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Unified architecture that shortens hardware design cycles

Inspur Develops a Big Data Platform for the General Administration of Customs of the PRC


Requirements and challenges:

  • Processing of massive data measured in the terabyte range
  • Unified management and flexible deployment of resources
  • Establishment of a stable and reliable hardware platform

System requirements

  • Improved data processing capability: Within the next five years, GACC's data processing volume will reach 4PB and 100TB for unstructured and structured data, respectively.
  • Establishment of a big data cloud platform: Implementation of flexible data retrieval, national customs integration, tariff forecasting, and fast-track customs clearance based on corporate credit.


Integrated solution built around Inspur's NF5270M4 dual-socket server: The big data cloud platform is divided into five functional zones, namely the network equipment zone, virtualization zone, core component zone, cloud service zone, and load balancing zone.? The virtualization zone leverages the storage computing power of Inspur's servers to provide application support for the platform; the load balancing zone primarily manages network product services and security; the core component zone handles the analysis of scheduling and operation management capabilities; and the cloud service zone is responsible for supporting and analyzing big data services and providing external services.


Significantly improved data processing capability: Capable of processing 8PB of unstructured data and 160TB of structured data in total.

Flexible data access and analysis: Implementation of live video surveillance and real-time data retrieval for over 1800 major customs clearance sites.

Efficient and stable cloud platform: A platform that ensures continuous and stable operations for the GACC.