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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
Reviews Sentiment
6.4
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
A free toolkit providing improved neural network performance
The model optimization is a little bit slow — it could be improved. They should introduce some type of deep learning accelerator, like Jetson Xavier NX. There is a lacking in vehicle recognition — types of vehicles. Differentiating between cars, SUVs and different types of light, heavy, and medium trucks can be tricky. We have to train such models ourselves and then transfer them onto OpenVINO.
Arucy Lionel - PeerSpot reviewer
Offers good backward compatible and simple to use
One of the things I really like about PyTorch is that it doesn't break with every update or deletion. That's why I switched from TensorFlow to PyTorch. I can still run the code I wrote three years ago in PyTorch on the latest version. It's very backward compatible, and it's also very simple to use. It's not overly technical, and the flow is pretty intuitive. And now that PyTorch 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.

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."
"The framework of the solution is valuable."
"The product's initial setup phase is easy."
"For me, the product's initial setup phase is easy...For beginners, it is fairly easy to learn."
"I like that PyTorch actually follows the pythonic way, and I feel that it's quite easy. It's easy to find compared to others who require us to type a long paragraph of code."
"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."
"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."
"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."
"The tool is very user-friendly."
 

Cons

"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."
"At this point, the product could probably just use a greater integration with more machine learning model tools."
"There is not enough documentation about some methods and parameters. It is sometimes difficult to find information."
"We faced an issue with PyTorch due to version incompatibility. PyTorch has no latest version after v12.3."
"I would like to see better learning documents."
"On the production side of things, having more frameworks would be helpful."
"The training of the models could be faster."
"I've had issues with stability when I use a lot of data and try out different combinations of modeling techniques."
"The product has breakdowns when we change the versions a lot."
"The product has certain shortcomings in the automation of machine learning."
 

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."
"It is free."
"PyTorch is open source."
"The solution is affordable."
"It is free."
"PyTorch is open-sourced."
"PyTorch is an open-source solution."
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Top Industries

By visitors reading reviews
Manufacturing Company
47%
University
8%
Computer Software Company
8%
Financial Services Firm
5%
Manufacturing Company
30%
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

 

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Overview

Find out what your peers are saying about OpenVINO vs. PyTorch and other solutions. Updated: October 2024.
816,406 professionals have used our research since 2012.