Try our new research platform with insights from 80,000+ expert users

OpenVINO vs PyTorch comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

OpenVINO
Ranking in AI Development Platforms
13th
Average Rating
8.6
Number of Reviews
3
Ranking in other categories
No ranking in other categories
PyTorch
Ranking in AI Development Platforms
8th
Average Rating
8.6
Number of Reviews
10
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the AI Development Platforms category, the mindshare of OpenVINO is 2.3%, down from 4.7% compared to the previous year. The mindshare of PyTorch is 1.5%, down from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms
 

Featured Reviews

ZM
Nov 30, 2020
A free toolkit providing improved neural network performance
I created a retail recognition custom model — a model on RPX 2017. Afterward, I transferred it to OpenVINO for object detection and retail detection. We have a team of three people who use OpenVINO It's a great solution for getting camera images, processing them, and extracting the reserves. It's…
Arucy Lionel - PeerSpot reviewer
Nov 27, 2023
Offers good backward compatible and simple to use
We work a lot with text processing, vectorization, and other NLP tasks. Sometimes, we need to process websites, presentations, or optics quickly because they're used in user engines and other applications. We use PyTorch to test our implementations as well One of the things I really like about…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The initial setup is quite simple."
"The features for model comparison, the feature for model testing, evaluation, and deployment are very nice. It can work almost with all the models."
"The inferencing and processing capabilities are quite beneficial for our requirements."
"It’s reliable, secure and user-friendly. It allows you to develop any AIML project efficiently. PySearch is the best option for developing any project in the AIML domain. The product is easy to install."
"We use PyTorch libraries, which are working well. It's very easy."
"For me, the product's initial setup phase is easy...For beginners, it is fairly easy to learn."
"yTorch is gaining credibility in the research space, it's becoming easier to find examples of papers that use PyTorch. This is an advantage for someone who uses PyTorch primarily."
"The framework of the solution is valuable."
"Its interface is the most valuable. The ability to have an interface to train machine learning models and construct them with the high-level interface, without excess busting and reconstructing the same technical elements, is very useful."
"The product's initial setup phase is easy."
"It's been pretty scalable in terms of using multiple GPUs."
 

Cons

"At this point, the product could probably just use a greater integration with more machine learning model tools."
"The model optimization is a little bit slow — it could be improved."
"It has some disadvantages because when you're working with very complex models, neural networks if OpenVINO cannot convert them automatically and you have to do a custom layer and later add it to the model. It is difficult."
"There is not enough documentation about some methods and parameters. It is sometimes difficult to find information."
"The training of the models could be faster."
"PyTorch could make certain things more obvious. Even though it does make things like defining loss functions and calculating gradients in backward propagation clear, these concepts may confuse beginners. We find that it's kind of problematic. Despite having methods called on loss functions during backward passes, the oral documentation for beginners is quite complex."
"I would like to see better learning documents."
"The product has breakdowns when we change the versions a lot."
"We faced an issue with PyTorch due to version incompatibility. PyTorch has no latest version after v12.3."
"I've had issues with stability when I use a lot of data and try out different combinations of modeling techniques."
"I would like a model to be available. I think Google recently released a new version of EfficientNet. It's a really good classifier, and a PyTorch implementation would be nice."
 

Pricing and Cost Advice

"We didn't have to pay for any licensing with Intel OpenVINO. Everything is available on their site and easily downloadable for free."
"PyTorch is open source."
"The solution is affordable."
"It is free."
"It is free."
"PyTorch is an open-source solution."
"PyTorch is open-sourced."
report
Use our free recommendation engine to learn which AI Development Platforms solutions are best for your needs.
814,763 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Manufacturing Company
47%
University
9%
Computer Software Company
8%
Financial Services Firm
4%
Manufacturing Company
29%
Computer Software Company
11%
Healthcare Company
8%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

Ask a question
Earn 20 points
What needs improvement with PyTorch?
We faced an issue with PyTorch due to version incompatibility. PyTorch has no latest version after v12.3. We also faced a few version compatibility issues with CUDA drivers.
 

Comparisons

 

Learn More

Video not available
Video not available
 

Overview

Find out what your peers are saying about OpenVINO vs. PyTorch and other solutions. Updated: October 2024.
814,763 professionals have used our research since 2012.