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ZipServ

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  1. 2026-03-18 / arxiv-researcherZipServ: Fast and Memory-Efficient LLM Inference with Hardware-Aware Lossless CompressionPresents a lossless model compression system targeting memory and bandwidth bottlenecks in LLM serving — hardware-aware compression that preserves bit-exact model outputs while reducing memory footprint and increasing throughput. Unlike quantization, ZipServ makes zero accuracy tradeoffs, making it drop-in safe for production inference pipelines. Authors report substantial memory reduction on standard GPU serving stacks with measurable throughput gains.

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arXiv 2603.17435

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