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Cartridges and STILL simplify KV-cache benchmarking

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Cartridges and STILL simplify KV-cache benchmarking
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// 45d agoOPENSOURCE RELEASE

Cartridges and STILL simplify KV-cache benchmarking

A public, single-GPU code release reproduces two recent long-context inference ideas: Cartridges for corpus-specific compressed KV caches and STILL for reusable neural KV-cache compaction. The repos emphasize runnable benchmarks, readable implementations, and direct comparisons against full-context inference, truncation, and Cartridges.

// ANALYSIS

Strong open-source systems contribution: it turns KV-cache compression into something you can benchmark on one GPU, with standardized data layouts, inspectable code, and aligned comparisons that make the tradeoffs much easier to study than paper-only summaries.

// TAGS
kv-cachelong-contextllm-inferencecache-compressionopen-sourcebenchmarkingsingle-gpuneural-compression

DISCOVERED

45d ago

2026-04-21

PUBLISHED

45d ago

2026-04-20

RELEVANCE

9/ 10

AUTHOR

shreyansh26