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3 days agoUnlocking LLM superpowers: How PagedAttention helps the memory maze
KV blocks are like pages. Instead of contiguous memory, PagedAttention divides the KV cache of each sequence into small, fixed-size KV blocks. Each block holds the keys and values for a set number of tokens. Tokens are like bytes. Individual tokens within the KV cache are like the bytes within a page. Requests are like processes. Each LLM request is managed like a process, with its "logical" KV blocks mapped to "physical" KV blocks in GPU memory.
Artificial intelligence
