1
Also covers llm · open source
PEFT provides parameter-efficient fine-tuning methods for adapting pretrained machine learning models.
Alternatives
The Best DeepSpeed Alternatives in 2026
17 alternatives0 free · 14 open source
Looking for something like DeepSpeed? Here are 17 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 14 are open source.
DeepSpeed provides optimization tools that make distributed deep learning training more efficient.
Top picks at a glance
First suggestionpeftPEFT provides parameter-efficient fine-tuning methods for…Another optionp-tuning-v2P-tuning v2 is a deep prompt tuning strategy designed as an…
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | peft | — | Yes | — |
| 2 | p-tuning-v2 | — | Yes | — |
| 3 | oumi-ai/oumi | — | Yes | — |
| 4 | DeepSpeed | — | Yes | — |
| 5 | Petastorm | — | Yes | — |
| 6 | Accelerate | — | Yes | — |
| 7 | Deeplearning4j | — | Yes | — |
| 8 | Determined | — | Yes | — |
| 9 | Optuna | — | Not stated | Web |
| 10 | neural-fortran | — | Yes | — |
All DeepSpeed alternatives
2
Also covers llm · open source
P-tuning v2 is a deep prompt tuning strategy designed as an alternative to full model fine-tuning.
3
Also covers llm · open source
oumi supports fine-tuning, evaluation, and deployment of open-weight language models.
4
Open source
DeepSpeed optimizes distributed training and inference for deep learning models.
5
Open source
Enables single machine or distributed training and evaluation of deep learning models.
6
Open source
Hugging Face Accelerate launches and trains PyTorch models across devices and distributed configurations.
7
Open source
Deeplearning4j provides tools for training and deploying deep learning models in the JVM.
8
Open source
Determined manages distributed model training, hyperparameter tuning, experiment tracking, and resources.
9
Optuna
optuna.orgOptuna automates hyperparameter optimization for machine learning models.
10
Also covers api · open source
neural-fortran provides a parallel framework for deep learning in Fortran.
11
Also covers api · open source
KotlinDL supports deep learning model development through a high-level framework for Kotlin.
12
hyperopt
github.com/hyperopt/hyperopt-sklearnhyperopt-sklearn uses hyperparameter optimization to select machine learning algorithms for scikit-learn.
13
Knet
github.com/denizyuret/Knet.jlKnet provides a deep learning framework developed at Koç University for building models.
14
Open source
AutoKeras automates development of deep learning models through a machine learning library.
15
Open source
Use Learnergy, a Python library for training and working with energy-based machine learning models.
16
Open source
Detecto supports building and training computer vision models with the PyTorch machine learning framework.
17
Open source
ML_Forgex trains, evaluates, and predicts with machine learning models on cleaned datasets.
No alternatives match this filter.
Alternatives to similar tools
Accelerate24 alternativesLearnergy24 alternativesp-tuning-v224 alternativesneural-fortran24 alternativesPetastorm24 alternativesmlforgex24 alternatives
What is the best alternative to DeepSpeed?
Based on features, tags and platforms, the closest alternatives to DeepSpeed are peft, p-tuning-v2, and oumi-ai/oumi.
Are there open-source alternatives to DeepSpeed?
Yes: peft, p-tuning-v2, oumi-ai/oumi, and DeepSpeed.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative