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# Copyright (C) 2023, Xorbits Inc.
# This file is distributed under the same license as the Xinference package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2025.
#
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#: ../../source/user_guide/distributed_inference.rst:5
msgid "Distributed Inference"
msgstr "분산 추론"

#: ../../source/user_guide/distributed_inference.rst:6
msgid ""
"Some language models including **DeepSeek V3**, **DeepSeek R1**, etc are too"
" large to fit into GPus on a single machine, Xinference supported running "
"these models across multiple machines."
msgstr ""
"일부 언어 모델, **DeepSeek V3**, **DeepSeek R1** 등을 포함하여, 크기가 너무 커서 단일 머신의 GPU에 "
"적합하지 않습니다. Xinference는 여러 머신에서 이러한 모델을 실행하는 것을 지원합니다."

#: ../../source/user_guide/distributed_inference.rst:13
msgid "Supported Engines"
msgstr "지원되는 엔진"

#: ../../source/user_guide/distributed_inference.rst:14
msgid "Now, Xinference supported below engines to run models across workers."
msgstr "지금, Xinference는 여러 워커에서 모델을 실행할 수 있는 다음과 같은 엔진을 지원합니다."

#: ../../source/user_guide/distributed_inference.rst:16
msgid ":ref:`SGLang <sglang_backend>` (supported in v1.3.0)"
msgstr ":ref:`SGLang <sglang_backend>` (v1.3.0에서 지원)"

#: ../../source/user_guide/distributed_inference.rst:17
msgid ":ref:`vLLM <vllm_backend>` (supported in v1.4.1)"
msgstr ":ref:`vLLM <vllm_backend>` (v1.4.1에서 지원)"

#: ../../source/user_guide/distributed_inference.rst:18
msgid ""
":ref:`MLX <mlx_backend>` (supported in v1.7.1), MLX distributed currently "
"does not support all models. The following model types are supported at this"
" time. If you have additional requirements, feel free to submit a GitHub "
"issue at `https://github.com/xorbitsai/inference/issues "
"<https://github.com/xorbitsai/inference/issues>`_ to request support."
msgstr ""
":ref:`MLX <mlx_backend>` (v1.7.1부터 지원)은 현재 분산 모드에서 모든 모델을 지원하지 않습니다. 현재 다음과 "
"같은 모델 유형을 지원합니다. 다른 필요 사항이 있으시면 "
"`https://github.com/xorbitsai/inference/issues "
"<https://github.com/xorbitsai/inference/issues>`_ 에 GitHub issue를 제출하여 지원을 "
"요청해 주시기 바랍니다."

#: ../../source/user_guide/distributed_inference.rst:22
msgid "DeepSeek v3 and R1"
msgstr "DeepSeek v3와 R1"

#: ../../source/user_guide/distributed_inference.rst:23
msgid "Qwen2.5-instruct and the models have the same model architectures."
msgstr "Qwen2.5-instruct 및 동일한 모델 아키텍처를 가진 다른 모델들."

#: ../../source/user_guide/distributed_inference.rst:24
msgid "Qwen3 and the models have the same model architectures."
msgstr "Qwen3 및 동일한 모델 아키텍처를 가진 다른 모델들."

#: ../../source/user_guide/distributed_inference.rst:25
msgid "Qwen3-moe and the models have the same model architectures."
msgstr "Qwen3-moe 및 동일한 모델 아키텍처를 가진 다른 모델들."

#: ../../source/user_guide/distributed_inference.rst:30
msgid "Usage"
msgstr "사용"

#: ../../source/user_guide/distributed_inference.rst:31
msgid ""
"First you need at least 2 workers to support distributed inference. Refer to"
" :ref:`running Xinference in cluster <distributed_getting_started>` to "
"create a Xinference cluster including supervisor and workers."
msgstr ""
"먼저, 분산 추론을 지원하려면 최소 2개의 작업 노드가 필요합니다. :ref:`클러스터에서 Xinference 실행하기 "
"<distributed_getting_started>`를 참조하여 supervisor 노드와 worker 노드로 구성된 "
"Xinference 클러스터를 생성하십시오."

#: ../../source/user_guide/distributed_inference.rst:35
msgid ""
"vLLM (v0.11.0+) note: Starting from vLLM v0.11.0, distributed deployment "
"with vLLM requires Xinference >= v1.17.1. In addition to setting "
"``--n-worker`` as before, you must also set ``tensor_parallel_size`` (set it"
" to the **GPU count**) and ``pipeline_parallel_size=1`` when launching the "
"model."
msgstr ""
"vLLM(v0.11.0+) 주의사항: vLLM v0.11.0 버전부터, vLLM을 사용한 분산 배포에는 Xinference >= "
"v1.17.1 버전이 필요합니다. 기존의 ``--n-worker`` 매개변수 설정 외에도, 모델을 시작할 때 반드시 "
"``tensor_parallel_size`` (이를 **GPU 개수**로 설정) 및 ``pipeline_parallel_size=1`` "
"매개변수를 함께 설정해야 합니다."

#: ../../source/user_guide/distributed_inference.rst:40
msgid ""
"Then if are using web UI, choose expected machines for ``worker count`` in "
"the optional configurations, if you are using command line, add ``--n-worker"
" <machine number>`` when launching a model. The model will be launched "
"across multiple workers accordingly."
msgstr ""
"그런 다음, Web UI를 사용하는 경우 선택적 구성에서 원하는 머신 수를 ``worker count``로 선택하세요. 명령줄을 사용하는"
" 경우 모델을 시작할 때 ``--n-worker <머신 수>``를 추가하세요. 모델은 그에 따라 여러 작업 노드에서 시작됩니다."

#: ../../source/user_guide/distributed_inference.rst:48
msgid ""
"``GPU count`` on web UI, or ``--n-gpu`` for command line now mean GPUs count"
" per worker if you are using distributed inference."
msgstr ""
"분산 추론을 사용할 때, Web UI의 ``GPU count`` 또는 명령줄의 ``--n-gpu``는 이제 각 작업 노드의 GPU 수를 "
"나타냅니다."
