Apache SINGA vs MindSpore
Apache SINGA
singa.apache.orgMindSpore
mindspore.cnSide by side
| Figure | Apache SINGA | MindSpore |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · Deep Learning Software | 8.2 (#8) | 7.3 (#27) |
| Distributed training | SINGA supports data-parallel training across multiple GPUs on one node or across different nodes. | The official site says MindSpore provides parallel capabilities and APIs for configuring distributed training of foundation models. |
| Support | The project lists mailing lists, issue tracking, and a security page under its community resources. | The official site directs users to its forum for help and professional answers, and to AtomGit to submit issues. |
Plans
In their own words
Apache SINGA
Apache SINGA is a free distributed deep-learning library for training deep-learning and machine-learning models. Its listed training mode is local, with data-parallel training across multiple GPUs on one node or across multiple nodes. GPU packages use CUDA and cuDNN, and Docker images are available for Nvidia GPUs. Installation options include pip, Docker, Conda, and source builds; pip documentation covers Python 3.9, 3.10, and 3.11. SINGA supports Python and C++, loads ONNX models, and can save models defined through its APIs in ONNX format. Optimizers listed include momentum-based stochastic gradient descent, Adam, RMSProp, and AdaGrad. Models can be queried in an RDBMS. The repository and Google Colab provide domain-specific models, including healthcare and science examples. It runs on Linux, macOS, Windows, and self-hosted environments, with on-premises deployment and Apache License 2.0 licensing.