"Bỏ qua để đến phần nội dung chính\nHỗ trợ truy cập\nĐăng nhập\nChế độ AI\nTất cả\nVideo\nHình ảnh\nMua sắm\nVideo ngắn\nTin tức\nThêm\nCông cụ\nKết quả tìm kiếm\nLooking for results in English?\nChange to English\nTiếp tục sử dụng Tiếng Việt\nCài đặt ngôn ngữ\nThông tin tổng quan do AI tạo\nIn Prefill-Decode (PD) disaggregated serving, long-context requests place massive Key-Value (KV) cache burdens on the decode side. Managing this requires preventing Out-Of-Memory (OOM) lockups without sacrificing generation speed. \nSGLang Documentation\n +4\nHiện thêm\nWeb results\n[Bug] DeepSeek-V4-Pro，PD Disaggregation Input Length ...\n\nGitHub\nhttps://github.com › sglang › issues\n·\nDịch trang này\n6 thg 5, 2026 — I'm encountering the same issue, but I'm using a prefill-decode (PD) disaggregated deployment, so the available context is a bit longer, with ...\nBị thiếu: pressure | Phải có: pressure\nPD Disaggregation - SGLang Documentation\n\nSGLang Documentation\nhttps://docs.sglang.ai › pd_disaggrega...\n·\nDịch trang này\nWhen you need to profile prefill or decode workers in PD disaggregation mode, please refer to the Profile In PD Disaggregation Mode section in the Benchmark and ...\n[Bug] PD disaggregation + DP-attention decode: no ...\n\nGitHub\nhttps://github.com › sglang › issues\n·\nDịch trang này\n3 thg 7, 2026 — Describe the bug. On a PD-disaggregated decode node with --enable-dp-attention , one DP rank filling its KV pool freezes all ranks on that ...\nBị thiếu: memory | Phải có: memory\nPrefill-Decode Disaggregation in SGLang: Why Splitting LLM ...\n\nkuncoro.io\nhttps://kuncoro.io › blog › prefill-deco...\n·\nDịch trang này\n1 thg 2, 2026 — How SGLang's PD disaggregation separates the compute-heavy prefill phase from memory-bound decode, delivering 2-3x throughput gains for ...\nBị thiếu: pressure | Phải có: pressure\n1 Introduction\n\narXiv\nhttps://arxiv.org › html\n·\nDịch trang này\n27 thg 1, 2026 — In this paper, we propose LAPS, a prefill-length-aware LLM serving system built on the PD disaggregation paradigm to optimize heterogeneous ...\nPrefill-Decode Disaggregation - SGLang\n\nmintlify.app\nhttps://sgl-project-sglang-93.mintlify.app › ...\n·\nDịch trang này\nOverview. Prefill-Decode (PD) Disaggregation separates LLM inference into two specialized instances: Prefill instance: Handles computation-intensive prompt ...\nDeploying DeepSeek with PD Disaggregation and Large- ...\n\nLMSYS Org\nhttps://www.lmsys.org › blog › 2025-...\n·\nDịch trang này\n5 thg 5, 2025 — ✓ SGLang now supports prefill-decode (PD) disaggregation and large-scale EP, including the full functionality of DeepEP, DeepGEMM, and EPLB. ✓ ...\nServer Arguments - SGLang Documentation\n\nSGLang Documentation\nhttps://sgl-project.github.io › server_a...\n·\nDịch trang này\nThis page provides a list of server arguments used in the command line to configure the behavior and performance of the language model server during ...\n[Feature] Memory-semantic PD-disaggregation paradigm\n\nGitHub\nhttps://github.com › sglang › issues\n·\nDịch trang này\n9 thg 12, 2025 — PD disaggregation is wasting time on KVCache transfer: Under PD colocation, prefill and decode run sequentially. Limited compute efficiency ...\nBị thiếu: pressure | Phải có: pressure\nĐiều hướng trang\n\t\n1\t\n2\n\t\n3\n\t\n4\n\t\n5\n\t\n6\n\t\n7\n\t\n8\n\t\n9\n\t\n10\n\t\nTiếp\nĐường liên kết ở chân trang\nViệt Nam\nHà Nội - Dựa trên hoạt động trước đây của bạn\n - Cập nhật vị trí\nTrợ giúp\nGửi phản hồi\nQuyền riêng tư\nĐiều khoản"