KV-Cache and PagedAttention: How vLLM Gets 4x More Throughput From the Same GPU
LLM serving runs out of GPU memory long before it runs out of compute. PagedAttention borrows a 1970s operating-system idea — virtual memory paging — to kill the KV-cache fragmentation that wastes up to 80% of your VRAM, and continuous batching keeps the cores busy.
kv-cachepaged-attentionvllm
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