDIA DGX Spark in a secure room or server closet. We install the model and chat interface, connect the document sets you choose, set access by role and onboard your team. Optional remote access runs through a secure gateway.

We work from our shop at 335 Auburn Street in Auburndale (Newton), on-site across Greater Boston, and remotely, for offices in Boston and the suburbs. Not sure which hardware fits? Start with how to choose an on-premise AI server, and law offices should read private AI for law firms.