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SparseEngine reports over 10× throughput with KV eviction

huggingface.co by Jitai Hao et al. Editor score 9/10

SparseEngine gives sparse attention methods a shared lifecycle contract and adds cross-request cache management; it reports over 10× throughput with KV eviction and over 2× end-to-end speedup on agent benchmarks. Its serving architecture and results are directly relevant to long-context inference systems.

What: - SparseEngine is a sparse-first inference engine with a shared lifecycle contract for methods using different KV representations and computations.
Method: - Chain Cache resumes KV-eviction methods from retained history, while Prefix-Cache Pruning removes KV from selected history regions and preserves logical-prefix matching.
Why it matters: - Shared serving infrastructure and cross-request state management help integrate varied sparse methods; the paper reports over 10x throughput with KV eviction.

Chain Cache uses retained history to resume KV-eviction methods. Sketched from the article's own text.

Read on huggingface.co → Code · 79 stars

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