FedML supports distributed model training, model serving, and federated learning, with a scheduler for AI jobs across cloud and local clusters.
MindSpore
MindSpore provides a deep learning framework for training and inference across mobile, edge, and cloud scenarios.

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
- 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
MindSpore alternatives
Tools and sites you could use instead, ranked by how closely they match.
NVIDIA Triton Inference Server provides an inference solution for deploying models in cloud and edge environments.
Uniform deep learning inference framework for mobile, desktop and server.
BitNet provides an inference framework for one-bit large language models.
Jina Serve helps developers build multimodal AI applications with cloud-native tools.
OpenLLM runs open-source language models as cloud API endpoints compatible with OpenAI clients.
Popular in Model Serving & Inference
Well-known listings from the same topic.
MindSpore FAQ
Which hardware does MindSpore natively support?
Tell us and an editor will check it.
Claim the listing and suggest updates yourself. An editor checks every claim first.











