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MindSpore

MindSpore

Deep learning framework for Ascend AI processor.

AI Developer ToolsAI Research ToolLarge Language Models (LLMs)Open Source AI Models
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User Rating
3.0
Score
60
Free/Trial Support
Supported
Features
4 Features
Last Updated
Feb 05, 2026

What is MindSpore?

昇思MindSpore is a full-scenario AI framework developed by Huawei. It is an open-source deep learning framework that supports automatic differentiation and parallel processing, enabling training once and deployment across multiple scenarios. It supports deep learning training and inference in edge, cloud, and device scenarios, and is mainly used in AI fields such as computer vision and natural language processing. It is designed for data scientists and algorithm engineers and features source code transformation-based automatic differentiation, automatic distributed parallel training, data processing, and a graph execution engine. The framework is open source, fostering an AI development ecosystem.

How to use MindSpore?

To use 昇思MindSpore, you can install it via Pip, Conda, Source, or Docker. The website provides installation guides and tutorials for learning the framework. You can explore various modules, toolkits, and model zoos for different AI tasks. The community offers forums and Gitee for support and collaboration.

Top Features

  • Automatic differentiation
  • Automatic distributed parallel training
  • Support for edge, cloud, and device scenarios
  • Model zoos and toolkits for various AI tasks

Pros & Cons

No Data

Use Cases

  • Computer vision applications
  • Natural language processing tasks
  • Scientific computing
  • AI-driven simulations (e.g., fluid dynamics, electromagnetics)
  • Quantum computing research

User Groups

No Data

MindSpore Pricing

Free PlanSubscription Plan
No detailed pricing information available

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Cover Preview

MindSpore cover

MINDSPORE Features

  • AI Developer Tools functionality
    AI Developer Tools
  • AI Research Tool functionality
    AI Research Tool
  • Large Language Models (LLMs) functionality
    Large Language Models (LLMs)
  • Open Source AI Models functionality
    Open Source AI Models

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