MindSpore

MindSpore provides a deep learning framework for training and inference across mobile, edge, and cloud scenarios.

github.com/mindspore-ai/mindspore
MindSpore homepage screenshot

About MindSpore

MindSpore is an open source deep learning framework for training and inference, described by its maintainers as usable in mobile, edge, and cloud scenarios. It is hosted as a GitHub repository. The project describes its target users as data scientists and algorithmic engineers, and says it includes native support for the Ascend AI processor and software-hardware co-optimization.

The framework uses source transformation for automatic differentiation, which the project says supports automatic control flow and enables static compilation optimization of neural networks. It also includes an automatic parallel feature intended to combine data parallelism, model parallelism, and hybrid parallelism, selecting a model splitting strategy automatically.

Key features

  • Training and inference for mobile, edge, and cloud scenarios
  • Automatic differentiation based on source transformation
  • Automatic differentiation of control flow
  • Static compilation optimization of neural networks
  • Automatic parallel training combining data, model, and hybrid parallelism
  • Native support for the Ascend AI processor
Best for: Data scientists and algorithmic engineers who build or deploy deep learning models and want an open source framework for training and inference.
Good for
  • Open source, with the source code available in a public repository
  • Automatic differentiation that the project says supports control flow, similar in usability to PyTorch
  • Automatic parallel feature that selects a model splitting strategy without manual setup

MindSpore at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026

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MindSpore FAQ

Which hardware does MindSpore natively support?
The project describes native support for the Ascend AI processor and software-hardware co-optimization.
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