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Serving LLMs requires substantial memory due to the storage requirements of Key-Value (KV) embeddings in the KV cache, which grows with sequence length.
Similarity estimation techniques from rounding algorithms
Moses S Charikar · 2002
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Concentration inequalities
Stéphane Boucheron, Gábor Lugosi, and Olivier Bousquet · 2003
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An elementary proof of a theorem of johnson and lindenstrauss
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Jianqiu Ji, Jianmin Li, Shuicheng Yan, Bo Zhang, and Qi Tian · 2012
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Orthogonal random features
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KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
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