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Squeezing the Cache, Preserving the Truth: Monotonic Equipotential Allocation with Geodesia-KV

Geodesia-KV is a training-free, hardware-ready KV cache compression framework that employs monotonic block-wise precision allocation and query-sparse reading to significantly outperform existing methods in perplexity and bandwidth efficiency, enabling 1M-token context generation on consumer-grade 16 GiB GPUs.

Original authors: Vincenzo Dentamaro, Pancrazio Auteri, Giuseppe Pirlo

Published 2026-08-26
📖 1 min read☕ Coffee break read

Original authors: Vincenzo Dentamaro, Pancrazio Auteri, Giuseppe Pirlo

Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

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