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OpenVINO pros and cons

Vendor: Intel
4.1 out of 5

Pros & Cons summary

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Prominent pros & cons

PROS

OpenVINO provides excellent features for model comparison, testing, evaluation, and deployment.
OpenVINO is compatible with almost all models.
Inferencing and processing capabilities are highly beneficial for various requirements.
OpenVINO's runtime is valuable for running different computer vision models.
OpenVINO enables cost savings by allowing inference on commodity hardware instead of relying on high-cost GPU options.

CONS

OpenVINO struggles with very complex models when automatic conversion is not possible and requires creating custom layers.
Model optimization in OpenVINO is slower than desired.
Greater integration with more machine learning model tools is needed.
Scalability is a challenge when dealing with multiple input streams or running multiple edge devices.
New models could be converted into OpenVINO's format more quickly.
 

OpenVINO Pros review quotes

JH
Jul 31, 2025
The benefit from using OpenVINO is that NVIDIA is dominating the market of GPUs and they set the price, so if I am able to run an LLM doing inference in commodity hardware, I am saving costs.
reviewer1530384 - PeerSpot reviewer
Mar 17, 2021
The initial setup is quite simple.
CR
Nov 22, 2020
The features for model comparison, the feature for model testing, evaluation, and deployment are very nice. It can work almost with all the models.
Learn what your peers think about OpenVINO. Get advice and tips from experienced pros sharing their opinions. Updated: August 2025.
865,384 professionals have used our research since 2012.
ZM
Nov 30, 2020
The inferencing and processing capabilities are quite beneficial for our requirements.
Mahender Reddy Pokala - PeerSpot reviewer
Mar 28, 2025
Intel's support team is very good.
DS
Apr 2, 2025
The runtime of OpenVINO is highly valuable for running different computer vision models.
 

OpenVINO Cons review quotes

JH
Jul 31, 2025
I think that it's not properly designed for scalability. It's designed for other purposes, specifically to be able to use Intel hardware and run inference using generative models or deep learning models in Intel hardware.
reviewer1530384 - PeerSpot reviewer
Mar 17, 2021
At this point, the product could probably just use a greater integration with more machine learning model tools.
CR
Nov 22, 2020
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.
Learn what your peers think about OpenVINO. Get advice and tips from experienced pros sharing their opinions. Updated: August 2025.
865,384 professionals have used our research since 2012.
ZM
Nov 30, 2020
The model optimization is a little bit slow — it could be improved.
IJ
Aug 1, 2025
I couldn't get it to run on my Raspberry Pi 4 because the software packages to download were no longer available.
Mahender Reddy Pokala - PeerSpot reviewer
Mar 28, 2025
Scalability is a challenge with OpenVINO, particularly when I try to connect multiple streams of input or run multiple edge devices consecutively.
DS
Apr 2, 2025
It would be great if OpenVINO could convert new models into its format more quickly.