# 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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msgstr ""
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#: ../../source/user_guide/distributed_inference.rst:5
msgid "Distributed Inference"
msgstr "Distributed inference"

#: ../../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 ""
"Alcuni modelli linguistici, inclusi **DeepSeek V3**, **DeepSeek R1** e "
"altri, sono troppo grandi per essere adattati alla GPU di una singola "
"macchina. Xinference supporta l'esecuzione di questi modelli su più "
"macchine."

#: ../../source/user_guide/distributed_inference.rst:13
msgid "Supported Engines"
msgstr "Motori supportati"

#: ../../source/user_guide/distributed_inference.rst:14
msgid "Now, Xinference supported below engines to run models across workers."
msgstr ""
"Ora, Xinference supporta i seguenti motori per eseguire modelli su più "
"worker."

#: ../../source/user_guide/distributed_inference.rst:16
msgid ":ref:`SGLang <sglang_backend>` (supported in v1.3.0)"
msgstr ":ref:`SGLang <sglang_backend>` (supportato in 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>` (supportato in 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>` (supporto dalla v1.7.1) attualmente non supporta "
"tutti i modelli in modalità distribuita. Al momento sono supportati i "
"seguenti tipi di modelli. Se hai altre esigenze, ti invitiamo a inviare una "
"issue su GitHub all'indirizzo `https://github.com/xorbitsai/inference/issues"
" <https://github.com/xorbitsai/inference/issues>`_ per richiedere supporto."

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

#: ../../source/user_guide/distributed_inference.rst:23
msgid "Qwen2.5-instruct and the models have the same model architectures."
msgstr "Qwen2.5-instruct e altri modelli con la stessa architettura."

#: ../../source/user_guide/distributed_inference.rst:24
msgid "Qwen3 and the models have the same model architectures."
msgstr "Qwen3 e altri modelli con la stessa architettura del modello."

#: ../../source/user_guide/distributed_inference.rst:25
msgid "Qwen3-moe and the models have the same model architectures."
msgstr "Qwen3-moe e altri modelli con la stessa architettura del modello."

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

#: ../../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 ""
"Innanzitutto, sono necessari almeno 2 nodi di lavoro per supportare "
"l'inferenza distribuita. Fare riferimento a :ref:`Esecuzione di Xinference "
"in un cluster <distributed_getting_started>` per creare un cluster "
"Xinference composto da un nodo supervisor e nodi di lavoro."

#: ../../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+) Note: A partire dalla versione vLLM v0.11.0, la "
"distribuzione distribuita con vLLM richiede Xinference >= v1.17.1. Oltre al "
"parametro originale ``--n-worker``, è necessario impostare anche i parametri"
" ``tensor_parallel_size`` (impostarlo al **numero di GPU**) e "
"``pipeline_parallel_size=1`` durante l'avvio del modello."

#: ../../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 ""
"Poi, se stai utilizzando l'interfaccia web, seleziona il numero desiderato "
"di macchine come ``worker count`` nella configurazione opzionale; se stai "
"utilizzando la riga di comando, aggiungi ``--n-worker <numero di macchine>``"
" quando avvii il modello. Il modello verrà avviato di conseguenza su più "
"nodi di lavoro."

#: ../../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 ""
"Quando si utilizza l'inferenza distribuita, ``GPU count`` nell'interfaccia "
"Web UI o ``--n-gpu`` nella riga di comando ora rappresentano il numero di "
"GPU per ciascun nodo di lavoro."
