# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2023, Xorbits Inc.
# This file is distributed under the same license as the Xinference package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2024.
#
msgid ""
msgstr ""
"Project-Id-Version: Xinference\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-07 16:58+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: it <LL@li.org>\n"
"Language: it\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=2; plural=(n != 1);\n"
"Generated-By: Babel 2.18.0\n"

#: ../../source/getting_started/installation_npu.rst:6
msgid "Installation Guide for Ascend NPU"
msgstr "Installazione su NPU Ascend"

#: ../../source/getting_started/installation_npu.rst:7
msgid ""
"Xinference can run on Ascend NPU, follow below instructions to install."
msgstr ""
"Xinference può essere eseguito su Ascend NPU. Installare utilizzando il "
"seguente comando."

#: ../../source/getting_started/installation_npu.rst:11
msgid ""
"The open-source version relies on Transformers for inference, which can be "
"slow on chips like 310p3. We provide an enterprise version that supports the"
" MindIE engine, offering better performance and compatibility for Ascend "
"NPU. Refer to `Xinference Enterprise <https://xinference.io>`_"
msgstr ""
"La versione open source dipende da Transformers per l'inferenza, il che può "
"causare problemi di lentezza su chip come il 310p3. Forniamo una versione "
"enterprise che supporta il motore MindIE, con prestazioni più elevate e "
"migliore compatibilità per supportare Ascend NPU. Per maggiori dettagli, "
"consulta `Xinference versione enterprise <https://xinference.cn>`_"

#: ../../source/getting_started/installation_npu.rst:18
msgid "Installing PyTorch and Ascend extension for PyTorch"
msgstr "Installa PyTorch e l'estensione Ascend"

#: ../../source/getting_started/installation_npu.rst:19
msgid "Install PyTorch CPU version and corresponding Ascend extension."
msgstr ""
"Installa la versione CPU di PyTorch e l'estensione Ascend corrispondente."

#: ../../source/getting_started/installation_npu.rst:21
msgid "Take PyTorch v2.1.0 as example."
msgstr "Prendendo PyTorch v2.1.0 come esempio."

#: ../../source/getting_started/installation_npu.rst:27
msgid ""
"Then install `Ascend extension for PyTorch "
"<https://github.com/Ascend/pytorch>`_."
msgstr ""
"Successivamente, installare l' `estensione PyTorch di Ascend "
"<https://gitee.com/ascend/pytorch>`_."

#: ../../source/getting_started/installation_npu.rst:35
msgid ""
"Running below command to see if it correctly prints the Ascend NPU count."
msgstr ""
"Esegui il seguente comando per verificare; se funziona correttamente, verrà "
"stampato il numero di NPU Ascend."

#: ../../source/getting_started/installation_npu.rst:42
msgid "Installing Xinference"
msgstr "Installa Xinference"

#: ../../source/getting_started/installation_npu.rst:48
msgid ""
"Now you can use xinference according to :ref:`doc <using_xinference>`. "
"``Transformers`` backend is the only available engine supported for Ascend "
"NPU for open source version."
msgstr ""
"Ora puoi fare riferimento alla :ref:`documentazione <using_xinference>` per "
"utilizzare Xinference. ``Transformers`` è l'unico motore open source che "
"supporta l'NPU Ascend."

#: ../../source/getting_started/installation_npu.rst:52
msgid "Enterprise Support"
msgstr "Supporto aziendale"

#: ../../source/getting_started/installation_npu.rst:53
msgid ""
"If you encounter any performance or other issues for Ascend NPU, please "
"reach out to us via `link <https://xinference.io>`_."
msgstr ""
"Se riscontri problemi di performance o di altro tipo con Ascend NPU, ti "
"invitiamo a contattare Xinference Enterprise Edition. Puoi contattarci `qui "
"<https://xinference.cn/contact>`_."
