Deepseek Private Cloud Deployment

DeepSeek Large Language Model Private Deployment Plan – Enterprise Edition

More recently, our focus has been on digital information technology, specializing in innovations in generative AI and large language models (LLMs). We are committed to driving digital and intelligent transformation for SMBs, corporate and research institutions. Our core expertise lies in training, inference, private deployment, and application development of domain-specific LLMs. By deeply integrating industry needs, we've developed a series of cutting-edge intelligent applications, such as model-driven intelligent ticket processing systems and emergency command mobilization platforms. In October 2024, we demonstrated a privatized deployment-ready large-model inference machine and software platform. These achievements have been successfully applied in emergency command systems and local governmental digital service systems, demonstrating exceptional performance.

Goals of the Deployment

The aim of deploying DeepSeek's private LLM service is to establish a secure, controllable, and efficient intelligent work platform. This platform can be implemented within an organization's internal network, ensuring data security and regulatory compliance. It is also scalable, supporting future AI capability upgrades and optimizations. Users can fully leverage DeepSeek's comprehensive features, significantly enhancing work efficiency. Additionally, the solution integrates organizational data to create a dedicated knowledge base, enabling domain-specific AI applications that offer intelligent decision support. Post-deployment, organizations will directly transition into the intelligent era of digital transformation, laying a strong foundation for future competitiveness in intelligent systems.

DeepSeek Large Language Models

• DeepSeek-R1-Distill-Qwen-32B: 32 billion parameters
• DeepSeek-R1-Distill-Llama-70B: 70 billion parameters
• DeepSeek-R1-671B: 671 billion parameters

Interaction Interface

The system interacts through natural language dialogue, supporting multilingual text understanding and generation.

Advantages of Private Deployment

Deploying locally to an organization's internal network includes both hardware (compute servers) and software (inference engines, interaction interface software). Users access services via a web interface. Key advantages include:

• Higher Privacy: Enhanced control over data and systems ensures sensitive data remains internal, reducing risks of data leakage or unauthorized access.
• Faster Response Times: Locally hosted AI reduces latency, offering a quicker response and better user experience.
• Customizability: Organizations can tailor and optimize the AI model for specific scenarios and performance needs.
• Lower Long-Term Costs: While initial setup costs may be high, local deployment reduces dependency on external cloud services, saving ongoing fees.

Core Application Features

We summarize core application features as follows:

• Intelligent Q&A: Answers diverse questions, such as those about science, history, and military topics, with dynamic follow-up capabilities.
• Rapid Decision-Making: Processes large volumes of complex data efficiently for informed commercial or operational decisions.
• Content Generation: Creates documents like reports, speeches, and emails with clear logic and rich content.
• Knowledge Base: Supports document uploads in Word, PDF, or TXT formats, building a domain-specific knowledge library.
• Programming Support: Aids in code generation, debugging, and optimization.
• Multilingual Support: Covers languages like Chinese, English, Japanese, Korean, French, and German.

Service workflow

• Needs Assessment: Model, hardware, and software selection (1–2 weeks).
• Deployment and Testing: Hardware setup and optimization (1–2 weeks, hardware procurement time excluded).
• Ongoing Maintenance: Regular updates and system health checks.

Reference Configurations

This plan ensures robust deployment while maximizing DeepSeek's full potential. Configurations adapt to specific use cases, performance requirements, and user needs.

Finally, we gave two configurations. First, the thin-configuration version.

Secondly, the thick-configuration version.

Software Services

• Deepseek R1 70B deployment
• API inferencing service integration
• API integration causal reasoning integration
• Smart document management (docx, txt, pdf)
• Support AI semantics indicing
• Support role-based access control
• Support knowledge based content generation
• Support code auto-completion

Contact us if you are interested in setting up your private LLM (hello@vdufu.com).