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OpenVINO vs PyTorch comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 4, 2024

Review summaries and opinions

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

Categories and Ranking

OpenVINO
Ranking in AI Development Platforms
14th
Average Rating
8.6
Reviews Sentiment
7.0
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
7.2
Number of Reviews
12
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2025, in the AI Development Platforms category, the mindshare of OpenVINO is 1.8%, down from 3.9% compared to the previous year. The mindshare of PyTorch is 1.2%, down from 2.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms
 

Featured Reviews

reviewer1530384 - PeerSpot reviewer
Open-source, easy to integrate, and perfectly tailored to the Movidius chipset
Generally, when you deploy edge products, it's really about latency. It's about getting that camera input, being able to process it, extracting the information you need, and getting the solution back to the person who made the request. Although I'm not necessarily saying its latency or accuracy is bad, it's always something that can be improved upon. By focusing on improving these areas, they can make the overall solution even better. At this point, the product could probably just use a greater integration with more machine learning model tools. However, that's not advice from experience per se. That's always just helpful in general. To be able to incorporate more models into the product makes it stronger. Therefore, to be clear, it's not coming from a point of a current deficiency. It's just a general comment.
Jithin James - PeerSpot reviewer
User-friendly, easy to learn, performs well, and is more advanced than other tools
The most valuable feature would be the solution’s performance. The product is more advanced than the other libraries that I have used. Since every functionality is production-ready, I can easily write code. I don't have to rewrite the code for production. It has production-ready code from the start. The tool is very user-friendly. It took us a week to learn how to use it. It's straightforward to learn.

Quotes from Members

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

Pros

"The inferencing and processing capabilities are quite beneficial for our requirements."
"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 initial setup is quite simple."
"The product's initial setup phase is easy."
"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."
"The tool is very user-friendly."
"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."
"It's been pretty scalable in terms of using multiple GPUs."
"The framework of the solution is valuable."
"I like PyTorch's scalability."
 

Cons

"At this point, the product could probably just use a greater integration with more machine learning model tools."
"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."
"The model optimization is a little bit slow — it could be improved."
"The training of the models could be faster."
"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."
"On the production side of things, having more frameworks would be helpful."
"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."
"The analyzing and latency of compiling could be improved to provide enhanced results."
"The product has certain shortcomings in the automation of machine learning."
"I do not have any complaints."
 

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

By visitors reading reviews
Manufacturing Company
46%
University
9%
Computer Software Company
7%
Financial Services Firm
5%
Manufacturing Company
30%
Computer Software Company
10%
Healthcare Company
9%
Financial Services Firm
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 is your experience regarding pricing and costs for PyTorch?
I haven't gone for a paid plan yet. I've just been using the free trial or open-source version.
What needs improvement with PyTorch?
The analyzing and latency of compiling could be improved to provide enhanced results.
 

Comparisons

 

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Overview

Find out what your peers are saying about OpenVINO vs. PyTorch and other solutions. Updated: January 2025.
831,265 professionals have used our research since 2012.