DeepSeek Deployment Guidebook

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Enterprises seeking secure, high-performance AI solutions can now take advantage of the enhanced on-premises deployment capabilities of DeepSeek Enterprise Edition. Designed for scalability and compliance, this solution seamlessly integrates with the DeepSeek R1 NVIDIA Enterprise Platform, helping enterprises take advantage of cutting-edge AI technologies while maintaining full control over their data.

In this guide, we'll walk you through the key benefits, hardware requirements, and step-by-step deployment process to help you get started quickly.

GPTBots further enhances this deployment through optimized workflow and knowledge management capabilities, helping enterprises accelerate the deployment of DeepSeek models while reducing hardware and maintenance costs. This makes the application of AI more convenient and cost-effective, especially for small and medium-sized enterprises.

Part 1: Definition and Features of DeepSeek

DeepSeek is an advanced AI model ecosystem designed for enterprise-level AI applications, focusing on large-scale natural language processing (NLP), AI reasoning, and local AI deployment. It provides cloud-based and local AI solutions, enabling enterprises to deploy, customize, and control AI models in their own infrastructure.


DeepSeek Enterprise AI Model Ecosystem

Key features of DeepSeek:

  • Enterprise-Grade AI – DeepSeek is optimized for commercial applications and provides enterprise-grade performance, security, and scalability.
  • DeepSeek Local Deployment – ​​Unlike cloud-based AI models, DeepSeek can be deployed entirely on local infrastructure, ensuring data is fully autonomous and in compliance with compliance requirements.
  • DeepSeek R1 NVIDIA Enterprise Platform – Designed to leverage NVIDIA GPUs, enabling enterprises to run AI models with high performance and low computational cost.
  • DeepSeek Enterprise Privacy Policy – ​​Ensure AI deployments comply with global data protection regulations such as GDPR, China’s Cybersecurity Law, and corporate governance standards.
  • Multilingual and Chinese Natural Language Processing (NLP) Optimization – DeepSeek is optimized specifically for Chinese language tasks, including semantic understanding, legal and financial document processing, and customer service applications.
  • Scalable AI Deployment – ​​DeepSeek supports both lightweight AI inference for cost-effective use and high-performance AI computing for complex enterprise AI applications.

Why do companies choose DeepSeek?

  • Full control over AI models – Enterprises can train, fine-tune, and customize DeepSeek models to their unique needs.
  • Efficient AI Processing – Reduce hardware and energy costs while maintaining high-performance AI capabilities.
  • Security and Compliance – A built-in data protection framework ensures that enterprise AI deployments comply with industry regulations.
  • Industry-Specific Adaptations – Optimized for financial, healthcare, government, and customer service applications.

Part 2: Quickly deploy the local version of DeepSeek in 5 minutes

DeepSeek is widely used in its web and app versions, but frequent "Service Busy" prompts can be frustrating. This guide will show you how to deploy DeepSeek on your local computer in the simplest way, ensuring a free, fast, stable, and private experience limited to local deployment. The entire setup process takes about 5 minutes!

Step 1: Check system compatibility

Before installing, determine the maximum model size your computer can support. To select the appropriate model version, check your system specifications:

  • Shortcut: Press Win + I to open system settings.
  • Task Manager: Press Ctrl + Shift + Esc, then go to the Performance Monitoring tab to check CPU, GPU, and RAM.

DeepSeek model hardware requirements Local deployment

Additional Notes

  • Mac users: CPU/MPS acceleration only, which is slower than NVIDIA CUDA.
  • Windows users: Use WSL 2 and Ubuntu for better compatibility with AI frameworks.
  • Linux users: The 67B model is the best choice for those who want a high-end enterprise GPU.

Step 2: Install Ollama

Running the DeepSeek model requires Ollama to be installed.

1. Download and install Ollama

  • Visit https://ollama.com/ .
  • Download the installer and follow the on-screen instructions to install it in one click (recommended to install it in the C drive).

2. Verify the installation

  • Open Command Prompt (Win + R, type cmd, and press Enter).
  • Run the following command: 
    ollama -v
  • If a version number appears, the installation was successful.

Step 3: Install the DeepSeek-R1 model

Now, install the appropriate DeepSeek model based on your system capabilities.

1. Choose the right model

For example, if your system specifications are low, please start with the smallest 1.5B model. Small and medium-sized enterprises are recommended to choose the 1.5B model, and large enterprises can choose the 67B model to meet complex needs.

2. Run DeepSeek-R1

Open a command prompt and enter:

ollama run deepseek-r1:1.5b


DeepSeek-R1 model running interface

This will download and run the model locally.

Step 4: Install a graphical user interface (GUI) to improve usability (optional)

If you find the command line interface inconvenient, you can install a graphical user interface (GUI) like Chatbox .

  • Visit: https://chatboxai.app/
  • Click Download and follow the installation steps.
  • After the installation is complete, open the Chatbox interface.
  • Select your preferred model provider and model , and start chatting smoothly. Chatbox supports multi-language chat and has a user-friendly interface suitable for non-technical users.

DeepSeek-R1 Model Chatbox

Once the installation is complete, you can now easily run a private, fast, and efficient version of DeepSeek on your local machine.

My computer is an only old MacBook Pro, and it really works for me. You can try it.

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