# SOME DESCRIPTIVE TITLE.
# 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 "Inferencia distribuida"

#: ../../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 ""
"Algunos modelos de lenguaje, incluyendo **DeepSeek V3**, **DeepSeek R1**, "
"entre otros, son demasiado grandes para adaptarse a una GPU en una sola "
"máquina. Xinference admite la ejecución de estos modelos en múltiples "
"máquinas."

#: ../../source/user_guide/distributed_inference.rst:13
msgid "Supported Engines"
msgstr "Motores compatibles"

#: ../../source/user_guide/distributed_inference.rst:14
msgid "Now, Xinference supported below engines to run models across workers."
msgstr ""
"Ahora, Xinference admite los siguientes motores para ejecutar modelos en "
"varios workers."

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

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

#: ../../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>` (soportado desde v1.7.1) actualmente no admite "
"todos los modelos en modo distribuido. Por ahora, se soportan los siguientes"
" tipos de modelos. Si tienes otras necesidades, no dudes en enviar un issue "
"en `https://github.com/xorbitsai/inference/issues "
"<https://github.com/xorbitsai/inference/issues>`_ para solicitar soporte."

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

#: ../../source/user_guide/distributed_inference.rst:23
msgid "Qwen2.5-instruct and the models have the same model architectures."
msgstr "Qwen2.5-instruct y otros modelos con la misma arquitectura."

#: ../../source/user_guide/distributed_inference.rst:24
msgid "Qwen3 and the models have the same model architectures."
msgstr "Qwen3 y otros modelos con la misma arquitectura de modelo."

#: ../../source/user_guide/distributed_inference.rst:25
msgid "Qwen3-moe and the models have the same model architectures."
msgstr "Qwen3-moe y otros modelos con la misma arquitectura de modelo."

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

#: ../../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 ""
"Primero necesita al menos 2 workers para admitir inferencia distribuida. "
"Consulte :ref:`ejecutar Xinference en clúster "
"<distributed_getting_started>` para crear un clúster de Xinference que "
"incluya supervisor y workers."

#: ../../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+) Nota: A partir de la versión v0.11.0 de vLLM, el despliegue "
"distribuido con vLLM requiere Xinference >= v1.17.1. Además del parámetro "
"existente ``--n-worker``, al iniciar el modelo también es necesario "
"configurar ``tensor_parallel_size`` (establecido en el **número de GPUs**) y"
" ``pipeline_parallel_size=1``."

#: ../../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 ""
"Luego, si usa la interfaz web, seleccione las máquinas esperadas para "
"``worker count`` en las configuraciones opcionales; si usa la línea de "
"comandos, agregue ``--n-worker <número de máquina>`` al iniciar el modelo. "
"El modelo se desplegará en varios workers según corresponda."

#: ../../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 ""
"``GPU count`` en la interfaz web, o ``--n-gpu`` en la línea de comandos, "
"ahora indican el número de GPUs por worker si está usando inferencia "
"distribuida."
