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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 15, 13:30 UTC

[Doc] Add two links to disagg_prefill.md (#17168)

Signed-off-by: windsonsea <haifeng.yao@daocloud.io>

Michael Yao committed Apr 25, 2025 at 18:23 UTC f851b8426659d00a264eaab5ef0f69f70e592e37
1 file changed +2 -2
docs/source/features/disagg_prefill.md
+2 -2
@@ -21,11 +21,11 @@ Disaggregated prefill DOES NOT improve throughput.
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22 ## Usage example
23
24 -Please refer to `examples/online_serving/disaggregated_prefill.sh` for the example usage of disaggregated prefilling.
24 +Please refer to <gh-file:examples/online_serving/disaggregated_prefill.sh> for the example usage of disaggregated prefilling.
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26 ## Benchmarks
27
28 -Please refer to `benchmarks/disagg_benchmarks/` for disaggregated prefilling benchmarks.
28 +Please refer to <gh-file:benchmarks/disagg_benchmarks> for disaggregated prefilling benchmarks.
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30 ## Development
31