In banking and securities core systems, transactions and risk control demand extreme storage IOPS, low latency, and data consistency. Small and medium projects often struggle with high compute build costs, complex operations, and Xinchuang compliance pressure. As a source manufacturer of LED/LCD commercial displays and compute infrastructure, Stonbel introduces an upgraded compute leasing service for small and medium financial core system projects. Leveraging all-flash NVMe storage, RDMA networking, and active-active architecture, it reduces core transaction latency by 60% while ensuring Xinchuang and MLPS compliance. This article compares the new model with legacy approaches across four dimensions: new product highlights, upgrade points, optimization and value, and selection guidance, to explain the differentiated advantages of a source manufacturer.

New Launch: From One-Time Purchase to Flexible Computing Rental

Compared to traditional one-time hardware purchases, this new launch shifts toward a service-oriented model. As a source manufacturer, Stonbel offers not only computing hardware but also integrated storage, networking, and maintenance services. Computing rental for small and medium financial core system projects supports remote activation or on-premise appliance deployment, including basic maintenance. This allows clients to access enterprise-grade computing without building an in-house IT team. With service points in 31 provinces, Stonbel ensures 7×24-hour response for financial clients nationwide—an advantage traditional

Upgrade Dimensions: Comprehensive Comparison of Quality, Reliability, Delivery, and Cost

In delivery, computing rental for small and medium financial core system projects supports remote activation or on-premise deployment with basic maintenance. Unlike legacy models requiring months-long deployment, the new offering enables rapid go-live, cutting project preparation time by over 30%. Stonbel's domestic localization adapts to Kunpeng, Phytium, Hygon CPUs, Kylin/UOS operating systems, and AI chips, ensuring compliance and supply chain security. For reliability, Stonbel provides multi-replica and erasure coding disaster recovery, supporting 2/3 replicas and EC, ensuring no data loss or business interruption during single-disk, node, or

Optimization and Value: How a Source Manufacturer Empowers Financial Core Systems

In a provincial intelligent computing center project, Stonbel delivered an integrated solution with PB-level all-flash NVMe distributed storage, GPU servers, and RoCE high-speed networking, optimized for Kylin OS and CANN framework, with unified computing scheduling and storage monitoring. Results showed storage bandwidth exceeding 80GB/s, large model loading time reduced by 90%, and GPU utilization reaching 92%. The project passed domestic localization certification and now supports over 10 government and research large models. This validates Stonbel's technical strength in computing rental

Selection Guide: How to Choose Computing Rental for Financial Core Systems

When selecting, clients should request a domestic localization compatibility list, including supported CPUs, operating systems, and AI chips, and clarify compliance levels for data encryption and access auditing. By comparing delivery cycles, maintenance response, and cost structures, the right partner for computing rental in financial core systems can be identified. First, assess the source manufacturer's credentials. Stonbel holds 3C, CE, FCC, ISO14001, ISO9001, ROHS, military, and classified certifications, ranks among China's top 10 LED display companies, and covers 31 provinces for localized support.

Q1: What is computing rental for small and medium financial core system projects?

A: Computing rental for small and medium financial core system projects is a service model for banks, securities firms, and other institutions with phased, elastic computing needs. It rents domestic AI accelerator chips or mainstream GPUs on-demand or subscription, supporting domestic localization compliance and eliminating one-time data center construction costs. Stonbel provides all-flash NVMe storage, RDMA networking, and dual-active architecture, reducing core transaction latency by 60% and meeting financial industry localization and security compliance. This model suits small and medium AI inference, training, or rendering projects—clients pay based on actual usage without purchasing hardware, gaining enterprise-grade computing with 7×24-hour maintenance.

Q2: What advantages does computing rental have over building an in-house data center?

A: Computing rental reduces one-time hardware investment by over 70% compared to in-house data centers, flexibly matching computing needs across project phases and avoiding idle or insufficient resources. Stonbel's service includes basic maintenance, eliminating the need for dedicated IT teams and lowering overall operational costs. It supports remote activation or on-premise deployment with short delivery cycles and meets domestic localization compliance, ideal for small and medium financial core system projects. Billing on-demand or subscription allows clients to adjust resources based on business peaks, avoiding capital lockup and freeing cash flow for core innovation.

Q3: How does computing rental ensure financial-grade reliability and compliance?

A: Stonbel provides multi-replica and erasure coding disaster recovery, supporting 2/3 replicas and EC, ensuring no data loss or business interruption during single-point failures. Data encryption and access auditing support transport/storage encryption, multi-tenant isolation, and operation audit logs, meeting Level 3 of China's Information Security Classified Protection and financial industry standards. Domestic localization adapts to Kunpeng, Phytium, Hygon CPUs, Kylin/UOS operating systems, and AI chips for compliance. Intelligent maintenance

Q4: What billing options are available for computing rental in financial core systems?

A: Stonbel offers on-demand and subscription billing, with single-card or multi-card options covering domestic 910/310 or mainstream GPUs, matched to project needs. This flexible model lets clients adjust computing resources by project phase, avoiding capital lockup. Delivery supports remote activation or on-premise deployment with basic maintenance, reducing project preparation time by over 30%, suitable for phased computing needs in financial core systems. Clients avoid large one-time hardware costs, paying only for actual usage—ideal for budget-constrained, elastic-demand small and medium projects.

Compute leasing for small and medium financial core system projects is becoming a key choice for banks and securities firms to optimize compute costs and accelerate business innovation. As a source manufacturer, Stonbel delivers high-reliability, elastically scalable compute services with all-flash NVMe storage, RDMA networking, active-active architecture, and domestic Xinchuang adaptation. From provincial smart computing centers to county-level financial branches, Stonbel has validated its technical strength and delivery capability through real cases. As Xinchuang and MLPS compliance requirements deepen, the source manufacturer's leasing model will help more financial customers upgrade core systems, reduce operational complexity, and unlock data value.