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Throughput-Oriented LLM Inference via KV-Activation Hybrid Caching with a Single GPU
Large language models (LLMs) with growing model sizes use many GPUs to meet memory capacity requirements, incurring substantial costs for token generation. To provide cost-effective LLM inference with relaxed latency constraints, recent studies proposed to expand GPU memory by leveraging the host me
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