# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2025, vllm-kunlun team
# This file is distributed under the same license as the vllm-kunlun
# package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2025.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version:  vllm-kunlun\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-11-10 16:59+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language: zh_CN\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.17.0\n"

#: ../../source/developer_guide/performance/performance_benchmark.md:1
msgid "Performance Benchmark"
msgstr "性能基准"

#~ msgid ""
#~ "This document details the benchmark "
#~ "methodology for vllm-kunlun, aimed at"
#~ " evaluating the performance under a "
#~ "variety of workloads. To maintain "
#~ "alignment with vLLM, we use the "
#~ "[benchmark](https://github.com/vllm-"
#~ "project/vllm/tree/main/benchmarks) script provided "
#~ "by the vllm project."
#~ msgstr ""
#~ "本文档详细说明了 vllm-kunlun 的基准测试方法，旨在评估其在多种工作负载下的性能。为了与"
#~ " vLLM 保持一致，我们使用 vllm 项目提供的 "
#~ "[benchmark](https://github.com/vllm-"
#~ "project/vllm/tree/main/benchmarks) 脚本。"

#~ msgid ""
#~ "**Benchmark Coverage**: We measure offline "
#~ "e2e latency and throughput, and "
#~ "fixed-QPS online serving benchmarks, for"
#~ " more details see [vllm-kunlun "
#~ "benchmark scripts](https://github.com/vllm-project"
#~ "/vllm-kunlun/tree/main/benchmarks)."
#~ msgstr ""
#~ "**基准测试覆盖范围**：我们测量离线端到端延迟和吞吐量，以及固定 QPS 的在线服务基准测试。更多详情请参见"
#~ " [vllm-kunlun 基准测试脚本](https://github.com/vllm-"
#~ "project/vllm-kunlun/tree/main/benchmarks)。"

#~ msgid "1. Run docker container"
#~ msgstr "1. 运行 docker 容器"

#~ msgid "2. Install dependencies"
#~ msgstr "2. 安装依赖项"

#~ msgid "3. (Optional)Prepare model weights"
#~ msgstr "3.（可选）准备模型权重"

#~ msgid ""
#~ "For faster running speed, we recommend"
#~ " downloading the model in advance："
#~ msgstr "为了更快的运行速度，建议提前下载模型："

#~ msgid ""
#~ "You can also replace all model "
#~ "paths in the [json](https://github.com/vllm-"
#~ "project/vllm-kunlun/tree/main/benchmarks/tests) files "
#~ "with your local paths:"
#~ msgstr ""
#~ "你也可以将 [json](https://github.com/vllm-project/vllm-"
#~ "kunlun/tree/main/benchmarks/tests) 文件中的所有模型路径替换为你的本地路径："

#~ msgid "4. Run benchmark script"
#~ msgstr "4. 运行基准测试脚本"

#~ msgid "Run benchmark script:"
#~ msgstr "运行基准测试脚本："

#~ msgid "After about 10 mins, the output is as shown below:"
#~ msgstr "大约 10 分钟后，输出如下所示："

#~ msgid ""
#~ "The result json files are generated "
#~ "into the path `benchmark/results` These "
#~ "files contain detailed benchmarking results"
#~ " for further analysis."
#~ msgstr "结果 json 文件会生成到路径 `benchmark/results`。这些文件包含了用于进一步分析的详细基准测试结果。"

