Comparison
accelerate vs surogate
Verdict
Pick accelerate if tool: accelerate; pick surogate if surogate is a C++-based repository that accelerates training and fine-tuning for generative AI models using CUDA on NVIDIA GPUs.
Markdown twin · accelerate alternatives · surogate alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | accelerate | surogate |
|---|---|---|
| Maintenance | Very active (3d since push) As of 3w · github_public_v1 | Very active (1d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- accelerate
- A tool for launching, training, and using PyTorch models with ease on various devices, configurations, including mixed precision support.
- surogate
- Training/Fine-tuning at the speed of light
Stars
- accelerate
- 9.8k
- surogate
- 813
Forks
- accelerate
- 1.4k
- surogate
- 8
Open issues
- accelerate
- 105
- surogate
- 7
Language
- accelerate
- Python
- surogate
- C++
Adopt for
- accelerate
- Tool: accelerate
- surogate
- surogate is a C++-based repository that accelerates training and fine-tuning for generative AI models using CUDA on NVIDIA GPUs
Persona
- accelerate
- -
- surogate
- -
Runtime
- accelerate
- -
- surogate
- -
License
- accelerate
- Apache-2.0
- surogate
- Apache-2.0
Last pushed
- accelerate
- Jul 30, 2026
- surogate
- Aug 23, 2026
Categories
- accelerate
- Inference & Serving, Model Training
- surogate
- Model Training
Trust and health
Days since push
- accelerate
- 3d
- surogate
- 1d
Open issues (now)
- accelerate
- 105
- surogate
- 7
Stars delta
- accelerate
- Unknown
- surogate
- +7 (30d)
Open issues delta
- accelerate
- Unknown
- surogate
- +1 (30d)
Full report
- accelerate
- Trust report
- surogate
- Trust report
Choose accelerate if…
- accelerate is primarily Python; surogate is C++.
- Tags unique to accelerate: deepspeed, fsdp, mixed precision, pytorch.
- Also covers Inference & Serving.
- Easy mixed-precision support for PyTorch models
When NOT to use accelerate
- Non-PyTorch projects do not benefit from this tool
- Doesnt offer advanced auto-tuning features for other frameworks like TensorFlow
- Limited to Python environments compatible with PyTorch 1.10.0+
Choose surogate if…
- surogate is primarily C++; accelerate is Python.
- Tags unique to surogate: cuda, deep-learning, fine-tuning, generative-ai.
- When needing rapid training and fine-tuning capabilities for generative AI models that take full advantage of NVIDIA GPU acceleration via CUDA.
When NOT to use surogate
- If working in an environment without access to NVIDIA GPUs, as surogate leverages CUDA for its speed optimizations specifically designed for these hardware configurations.
- When looking to use a more accessible language like Python for training and fine-tuning, since surogate is based on C++ which may offer less ease-of-use.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (huggingface/accelerate) · observed Aug 3, 2026
- GitHub forks (huggingface/accelerate) · observed Aug 3, 2026
- Last push (huggingface/accelerate) · observed Jul 30, 2026
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (invergent-ai/surogate) · observed Aug 24, 2026
- GitHub forks (invergent-ai/surogate) · observed Aug 24, 2026
- Last push (invergent-ai/surogate) · observed Aug 23, 2026
- License file (Apache-2.0) · observed Aug 24, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: accelerate 9.8k · surogate 813 (synced Aug 3, 2026).
Common questions
- What is the difference between accelerate and surogate?
- accelerate: A tool for launching, training, and using PyTorch models with ease on various devices, configurations, including mixed precision support.. surogate: Training/Fine-tuning at the speed of light. See the comparison table for live GitHub stats and shared categories.
- When should I choose accelerate over surogate?
- Choose accelerate over surogate when accelerate is primarily Python; surogate is C++; Tags unique to accelerate: deepspeed, fsdp, mixed precision, pytorch; Also covers Inference & Serving; Easy mixed-precision support for PyTorch models.
- When should I choose surogate over accelerate?
- Choose surogate over accelerate when surogate is primarily C++; accelerate is Python; Tags unique to surogate: cuda, deep-learning, fine-tuning, generative-ai; When needing rapid training and fine-tuning capabilities for generative AI models that take full advantage of NVIDIA GPU acceleration via CUDA.
- When should I avoid accelerate?
- Non-PyTorch projects do not benefit from this tool Doesnt offer advanced auto-tuning features for other frameworks like TensorFlow Limited to Python environments compatible with PyTorch 1.10.0+
- When should I avoid surogate?
- If working in an environment without access to NVIDIA GPUs, as surogate leverages CUDA for its speed optimizations specifically designed for these hardware configurations. When looking to use a more accessible language like Python for training and fine-tuning, since surogate is based on C++ which may offer less ease-of-use.
- Is accelerate or surogate more popular on GitHub?
- accelerate has more GitHub stars (9,803 vs 813). Stars measure visibility, not whether either tool fits your constraints.
- Are accelerate and surogate open source?
- Yes - both are open-source projects on GitHub (accelerate: Apache-2.0, surogate: Apache-2.0).
- Where can I find alternatives to accelerate or surogate?
- GraphCanon lists graph-backed alternatives at accelerate alternatives and surogate alternatives (accelerate markdown twin, surogate 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, accelerate or surogate?
- accelerate: Very active. surogate: Very active. 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 accelerate and surogate?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: accelerate trust report; surogate trust report.