---
title: On-premise AI Builder | DEEP TREK for Large Image Analysis | DEEP TREK
description: "Experience efficient on-premise AI toolbox!\nDEEP TREK is the best AI tool for secure remote sensing and microscopy analysis, featuring customizable hardware and multi-user support."
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---

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DEEP TREK

## Run DEEP BLOCK in an on-premise environment

DEEP TREK is a GPU Computing System featuring DEEP BLOCK, tailored for remote sensing and microscopy image analysis tasks within secure facilities.  
This system is designed to efficiently handle large image files and artificial intelligence computations.  
We provide this hardware to our clients, enabling them to experience enhanced performance and reliability.

Step #1 - Turn on the machine

- Activate the system by pressing the button

![start](https://www.deepblock.net/hubfs/start.jpg)

Step #2 - Open DEEP BLOCK(DEEP TREK)

- Turn on the desktop and open the internet browser from the desktop screen.
- In the address bar of the internet browser, type in localhost.
- In this context, localhost is not an external server. You can run DEEP TREK in a closed environment without any external connections, and the DEEP BLOCK software is stored within the DEEP TREK system you are operating. Therefore, you do not need to worry about data being exported.

![access](https://www.deepblock.net/hubfs/access.jpg)

Step #3 - Sign In

- Click the "Start" button to prepare for using the software.

![sign in](https://www.deepblock.net/hubfs/sign%20in.png)

Step #4 - Use DEEP BLOCK

- Click on 'Console' to check your project.
- The basic usage is similar to the DEEP BLOCK online platform. For instance, the Project Store is supported according to the customer's request, and if operating a DEEP TREK server on an intranet, it also supports multi-user and project sharing features.

![console](https://www.deepblock.net/hubfs/console.jpg)

Step #5 - Hardware Specification

- Various DEEP TREK hardware components can be customized according to user requests, including storage capacity, storage speed, IO device customization, and the number of GPU devices.
- In the above video, a small aerial photograph was uploaded and annotated, but our product supports up to 40GB single image file (like micrographs).
- For example, in a DEEP TREK System equipped with a USB 4.0 Port (that can be connected to your external storage) and a high-speed storage device, the upload, inference, and training processes are all performed more quickly.

![screen](https://www.deepblock.net/hubfs/screen.jpg)

![annotation](https://www.deepblock.net/hubfs/annotation.jpg)

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