ForkKV uses copy-on-write disaggregated KV cache with DualRadixTree and ResidualAttention kernels to deliver up to 3x throughput over prior multi-LoRA serving systems with negligible quality loss.
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TokenDance scales multi-agent LLM serving to 2.7x more concurrent agents by collective KV cache reuse and block-sparse diff encoding that achieves 11-17x compression.
DualScale reduces energy by up to 39% in prefill and 48% in decode for disaggregated LLM serving while meeting TTFT and TPOT SLOs on a 16x H100 cluster.
citing papers explorer
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ForkKV: Scaling Multi-LoRA Agent Serving via Copy-on-Write Disaggregated KV Cache
ForkKV uses copy-on-write disaggregated KV cache with DualRadixTree and ResidualAttention kernels to deliver up to 3x throughput over prior multi-LoRA serving systems with negligible quality loss.
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TokenDance: Scaling Multi-Agent LLM Serving via Collective KV Cache Sharing
TokenDance scales multi-agent LLM serving to 2.7x more concurrent agents by collective KV cache reuse and block-sparse diff encoding that achieves 11-17x compression.
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DualScale: Energy-Efficient Disaggregated LLM Serving via Phase-Aware Placement and DVFS
DualScale reduces energy by up to 39% in prefill and 48% in decode for disaggregated LLM serving while meeting TTFT and TPOT SLOs on a 16x H100 cluster.