DeepSeek Business Integration

DeepSeek models have the following significant advantages: Firstly, DeepSeek excels in Chinese processing, showing deep understanding of Chinese context and expression, which is more suitable for domestic enterprise applications; Secondly, DeepSeek has superhuman ability in code generation and understanding, being able to accurately understand, generate, and debug code in various programming languages; Thirdly, DeepSeek has been trained sufficiently in professional field knowledge, especially in finance, law, medical, etc., showing excellent performance; Fourthly, DeepSeek provides models in multiple scales, from lightweight to large-scale, meeting the needs of different scenarios and hardware conditions; Finally, DeepSeek supports private deployment and API flexible invocation, which is more convenient for integration with existing enterprise systems and has good data security guarantees.

The infrastructure requirements of DeepSeek models depend on the deployment method and application scenarios. For cloud API invocation, enterprises only need stable network connections, without special hardware facilities. For private deployment, the hardware requirements vary depending on the scale and expected concurrency of the selected model. Generally, deploying DeepSeek-7B, a lightweight model, requires at least one high-performance GPU (such as NVIDIA A10 or higher), more than 16GB of GPU memory, more than 64GB of system memory, and sufficient storage space. Deploying DeepSeek-67B, a large-scale model, requires more computing resources, possibly multiple high-performance GPUs or dedicated AI accelerators. In addition, enterprises need to consider network bandwidth, power supply, cooling system, etc.

RunMan Technology places high importance on data security and privacy protection in DeepSeek applications, taking multi-level security measures: Firstly, for data-sensitive enterprises, it is recommended to use private deployment, ensuring that data does not leave the intranet; Secondly, strict data access control and permission management are implemented to ensure that only authorized personnel can access sensitive data; Thirdly, data is de-sensitized before processing to remove or replace personal identification information; Fourthly, all transmitted and stored data are encrypted to prevent unauthorized access; Fifthly, a comprehensive log auditing mechanism is established to record all system operations and data access behaviors; Sixthly, a data security emergency response plan is formulated to promptly respond to possible security incidents; Finally, regular security assessments and penetration testing are conducted to identify and fix potential security vulnerabilities. We strictly comply with national relevant laws and regulations and industry standards, ensuring that enterprise data security and user privacy are fully protected.

The update and maintenance of DeepSeek model knowledge mainly go through the following ways: For public knowledge, DeepSeek's official team updates the basic model regularly, incorporating new knowledge and capabilities, and enterprises can obtain the latest general knowledge through model version upgrades; For enterprise-specific knowledge in specific fields, it is mainly realized through the construction and updating of enterprise knowledge bases, including document indexing, structural data docking, and retrieval enhancement generation (RAG) technology; Enterprises can also use fine-tuning (Fine-tuning) methods to make the model better adapt to specific business scenarios and knowledge fields; In addition, knowledge can be continuously improved through user feedback collection and annotation. RunMan Technology provides comprehensive knowledge management solutions to help enterprises establish knowledge update processes and mechanisms, ensuring that DeepSeek applications always have the latest and most accurate knowledge. We also provide regular model evaluation and optimization services to ensure continuous improvement of system performance and effect.

DeepSeek applications usually integrate with existing enterprise systems through the following methods: Standard API interface integration, through REST API or GraphQL interfaces, to seamlessly integrate with various enterprise systems; Middleware development, building dedicated integration middleware layers to handle data conversion, business logic, and security control; Database connection, directly connecting to the enterprise database system to read and write data; Message queue integration, through Kafka, RabbitMQ, etc., to realize asynchronous communication between systems; Web service integration, through WebSocket or Server-Sent Events technology to achieve real-time interaction; Single sign-on integration, with enterprise identity authentication system docking, to achieve unified user authentication and authorization; Plugin and extension development, for DeepSeek function plugins for existing enterprise software systems.