SplitZip: Ultra Fast Lossless KV Compression for Disaggregated LLM Serving
Contemporary systems serving large language models (LLMs) have adopted prefill-decode disaggregation to load-balance between the compute-bound prefill phase and the memory-bound decode phase. Under this design, prefill workers generate a KV cache that must be transferred to decode workers before generation can begin. With these workers residing on different physical systems, this transfer becomes a significant bottleneck to serving LLMs at scale, especially for long-input and agentic workloads. Existing lossless codecs are unsuitable here as they primarily target offline weight compression, run on CPUs, or use variable-length coding whose compression cannot keep up with KV production duri...
| Authors | Yipin Guo, Siddharth Joshi |
|---|---|
| Primary category | cs.DC |
| Published | 3 May 2026 |
| Last updated at source | 23 June 2026 |
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