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昇思MindSpore

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Huawei open-source full-scenario deep learning framework for training and inference across device, edge, and cloud.

ウェブサイト:https://www.mindspore.cn/
追加日:2026年7月13日
月間訪問者数:
85.1K
ソーシャルと電子メール:
deep learningAI frameworkopen sourcedistributed trainingautomatic differentiationcomputer vision
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昇思MindSpore
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ツール情報

昇思MindSporeとは何ですか?

MindSpore is an open-source AI framework that supports full-scenario deep learning training and inference. It provides automatic differentiation, distributed parallel training, data processing, and graph execution for applications in computer vision, natural language processing, large models, and scientific computing. Designed for device-edge-cloud deployment, it enables one training run with flexible multi-scenario use.

コア機能

  • Source-code conversion automatic differentiation

    General automatic differentiation based on source code conversion that enables easy neural network training.

  • Native distributed parallel training

    Built-in parallel capabilities for large model training with simple configuration interfaces for high-performance distributed training.

  • Full-scenario deployment

    Supports device-edge-cloud full-scenario deep learning training and inference with flexible multi-scenario deployment after one training.

  • Large model suites

    Includes MindSpore Transformers, MindSpore One, and vLLM-MindSpore Plugin for large model development and inference.

  • Scientific computing suites

    Provides AI4S fusion computing suites including MindSpore Elec, SPONGE, Flow, Earth, Chemistry, and Quantum.

  • Domain kits and tools

    Offers domain kits such as MindSpore CV, NLP, OCR, YOLO plus tools including MindStudio, MindSpore Armour, Golden Stick, and Insight.

  • MindSpore Lite

    Lightweight framework component for efficient inference deployment.

使用例

  • #1

    Computer vision tasks

    Image classification and other computer vision applications using datasets such as CIFAR-10.

  • #2

    Natural language processing

    Sentiment analysis and text classification models for NLP tasks.

  • #3

    Large model training and inference

    Distributed training and deployment of large models with parallel strategies and specialized suites.

  • #4

    Scientific computing and AI4S

    Fusion computing applications in electricity, molecular simulation, fluid dynamics, earth science, chemistry, and quantum computing.

以下に最適:Data scientistsAlgorithm engineers

料金プラン

Huawei open-source self-developed AI framework; framework is open source and community-driven.

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よくある質問

What is 昇思MindSpore?
昇思MindSpore is a Huawei open-source full-scenario deep learning framework for training and inference across device, edge, and cloud. It supports automatic differentiation, distributed parallel training, data processing, and graph execution for computer vision, natural language processing, large models, and scientific computing.
Who is 昇思MindSpore designed for?
It is aimed at data scientists and algorithm engineers working on AI applications.
Is 昇思MindSpore free to use?
Yes. It is an open-source framework that is community-driven.
What platforms does 昇思MindSpore support?
It supports device, edge, and cloud scenarios, multi-processor architectures, and Ascend, with flexible full-scenario deployment after a single training run.
What large model and scientific computing capabilities does it offer?
It includes large model suites such as MindSpore Transformers, MindSpore One, and the vLLM-MindSpore Plugin, plus scientific computing suites including MindSpore Elec, SPONGE, Flow, Earth, Chemistry, and Quantum.

昇思MindSpore 連絡先とソーシャルメディア

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ツール情報

料金モデルOpen Source
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タグ
deep learningAI frameworkopen sourcedistributed trainingautomatic differentiationcomputer vision
言語英語
最終更新日2026年7月16日
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