specific method · filed under inference & serving
KV-cache and sparse-attention-kernel co-design
Designs the KV-cache layout jointly with the sparse-attention kernel.
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used 1
Documented in
Evidence
1 span quoted from the sources, strongest treatment first.
Achieving this requires co-designing the KV cache layout and the sparse attention kernel.
usedinference servingin DeepSeek-V4DeepSeek
Filed alongside
Other methods under inference & serving :: KV cache management.
Chunked prefillPrefix cachingPrompt cachingSWA Bounded ReplayLanguage-model-only serving modePeriodic cache checkpointingCompressed KV cachingKDA-aware prefix-cache managementRadixCacheZero SWA caching8-bit Mamba cache quantizationAsynchronous cache offloading and restorationAutomatic cacheBlock-based KV cacheCross-layer KV-cache reuseCustomized heterogeneous KV-cache layoutDisable prefix caching for benchmarkingDynamic allocation of fixed-size state-cache poolsEncoder SWA bounded replayExact SWA KV reconstruction via full multi-layer replayFine-grained prefix hashingHierarchical KV cachingInference-side KV-cache reset on weight synchronizationKDA with prefill cache