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.
SparDA (Sparse Decoupled Attention) is an add-on architecture for long-context large language model inference proposed by researchers at NVIDIA in a paper posted to arXiv on 3 June 2026.
YaRN (Yet another RoPE extensioN) is a compute-efficient method for extending the context window of large language models that use Rotary Position Embeddings (RoPE).