LLM Inference Architecture: PagedAttention, KV-Cache & Speculative Decoding
Guideai••6 min•arxiv.org
An exhaustive systems engineering blueprint dissecting production Large Language Model serving: Roofline compute-versus-bandwidth bounds, exact KV-Cache memory calculus, Grouped-Query Attention (GQA) compression, PagedAttention virtual memory block tables in vLLM, IO-aware FlashAttention SRAM tiling, Continuous Batching, and Speculative Decoding mathematics.
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