Comparison
DeepSpeed vs mindspore
Verdict
Pick DeepSpeed if decisions for DeepSpeed use are driven by its capacity to handle large models efficiently using techniques such as data parallelism, model parallelism, pipeline parallelism, and compression; pick mindspore if mindSpore's core strengths lie in its flexibility across Ascend910, GPU CUDA 10.1, and CPU setups on multiple OSes; it excels in mobile, edge, and cloud scenarios.
Markdown twin · DeepSpeed alternatives · mindspore alternatives
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Trust & integrity
| Signal | DeepSpeed | mindspore |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1d · github_public_v1 | Dormant (712d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | 103 low (103 low) As of 1d · osv@v1 |
Tagline
- DeepSpeed
- Deep learning optimization library for efficient distributed training and inference
- mindspore
- An open-source deep learning framework for mobile, edge and cloud scenarios.
Stars
- DeepSpeed
- 43k
- mindspore
- 4.7k
Forks
- DeepSpeed
- 4.9k
- mindspore
- 752
Open issues
- DeepSpeed
- 1.3k
- mindspore
- 225
Language
- DeepSpeed
- Python
- mindspore
- C++
Adopt for
- DeepSpeed
- Decisions for DeepSpeed use are driven by its capacity to handle large models efficiently using techniques such as data parallelism, model parallelism, pipeline parallelism, and compression.
- mindspore
- MindSpore's core strengths lie in its flexibility across Ascend910, GPU CUDA 10.1, and CPU setups on multiple OSes; it excels in mobile, edge, and cloud scenarios.
Persona
- DeepSpeed
- -
- mindspore
- -
Runtime
- DeepSpeed
- -
- mindspore
- -
License
- DeepSpeed
- Apache-2.0
- mindspore
- Apache-2.0
Last pushed
- DeepSpeed
- Jul 11, 2026
- mindspore
- Jul 29, 2024
Categories
- DeepSpeed
- Inference & Serving, Model Training
- mindspore
- Inference & Serving, Model Training
Trust and health
Maintenance
- DeepSpeed
- Very active (96%)
- mindspore
- Dormant (18%)
Days since push
- DeepSpeed
- 0d
- mindspore
- 712d
Open issues (now)
- DeepSpeed
- 1.3k
- mindspore
- 225
Security scan
- DeepSpeed
- No lockfile
- mindspore
- 103 low (103 low)
Full report
- DeepSpeed
- Trust report
- mindspore
- Trust report
Choose DeepSpeed if…
- DeepSpeed is primarily Python; mindspore is C++.
- Tags unique to DeepSpeed: billion-parameters, compression, data-parallelism, gpu.
- - When training or inferring with PyTorch on large datasets or complex deep learning models (up to trillion parameters)
When NOT to use DeepSpeed
- - When you are working in an environment that only supports CPU-based training without access to CUDA or ROCm compatible GPUs
- - If your project's PyTorch version is less than 2.0, DeepSpeed may not support all of its features and optimizations effectively
Choose mindspore if…
- mindspore is primarily C++; DeepSpeed is Python.
- Tags unique to mindspore: ascend910, cpu support, gpu support, inference framework.
- When working with Huawei's Ascend hardware like Ascend910
When NOT to use mindspore
- Avoid if only NVIDIA GPUs without CUDA 10.1 support are available
- Not ideal for users requiring non-LINUX (excluding Windows) environments beyond specified Ubuntu/CentOS/x86 versions
- If development primarily targets hardware not covered by MindSpore's Ascend, CUDA, or CPU setups
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (deepspeedai/DeepSpeed) · observed Jul 11, 2026
- GitHub forks (deepspeedai/DeepSpeed) · observed Jul 11, 2026
- Last push (deepspeedai/DeepSpeed) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (mindspore-ai/mindspore) · observed Jul 11, 2026
- GitHub forks (mindspore-ai/mindspore) · observed Jul 11, 2026
- Last push (mindspore-ai/mindspore) · observed Jul 29, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: DeepSpeed 43k · mindspore 4.7k (synced Jul 11, 2026).
Common questions
- What is the difference between DeepSpeed and mindspore?
- DeepSpeed: Deep learning optimization library for efficient distributed training and inference. mindspore: An open-source deep learning framework for mobile, edge and cloud scenarios.. See the comparison table for live GitHub stats and shared categories.
- When should I choose DeepSpeed over mindspore?
- Choose DeepSpeed over mindspore when DeepSpeed is primarily Python; mindspore is C++; Tags unique to DeepSpeed: billion-parameters, compression, data-parallelism, gpu; - When training or inferring with PyTorch on large datasets or complex deep learning models (up to trillion parameters).
- When should I choose mindspore over DeepSpeed?
- Choose mindspore over DeepSpeed when mindspore is primarily C++; DeepSpeed is Python; Tags unique to mindspore: ascend910, cpu support, gpu support, inference framework; When working with Huawei's Ascend hardware like Ascend910.
- When should I avoid DeepSpeed?
- - When you are working in an environment that only supports CPU-based training without access to CUDA or ROCm compatible GPUs - If your project's PyTorch version is less than 2.0, DeepSpeed may not support all of its features and optimizations effectively
- When should I avoid mindspore?
- Avoid if only NVIDIA GPUs without CUDA 10.1 support are available Not ideal for users requiring non-LINUX (excluding Windows) environments beyond specified Ubuntu/CentOS/x86 versions If development primarily targets hardware not covered by MindSpore's Ascend, CUDA, or CPU setups
- Is DeepSpeed or mindspore more popular on GitHub?
- DeepSpeed has more GitHub stars (42,685 vs 4,694). Stars measure visibility, not whether either tool fits your constraints.
- Are DeepSpeed and mindspore open source?
- Yes - both are open-source projects on GitHub (DeepSpeed: Apache-2.0, mindspore: Apache-2.0).
- Where can I find alternatives to DeepSpeed or mindspore?
- GraphCanon lists graph-backed alternatives at DeepSpeed alternatives and mindspore alternatives (DeepSpeed markdown twin, mindspore markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, DeepSpeed or mindspore?
- DeepSpeed: Very active. mindspore: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for DeepSpeed and mindspore?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepSpeed trust report; mindspore trust report.