Leveraging its high-performance intelligent computing resources, Sinnet has successfully integrated DeepSeek’s local private deployment, enabling users to enjoy more secure and faster customized services. In addition, the company has launched the beta version of an intelligent chatbot service powered by the DeepSeek R1 model.

Sinnet’s local private deployment addresses key challenges such as sensitive information retrieval (RAG) and server congestion when users engage with advanced DeepSeek V3/R1 models. This solution enhances model download and call rates, significantly accelerating AI application development. Sinnet has completed the localization setup for all DeepSeek-R1 models and made the basic model available for customers to experience. Clients can now quickly pull the DeepSeek-R1 model image through their enterprise intranet and begin utilizing its powerful features immediately.

Independent Environment Operation to Avoid Public Network Resource Limitations

1. Private Deployment
The DeepSeek model operates on local servers within an independent environment, eliminating the limitations of public API resources. This ensures that users are no longer affected by server load fluctuations, offering more stable and predictable performance.

2. Data Security and Privacy
Sinnet’s local deployment solution provides enhanced protection for user data security and privacy. It reduces the risk of data leakage and better meets enterprise requirements for secure data handling.

Multi-Size Model Images: Tailored Solutions for Enterprises

1. Flexible Model Selection
Sinnet offers DeepSeek-R1 model images in a range of sizes, from small to large versions. Enterprises can select the most suitable model based on their business needs and available hardware, maximizing resource utilization and optimizing performance.

2. Enterprise-Level Application Optimization
For enterprise applications, Sinnet’s local private deployment solution offers additional optimization support. This ensures that businesses can efficiently apply the DeepSeek-R1 model to real-world scenarios, improving productivity and enhancing competitiveness.

High-Performance Support to Meet Enterprise Needs

1. Efficient and Stable Model Reasoning
Using the model for reasoning in a local network environment results in near-zero latency responses. Shortening the data transmission distance minimizes the impact of network delays, ensuring that the model operates efficiently. The local server can be customized to the model’s requirements, further enhancing performance in diverse applications.

2. Exclusive Hardware Resources
Sinnet’s solution guarantees exclusive access to local hardware resources, ensuring stable support for computing, storage, and network needs throughout operation. This ensures reliable performance for the model at all times.

Looking Ahead

Sinnet will continue to strengthen its comprehensive intelligent computing services, collaborating with industry partners to deepen its ties with domestic computing companies. By providing a full-stack computing service suite, Sinnet is committed to supporting the growth of large-model enterprise training and inference acceleration, contributing to the innovation and transformation of the artificial intelligence industry.