昇思MindSpore

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

Sitio web:https://www.mindspore.cn/

Añadido en:13 jul 2026

Visitantes mensuales:

85.1K

Redes sociales y correo electrónico:

deep learningAI frameworkopen sourcedistributed trainingautomatic differentiationcomputer vision

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Información de la herramienta

¿Qué es 昇思MindSpore?

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.

Características principales

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.

Casos de uso

#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.

Lo mejor para:Data scientistsAlgorithm engineers

Planes de precios

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

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Preguntas frecuentes

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.