Beijing University of Posts and Telecommunications’ space compute cloud completed hundreds of calls for more than 100 users and achieved large-model inference efficiency of 10 tokens per joule using domestic hardware and software.

Beijing University of Posts and Telecommunications (北京邮电大学) said the space compute cloud it leads had entered regular operation, providing in-orbit computing services externally. It was described as the first space compute cloud to offer external in-orbit experimental services.

Since entering service, the platform has completed hundreds of space-compute calls and served more than 100 users. It has supported in-orbit experiments involving big-data processing, sixth-generation communications, distributed storage and mixed-criticality task deployment.

Using a domestic-native hardware and software ecosystem, the cloud achieved large-model inference energy efficiency of 10 tokens per joule. This measures generated or processed model tokens relative to energy consumption and is not a GPU throughput figure in floating-point operations per second.

The service reported space-compute coverage exceeding 10%. It also said it had established continuing service capabilities for real-time data processing, low-latency intelligent decision-making and iterative development of satellite-network capabilities, although the source did not define the denominator used for the coverage figure.