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#: ../../source/getting_started/using_docker_image.rst:5
msgid "Xinference Docker Image"
msgstr "Imagen de Docker"

#: ../../source/getting_started/using_docker_image.rst:7
msgid "Xinference provides official images for use on Dockerhub."
msgstr ""
"Xinference ha subido imágenes oficiales en Dockerhub y Alibaba Cloud "
"Container Image Registry."

#: ../../source/getting_started/using_docker_image.rst:11
msgid ""
"Starting from **Xinference v2.0**, to use the CUDA version of the image, the"
" minimum CUDA version must be **CUDA 12.9**."
msgstr ""
"A partir de **Xinference v2.0**, si se desea utilizar una imagen con la "
"versión de CUDA, esta debe ser al menos **CUDA 12.9**."

#: ../../source/getting_started/using_docker_image.rst:14
msgid "Prerequisites"
msgstr "Preparación"

#: ../../source/getting_started/using_docker_image.rst:15
msgid ""
"The image can only run in an environment with GPUs and CUDA installed, "
"because Xinference in the image relies on Nvidia GPUs for acceleration."
msgstr ""
"Xinference utiliza GPU para acelerar la inferencia, esta imagen debe "
"ejecutarse en una máquina que tenga una tarjeta GPU y CUDA instalado."

#: ../../source/getting_started/using_docker_image.rst:16
msgid ""
"CUDA must be successfully installed on the host machine. This can be "
"determined by whether you can successfully execute the ``nvidia-smi`` "
"command."
msgstr ""
"Asegúrate de que CUDA esté correctamente instalado en la máquina. Puedes "
"usar ``nvidia-smi`` para verificar su correcto funcionamiento."

#: ../../source/getting_started/using_docker_image.rst:17
msgid ""
"For CUDA version >= 12.9, CUDA version in the docker image is ``12.9``, and "
"the CUDA version on the host machine should be ``12.9`` or above, and the "
"NVIDIA driver version should be ``575`` or above."
msgstr ""
"Para la versión de CUDA >= 12.9, la versión de CUDA utilizada en la imagen "
"Docker es ``12.9``. La versión de CUDA en el host debe ser ``12.9`` o "
"superior, y la versión del controlador NVIDIA debe ser ``575`` o superior."

#: ../../source/getting_started/using_docker_image.rst:18
msgid ""
"Ensure `NVIDIA Container Toolkit <https://docs.nvidia.com/datacenter/cloud-"
"native/container-toolkit/latest/install-guide.html>`_ installed."
msgstr ""
"Asegúrese de tener instalado `NVIDIA Container Toolkit "
"<https://docs.nvidia.com/datacenter/cloud-native/container-"
"toolkit/latest/install-guide.html>`_."

#: ../../source/getting_started/using_docker_image.rst:22
msgid "Docker Image"
msgstr "Imagen de Docker"

#: ../../source/getting_started/using_docker_image.rst:23
msgid ""
"The official image of Xinference is available on DockerHub in the repository"
" ``xprobe/xinference``. Available tags include:"
msgstr ""
"La imagen oficial de Xinference ha sido publicada en el repositorio "
"``xprobe/xinference`` de DockerHub. Las etiquetas actualmente disponibles "
"incluyen:"

#: ../../source/getting_started/using_docker_image.rst:26
msgid ""
"``nightly-main``: This image is built daily from the `GitHub main branch "
"<https://github.com/xorbitsai/inference>`_ and generally does not guarantee "
"stability."
msgstr ""
"``nightly-main``: Esta imagen se actualiza diariamente desde la rama main de"
" GitHub, sin garantía de estabilidad o confiabilidad."

#: ../../source/getting_started/using_docker_image.rst:27
msgid ""
"``v<release version>``: This image is built each time a Xinference release "
"version is published, and it is typically more stable."
msgstr ""
"``v<release version>``: Esta imagen se crea cada vez que Xinference publica "
"una versión, y generalmente se puede considerar estable y confiable."

#: ../../source/getting_started/using_docker_image.rst:28
msgid ""
"``latest``: This image is built with the latest Xinference release version."
msgstr ""
"``latest``: Esta imagen apuntará a la versión de lanzamiento más reciente "
"cuando se publique Xinference."

#: ../../source/getting_started/using_docker_image.rst:29
msgid "For CPU version, add ``-cpu`` suffix, e.g. ``nightly-main-cpu``."
msgstr ""
"Para la versión CPU, añada el sufijo ``-cpu``, por ejemplo ``nightly-main-"
"cpu``."

#: ../../source/getting_started/using_docker_image.rst:33
msgid "Dockerfile for custom build"
msgstr "Imagen personalizada"

#: ../../source/getting_started/using_docker_image.rst:34
msgid ""
"If you need to build the Xinference image according to your own "
"requirements, the source code for the Dockerfile is located at "
"`xinference/deploy/docker/Dockerfile "
"<https://github.com/xorbitsai/inference/tree/main/xinference/deploy/docker/Dockerfile>`_"
" for reference. Please make sure to be in the top-level directory of "
"Xinference when using this Dockerfile. For example:"
msgstr ""
"Si necesita instalar dependencias adicionales, consulte "
"`xinference/deploy/docker/Dockerfile "
"<https://github.com/xorbitsai/inference/tree/main/xinference/deploy/docker/Dockerfile>`_."
" Asegúrese de estar en el directorio raíz del proyecto Xinference al crear "
"la imagen con el Dockerfile. Por ejemplo:"

#: ../../source/getting_started/using_docker_image.rst:45
msgid "Image usage"
msgstr "Usa el espejo"

#: ../../source/getting_started/using_docker_image.rst:46
msgid ""
"You can start Xinference in the container like this, simultaneously mapping "
"port 9997 in the container to port 9998 on the host, enabling debug logging,"
" and downloading models from modelscope."
msgstr ""
"Puede iniciar Xinference en un contenedor de la siguiente manera, mientras "
"mapea el puerto 9997 al puerto 9998 del host, y especifica el nivel de "
"registro como DEBUG. También puede especificar las variables de entorno "
"necesarias."

#: ../../source/getting_started/using_docker_image.rst:54
msgid ""
"The option ``--gpus`` is essential and cannot be omitted, because as "
"mentioned earlier, the image requires the host machine to have a GPU. "
"Otherwise, errors will occur."
msgstr ""
"``--gpus`` debe especificarse, como se describió anteriormente, la imagen "
"debe ejecutarse en una máquina con GPU; de lo contrario, se producirá un "
"error."

#: ../../source/getting_started/using_docker_image.rst:55
msgid ""
"The ``-H 0.0.0.0`` parameter after the ``xinference-local`` command cannot "
"be omitted. Otherwise, the host machine may not be able to access the port "
"inside the container."
msgstr ""
"``-H 0.0.0.0`` también debe especificarse; de lo contrario, no se podrá "
"conectar al servicio Xinference desde fuera del contenedor."

#: ../../source/getting_started/using_docker_image.rst:56
msgid ""
"You can add multiple ``-e`` options to introduce multiple environment "
"variables."
msgstr ""
"Se pueden especificar múltiples opciones ``-e`` para asignar múltiples "
"variables de entorno."

#: ../../source/getting_started/using_docker_image.rst:59
msgid ""
"Certainly, if you prefer, you can also manually enter the docker container "
"and start Xinference in any desired way."
msgstr ""
"Por supuesto, también se puede ejecutar el contenedor, luego ingresar a él y"
" levantar Xinference manualmente."

#: ../../source/getting_started/using_docker_image.rst:63
msgid ""
"For multiple GPUs, make sure to set the shared memory size, for example: "
"`docker run --shm-size=128g ...`"
msgstr ""
"Para varias GPUs, asegúrate de configurar el tamaño de la memoria "
"compartida, por ejemplo: `docker run --shm-size=128g ...`"

#: ../../source/getting_started/using_docker_image.rst:67
msgid "Mount your volume for loading and saving models"
msgstr "Montar el directorio del modelo"

#: ../../source/getting_started/using_docker_image.rst:68
msgid ""
"The image does not contain any model files by default, and it downloads the "
"models into the container. Typically, you would need to mount a directory on"
" the host machine to the docker container, so that Xinference can download "
"the models onto it, allowing for reuse. In this case, you need to specify a "
"volume when running the Docker image and configure environment variables for"
" Xinference:"
msgstr ""
"Por defecto, la imagen no incluye ningún archivo de modelo, y durante su "
"uso, los modelos se descargarán dentro del contenedor. Si necesita utilizar "
"modelos ya descargados, es necesario montar el directorio del host en el "
"contenedor. En este caso, debe especificar un volumen local al ejecutar el "
"contenedor y configurar variables de entorno para Xinference."

#: ../../source/getting_started/using_docker_image.rst:77
msgid ""
"The principle behind the above command is to mount the specified directory "
"from the host machine into the container, and then set the "
"``XINFERENCE_HOME`` environment variable to point to that directory inside "
"the container. This way, all downloaded model files will be stored in the "
"directory you specified on the host machine. You don't have to worry about "
"losing them when the Docker container stops, and the next time you run it, "
"you can directly use the existing models without the need for repetitive "
"downloads."
msgstr ""
"El principio del comando anterior es montar el directorio especificado en el"
" host dentro del contenedor y establecer la variable de entorno "
"``XINFERENCE_HOME`` para que apunte a ese directorio dentro del contenedor. "
"De esta forma, todos los archivos de modelo descargados se almacenarán en el"
" directorio que usted especificó en el host. No necesita preocuparse por "
"perder estos archivos cuando el contenedor Docker se detenga; la próxima vez"
" que ejecute el contenedor, podrá usar directamente los modelos existentes "
"sin necesidad de descargarlos nuevamente."

#: ../../source/getting_started/using_docker_image.rst:81
msgid ""
"If you downloaded the model using the default path on the host machine, and "
"since the xinference cache directory stores the model using symbolic links, "
"you need to mount the directory where the original file is located into the "
"container as well. For example, if you are using HuggingFace and Modelscope "
"as model hub, you would need to mount the corresponding directories into the"
" container. Generally, the cache directories for HuggingFace and Modelscope "
"are located at <home_path>/.cache/huggingface and "
"<home_path>/.cache/modelscope. The command would be like:"
msgstr ""
"Si descargó los modelos en las rutas predeterminadas del host, dado que el "
"directorio de caché de Xinference utiliza enlaces simbólicos para almacenar "
"los modelos, es necesario montar el directorio donde se encuentran los "
"archivos originales dentro del contenedor. Por ejemplo, si utiliza Hugging "
"Face y ModelScope como repositorios de modelos, deberá montar los "
"directorios correspondientes en el contenedor. Generalmente, los directorios"
" de caché correspondientes se encuentran en <home_path>/.cache/huggingface y"
" <home_path>/.cache/modelscope. El comando a utilizar es el siguiente:"

#~ msgid ""
#~ "For CUDA 12.8, add ``-cu128`` suffix, e.g. ``nightly-main-cu128``. "
#~ "(Xinference version should be between v1.8.1 and v1.15.0)"
#~ msgstr ""

#~ msgid ""
#~ "Starting from **Xinference v2.0**, only ``-cu129`` and ``-cpu`` images are "
#~ "officially provided."
#~ msgstr ""

#~ msgid ""
#~ "Starting from **Xinference v2.0**, only two image variants are provided: the"
#~ " default (no suffix, **CUDA 12.9**) and the ``-cpu`` image."
#~ msgstr ""

#~ msgid ""
#~ "For CUDA 12.9, no suffix, e.g. ``nightly-main``. (Xinference version should "
#~ "be v2.0 at least)"
#~ msgstr ""
