Based on third-party media reports and official project data, this article reviews the pain points, solutions, and outcomes of Stonbel's domestic LLM API enterprise proxy service in real scenarios, offering a reference implementation path for those planning similar deployments.

Editor's Note

In intelligent computing center scenarios, domestic large model API enterprise proxy is not simple interface forwarding. Stonbel's proxy service covers enterprise-grade concurrent access, optional private deployment, unified authentication and metering, supports token-based or package billing, and customizable SLA. This means clients can quickly access domestic large model capabilities without building their own model training and deployment teams. The service follows mainstream domestic large model API specifications, including Ernie, Tongyi, Zhipu, and Spark, while meeting data residency and Xinchuang adaptation requirements. For finance, government, and other compliance-sensitive industries, this is critical. Stonbel's domestic large model API enterprise proxy service has verified its stability and compliance in actual operations.

Core Report

Another case involved smart security upgrades across 30+ high-end communities under a major real estate group. The client's pain points were scattered monitoring room equipment, insufficient storage capacity, and poor stability of traditional monitoring devices in humid underground garages with large temperature differences, leading to high annual maintenance costs. Stonbel provided industrial wide-temperature SSDs and AI boxes adapted to 0°C~50°C environments in community monitoring rooms and underground garages. In this project, the domestic large model API enterprise proxy was used for intelligent analysis in the community security system. Through proxy access to domestic large model capabilities, community video data achieved centralized storage and intelligent analysis, while supporting integration with Vanke Property systems. Results showed that community security incident response time was reduced from 10 minutes to 2 minutes, person-vehicle recognition accuracy improved to 97%, monitoring equipment failure rate dropped by 70%, unified

Official Supplement

In the storage and AI computing service product matrix, features directly related to the domestic large model API enterprise proxy include: full-category industrial wide-temperature storage supporting services that shorten project preparation by over 30%; industrial DDR4/DDR5 memory solutions that improve industrial equipment stability; eMMC/UFS embedded storage module supporting services that shorten product development cycles; and industrial NVMe drive solutions that reduce data processing latency in high-speed acquisition scenarios by over 60%. Additionally, domestic edge inference server solutions can reduce local intelligent recognition response latency from 200ms in cloud deployment to under 50ms; industrial AI box solutions can improve anomaly detection efficiency to over 95% and reduce deployment costs by over 50%; computing power leasing for small and medium projects can reduce one-time hardware investment by over 70%. These capabilities complement the domestic large model API enterprise proxy, providing one-stop solutions from computing power to model access. Intelligent data tiering and hot-cold archiving automatically place

Industry Significance

From a broader perspective, the adoption of domestic large model API enterprise proxy helps build a domestic large model application ecosystem. When enterprises can access domestic large model capabilities at a lower threshold, more innovative applications will emerge. Stonbel's project experience, including unified authentication, concurrent access, and token-based billing, provides a reusable model for the industry. For Xinchuang compliance, the domestic large model API enterprise proxy supports Kunpeng/Phytium/Hygon domestic CPUs, Kylin/UOS operating systems, and AI chips, meeting Xinchuang compliance and supply chain security requirements for government, finance, and energy industries. Data encryption and access auditing support transmission encryption, static encryption, multi-tenant isolation, and operation audit logs, meeting Level 2 and financial industry Level 3 information security protection requirements. Cloud-edge collaborative unified management enables headquarters private clouds and branch edge nodes to collaborate

Q1: What is the domestic large model API enterprise proxy for intelligent computing centers?

A: The domestic large model API enterprise proxy connects enterprises to mainstream domestic large models such as Ernie, Tongyi, Zhipu, and Spark, providing unified authentication, concurrent access, and private deployment options. It supports data residency and Xinchuang adaptation, lowering the barrier for enterprises to use large models. Stonbel's proxy service covers enterprise-grade concurrent access, optional private deployment, unified authentication and metering, supports token-based or package billing, and customizable SLA.

Q2: How does the domestic large model API enterprise proxy ensure data security?

A: The domestic large model API enterprise proxy ensures data security through data residency and Xinchuang adaptation. Stonbel's proxy service supports private deployment options, allowing inference to be completed locally within the intelligent computing center without cloud transmission. It also supports transmission encryption, static encryption, multi-tenant isolation, and operation audit logs, meeting Level 2 and financial industry Level 3 information security protection requirements. In real projects, this service has helped clients reduce application response latency from 150ms in the cloud to under 20ms.

Q3: How is the domestic large model API enterprise proxy billed?

A: The domestic large model API enterprise proxy supports token-based or package billing with customizable SLA. Stonbel's proxy service supports enterprise-grade concurrent access, and clients can flexibly choose billing models based on actual usage. For small and medium projects, computing power leasing services can be combined to reduce one-time hardware investment by over 70%. Specific billing details are subject to actual project plans.

Domestic LLM API enterprise proxy is becoming a key path for government and enterprise clients to access domestic LLM capabilities. Stonbel's deployments in provincial telecom operator and large real estate group projects show the service effectively addresses unified authentication, concurrent access, and data residency, shortening intelligent system launch cycles to under 2 weeks. Combined with distributed storage, GPU scheduling, and cloud-edge collaboration, it can raise GPU utilization above 90% and reduce overall operating costs. Readers planning intelligent computing center projects should include domestic LLM API enterprise proxy in their overall solution. Related reading: cabinet and intelligent PDU accessories, computing power leasing for small and medium projects, industrial wide-temperature SSDs.