Inside Kimi's Trillion-Parameter MoE and Co-located RL Infrastructure
stochasticchasm · x · 2026-07-28
A deep dive into Kimi's trillion-parameter model reveals a sparser MoE architecture (16/896 activated parameters), likely bottlenecked by VRAM. It also highlights their rare, co-located reinforcement learning (RL) system at this massive scale and highly engineered sandbox infrastructure.
Related event: Kimi K3 Architecture: 3T Parameters and Ultra-Sparse MoE(2 posts)→
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