What Is a Private GPT? How Enterprises Run ChatGPT-Style AI on Their Own Servers

Every business requires the speed and efficiency of AI to improve the productivity of its employees. However, they can’t streamline its use at full scale because of the data security issues on public AI servers. Businesses that deal with sensitive and confidential information, including healthcare, banking, and legal, often face this issue with AI tools.

This is where Private GPT comes into play- a messaging-style AI chatbot like ChatGPT that processes and saves information on private servers with no outside access. Businesses can use this AI assistant to enhance their productivity without worrying about data security problems. This guide explains what a Private GPT is, how it works, who needs it, and how Vanik Edge helps enterprises use private AI on their own servers.

What is Private GPT?

Private GPT is a personal AI chatbot with a messaging interface like ChatGPT that saves your data in your own controlled environment. If you upload a file or type confidential details in the chat, the AI will keep it inside the building on your personal servers. This air-gapped AI model can also be installed on your own cloud account to process information within a high-security environment.

Private GPT is often used interchangeably with other terms like enterprise AI, self-hosted LLM, or on-premise AI, but the objective is the same- using AI for its speed and accuracy to process data without exposing it to outside servers. Your employees get a personal AI assistant for enhanced workflow, and the data stays inside the building.

Private GPT vs Custom GPT: What’s the Major Difference

The major difference lies in where the data is saved and processed in both models. Custom GPT can be set to public, but as it is created within a public AI platform, access is limited; however, the data is still processed on external servers.

Whereas the Private GPT is highly secure, the model runs on your provided IT infrastructure or cloud account, providing you more control over where your data is saved and processed.

Why Are Enterprises Moving to a Private GPT?

Companies face the problem of shadow AI- unsanctioned use of AI tools by employees. When they upload a file containing sensitive information like contracts or customer details and click Send, the information leaves the building, and it is out of the company's control. However, banning tools is not the final solution; AI provides exceptional accuracy and speed, which increases productivity. Hence, Private GPT is a reliable answer, especially for companies in legal, healthcare, banking, and Government.

Private GPT offers great benefits, including:

• Data Control: It offers data sovereignty for AI requirements by keeping the documents inside your own environment or private servers.
• Audit Trail: The system creates logs of people who asked for a particular document or accessed information.
• Costs Less: Public server AI tools often charge you for use, so the bill increases with demand. Providers can help you choose the perfect plan for your specific usage and replace the models as per the complexity of the tasks.

How Does a Private GPT Work?

Here’s a simple explanation of how Private GPT works:

1. 1User→
2. 2Chat screen→
3. 3Model→
4. 4Your document or typed information→
5. 5Processed on your own server or cloud account→
6. 6Answer (in your environment)

1. 1

   Adds Documents

   Users upload documents such as PDFs or Word documents.

2. 2

   Prepares Documents

   The system splits the documents into small packages, which are converted into embeddings.

3. 3

   Stores Information

   Embeddings are stored in a vector database to find them easily.

4. 4

   Sending Prompt

   When you ask something, the Private GPT searches for the most relevant information in the document.

5. 5

   Generates Answer

   The AI answers the question from the document after finding relevant information instead of using its own general knowledge.

6. 6

   Keep Data Private

   Private GPT is installed on your IT infrastructure or cloud account and keeps the document in your controlled environment.

Where Private GPT Runs?

Vanik Edge offers Private GPT, which runs on your cloud account or air-gapped in your DGX. In cloud accounts, it can be accessed by authorised users only, and documents never leave the controlled environment. Whereas running inside your own DGX allows it to process data offline, which offers high security.

Private GPT vs Public AI Tools: What’s the Major Difference

Looking for ChatGPT alternatives at the enterprise level, here are the major differences:

Who Needs Private GPT?

Any company or business who cannot send data or documents to an outside service can utilize the ability of Private GPT. Below are the sectors that essentially require it:

• Healthcare: To protect patient records and clinical notes that they need to summarize inside the building.
• Government: For working on case files and citizen details along with policy documents without sending information to public servers.
• Legal: To maintain client confidentiality while working on case files and contracts.

What Do You Need to Run AI On-Prem?

To deploy AI on-premise, you will need:

• GPU Hardware or a cloud account with a GPU
• An AI language Model for your specific tasks.
• An organized set of documents to analyze and answer.
• Real-time testing environment.

Conclusion

A private GPT is the safest solution to protect your data and keep it on your own servers. While public AI tools send the information to outside servers where data goes out of your control, the private GPT keeps the AI model and your information within your controlled environment.