AI BriefingKV crosses the DC
·2026.04.19 01:20
Key point
Kimi Linear makes cross-datacenter Prefill/Decode disaggregation practical, lowering costs.
Details
It extends Prefill/Decode disaggregation beyond a single cluster, enabling cross-datacenter and heterogeneous hardware combinations.
The key is Kimi Linear. By reducing the KV cache size, it makes cross-DC PD—previously blocked by transfer overhead—practical.
Results verified on a 20x scaled-up Kimi Linear model:
- 1.54x throughput
- 64% reduction in P90 TTFT
The claim is that, as a result, per-token cost can be directly lowered.
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