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Azure AI Foundry vs OpenVINO comparison

 

Comparison Buyer's Guide

Executive Summary

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

Azure AI Foundry
Ranking in AI Development Platforms
7th
Average Rating
8.0
Reviews Sentiment
5.7
Number of Reviews
16
Ranking in other categories
Low-Code Development Platforms (10th), Integration Platform as a Service (iPaaS) (10th), AI-Agent Builders (3rd)
OpenVINO
Ranking in AI Development Platforms
13th
Average Rating
8.2
Reviews Sentiment
6.3
Number of Reviews
7
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Sudhakar Pyndi - PeerSpot reviewer
Data, Analytics & Ai Senior Director, Enterprise Architecture at a comms service provider with 10,001+ employees
Document processing has accelerated contract reviews and enabled rapid development of AI-driven supply chain solutions
With regard to security, compliance, or governance features in Azure AI Foundry, this is something that we have started looking into, primarily using Microsoft Purview for our governance, data governance. There is this new module called DSPM for AI, and we are exploring it while trying to operationalize it with different policies and so forth, but we're still not where we want to be on the governance, AI governance side. It's a process and a path, and we are trying to work through that right now. Azure AI Foundry can be improved from the governance perspective, as a lot can be done. The promising part is the recent announcement on the Foundry control plane. A couple of days back, there was an announcement regarding it bringing in some of the gaps that were on the platform, so it's a really positive direction in terms of where it's going. More governance is what is lacking, but the control plane will really play a big role there.
Mahender Reddy Pokala - PeerSpot reviewer
AI Developer at University of Chicago
Improved model deployment on edge devices, but compatibility and scalability present challenges
I found OpenVINO's ability to convert custom models into its format particularly beneficial, as businesses sometimes require unique models specific to their use cases. Utilizing OpenVINO allowed me to run these custom models on devices directly, which I found quite impressive. Additionally, the Model Zoo offered by OpenVINO added value to the product.

Quotes from Members

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

Pros

"The benefit of using Azure AI Foundry for the organization is saving time, so saving time and then making money—now that we have this, many people were not doing this because it took them so long to do that research, that has been fixed."
"The features of Azure AI Foundry that I appreciate the most include the model catalog and the capability to deploy all of these different models, especially now that they've added Anthropic, which was the big one that was missing."
"Azure AI Foundry has affected our management of privacy, performance, and compliance primarily based on our location in the UK, where it is more focused on the region in terms of where that data is being processed and who has access to it, which is hopefully no one other than us."
"With Document Intelligence, we just went through Foundry, enabled Document Intelligence, and we were able to get everything done in less than 90 days for the complete end-to-end solution we built on that."
"These features have benefited our organization by allowing us to release new products and new offerings this year, accelerate our growth, and quickly drive our AI agents into customers' hands."
"The biggest return on investment for me when using Azure AI Foundry is the savings in cost for implementing our own observability, visibility, evaluation, and building our own infrastructure to do proof of concepts."
"The most beneficial feature of Azure AI Foundry for enhancing customer experience is the ability to use Azure Functions to call things outside of Azure AI Foundry, making it more comprehensive as a feature."
"The features of Azure AI Foundry that I appreciate the most include the containment of all the agents and the ability to see all agents in a single dashboard and to have access to all of them from one portal."
"One positive aspect about OpenVINO is that it supports more frameworks than the Google Coral TPU."
"Intel's support team is very good."
"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."
"The inferencing and processing capabilities are quite beneficial for our requirements."
"The runtime of OpenVINO is highly valuable for running different computer vision models."
"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."
 

Cons

"The deployment process for Azure AI Foundry has been very challenging. There are many issues with policies, and because we have very stringent controls, we need to know exactly how Azure AI Foundry works before we can deploy it."
"My experience with Azure AI Foundry's pricing, setup cost, and licensing was a mess."
"Azure AI Foundry can be improved by adding educational features."
"My biggest critique is some of the fragmentation of their different AI services they have, including AI Open, OpenAI, Azure OpenAI, and Azure Foundry. They feel very disjointed sometimes, so having a unified single experience for all of that would be ideal."
"In Azure AI Foundry, I did not see many tools inside to test it that can really help us. I wish there were more tooling."
"Azure AI Foundry can be improved from the governance perspective, as a lot can be done."
"I find that the online documentation can sometimes be confusing, requiring extensive searching through multiple articles to locate specific information."
"Right now, because of the UI and the complexity of it, it is complicated and cumbersome, and I think figuring out how to simplify that would probably make it a faster process."
"It would be great if OpenVINO could convert new models into its format more quickly."
"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."
"Scalability is a challenge with OpenVINO, particularly when I try to connect multiple streams of input or run multiple edge devices consecutively."
"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."
"At this point, the product could probably just use a greater integration with more machine learning model tools."
"I couldn't get it to run on my Raspberry Pi 4 because the software packages to download were no longer available."
 

Pricing and Cost Advice

Information not available
"We didn't have to pay for any licensing with Intel OpenVINO. Everything is available on their site and easily downloadable for free."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Manufacturing Company
15%
Outsourcing Company
13%
Retailer
12%
Manufacturing Company
32%
Financial Services Firm
8%
Comms Service Provider
8%
Educational Organization
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise13
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Azure AI Foundry?
I would need to ask my technical team about my experience with the pricing, setup costs, and licensing.
What needs improvement with Azure AI Foundry?
The platform's effect on my management of privacy, performance, and compliance across different regions is quite complex because Azure AI Foundry does not make it very clear how to deploy. We set u...
What is your primary use case for Azure AI Foundry?
My main use cases for Azure AI Foundry include deploying AI applications to perform document comparison, translation services, and a chat feature, helping the digital AI team at our company. Curren...
What needs improvement with OpenVINO?
I have heard good things about OpenVINO. It doesn't consume much current for external GPU usage. However, it has some downsides because I couldn't get it to run on my Raspberry Pi 4. While not spec...
What is your primary use case for OpenVINO?
I wanted to use OpenVINO for my Raspberry Pi to analyze my sleep with a night vision camera and to improve GPU performance on my Raspberry Pi. I would have used OpenVINO's Model Optimizer feature t...
 

Comparisons

 

Overview

Find out what your peers are saying about Azure AI Foundry vs. OpenVINO and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.