Comparison
DeepSpeed vs fastDeploy
Verdict
Pick DeepSpeed when license: DeepSpeed is Apache-2.0, fastDeploy is MIT; pick fastDeploy when license: fastDeploy is MIT, DeepSpeed is Apache-2.0.
Markdown twin · DeepSpeed alternatives · fastDeploy alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | DeepSpeed | fastDeploy |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1d · github_public_v1 | Slowing (154d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 4d · osv@v1 | No lockfile (source not queried) As of today · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- DeepSpeed
- Deep learning optimization library for efficient distributed training and inference
- fastDeploy
- Deploy DL/ ML inference pipelines with minimal extra code.
Stars
- DeepSpeed
- 43k
- fastDeploy
- 105
Forks
- DeepSpeed
- 4.9k
- fastDeploy
- 17
Open issues
- DeepSpeed
- 1.3k
- fastDeploy
- 0
Language
- DeepSpeed
- Python
- fastDeploy
- Python
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.
- fastDeploy
- -
Persona
- DeepSpeed
- -
- fastDeploy
- -
Runtime
- DeepSpeed
- -
- fastDeploy
- -
License
- DeepSpeed
- Apache-2.0
- fastDeploy
- MIT
Last pushed
- DeepSpeed
- Jul 13, 2026
- fastDeploy
- Feb 10, 2026
Categories
- DeepSpeed
- Inference & Serving, Model Training
- fastDeploy
- Inference & Serving, Model Training, Speech & Audio
Trust and health
Maintenance
- DeepSpeed
- Very active (96%)
- fastDeploy
- Slowing (36%)
Days since push
- DeepSpeed
- 0d
- fastDeploy
- 154d
Open issues (now)
- DeepSpeed
- 1.3k
- fastDeploy
- 0
Full report
- DeepSpeed
- Trust report
- fastDeploy
- Trust report
Choose DeepSpeed if…
- License: DeepSpeed is Apache-2.0, fastDeploy is MIT.
- 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 fastDeploy if…
- License: fastDeploy is MIT, DeepSpeed is Apache-2.0.
- Tags unique to fastDeploy: docker, falcon, gevent, gunicorn.
- Also covers Speech & Audio.
When NOT to use fastDeploy
- Last GitHub push was 154 days ago (slowing maintenance, Feb 10, 2026). Validate activity before betting a new project on fastDeploy.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
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 14, 2026
- GitHub forks (deepspeedai/DeepSpeed) · observed Jul 14, 2026
- Last push (deepspeedai/DeepSpeed) · observed Jul 13, 2026
- License file (Apache-2.0) · observed Jul 14, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (notAI-tech/fastDeploy) · observed Jul 15, 2026
- GitHub forks (notAI-tech/fastDeploy) · observed Jul 15, 2026
- Last push (notAI-tech/fastDeploy) · observed Feb 10, 2026
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: DeepSpeed 43k · fastDeploy 105 (synced Jul 14, 2026).
Common questions
- What is the difference between DeepSpeed and fastDeploy?
- DeepSpeed: Deep learning optimization library for efficient distributed training and inference. fastDeploy: Deploy DL/ ML inference pipelines with minimal extra code.. See the comparison table for live GitHub stats and shared categories.
- When should I choose DeepSpeed over fastDeploy?
- Choose DeepSpeed over fastDeploy when License: DeepSpeed is Apache-2.0, fastDeploy is MIT; 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 fastDeploy over DeepSpeed?
- Choose fastDeploy over DeepSpeed when License: fastDeploy is MIT, DeepSpeed is Apache-2.0; Tags unique to fastDeploy: docker, falcon, gevent, gunicorn; Also covers Speech & Audio.
- 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 fastDeploy?
- Last GitHub push was 154 days ago (slowing maintenance, Feb 10, 2026). Validate activity before betting a new project on fastDeploy. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is DeepSpeed or fastDeploy more popular on GitHub?
- DeepSpeed has more GitHub stars (42,700 vs 105). Stars measure visibility, not whether either tool fits your constraints.
- Are DeepSpeed and fastDeploy open source?
- Yes - both are open-source projects on GitHub (DeepSpeed: Apache-2.0, fastDeploy: MIT).
- Where can I find alternatives to DeepSpeed or fastDeploy?
- GraphCanon lists graph-backed alternatives at DeepSpeed alternatives and fastDeploy alternatives (DeepSpeed markdown twin, fastDeploy 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 fastDeploy?
- DeepSpeed: Very active. fastDeploy: Slowing. 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 fastDeploy?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepSpeed trust report; fastDeploy trust report.