SenseTime Details Heterogeneous Inference Infrastructure and Reports Throughput Gains

SenseTime outlined how it uses prefill-decode separation and heterogeneous scheduling for AI inference, with infrastructure CTO Xuan Shanming reporting fivefold overall token throughput in a specific test configuration using the same number of flagship GPUs as the baseline. SenseTime said its infrastructure serves an average of 6 trillion tokens daily; the fivefold gain applies to the reported test configuration. In remarks republished by QbitAI, Xuan also described failure recovery through resource reassignment and discussed exploration of cross-region prefill-decode separation and attention-FFN separation.

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