SenseTime's Da-Wang-Zhi-Shi has developed advanced AI infrastructure to handle the exponential growth in token demand driven by multi-agent systems. The company is focusing on optimizing token production efficiency through innovative architectural approaches like PD (Prefill/Decode) separation and AF (Attention/FFN) separation. These techniques aim to improve cost-effectiveness and stability in large-scale, heterogeneous computing clusters, enabling SenseTime to manage daily token services of up to 6 trillion tokens and projecting a 25-fold increase by the end of 2026. AI
IMPACT Optimizes AI infrastructure for efficiency and cost, enabling higher quality token production for advanced AI applications.
RANK_REASON Company announcement detailing new AI infrastructure architecture and performance metrics. [lever_c_demoted from significant: ic=1 ai=1.0]
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