Inside Kimi K3: How a 2.8T-Parameter Model Is Designed to Be Served

Inside Kimi K3: How a 2.8T-Parameter Model Is Designed to Be Served
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From 16-of-896 sparse routing to Kimi Delta Attention, MXFP4 quantization and 64-accelerator supernodes — the real story is not scale…

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​ From 16-of-896 sparse routing to Kimi Delta Attention, MXFP4 quantization and 64-accelerator supernodes — the real story is not scale…Continue reading on Medium »   Read More AI on Medium 

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