PagedAttention
PagedAttention is a KV-cache memory management algorithm for serving large language models that applies the virtual-memory paging technique used by operating systems to the GPU, eliminating memory…
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PagedAttention is a KV-cache memory management algorithm for serving large language models that applies the virtual-memory paging technique used by operating systems to the GPU, eliminating memory…
RadixAttention is a KV cache management technique introduced in SGLang that uses a radix tree data structure to automatically share and reuse cached key-value tensors across inference requests.