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The KV Cache Is the New Memory Wall

Singh, Tejinder
arXiv (All) · Papers
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and-cluster-computingc-4distributedmachine-learningparallelperformance
Autoregressive LLM inference at long context is bounded by memory bandwidth, not arithmetic throughput, and the binding resource shifts from model weights to the Key-Value (KV) cache as sequence length grows. For Llama-3-70B in BF16, the 140 GB weight footprint exceeds the 80 GB HBM of a single acce
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