Google Cloud AI Platform vs OpenVINO comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Google Cloud AI Platform
Ranking in AI Development Platforms
6th
Average Rating
7.8
Number of Reviews
7
Ranking in other categories
No ranking in other categories
OpenVINO
Ranking in AI Development Platforms
11th
Average Rating
8.6
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Market share comparison

As of June 2024, in the AI Development Platforms category, the market share of Google Cloud AI Platform is 8.1% and it increased by 31.0% compared to the previous year. The market share of OpenVINO is 2.0% and it decreased by 29.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms
Unique Categories:
No other categories found
No other categories found
 

Featured Reviews

Vipul-Kumar - PeerSpot reviewer
Nov 3, 2023
An AI platform AI Platform to train your machine learning models at scale, to host your trained model in the cloud, and to use your model to make predictions about new data
It's a host of use cases depending on, again, the the client requirement.  A range of a a wide range of algorithms, EIM voice mails, which can be plugged in right away into your solution into into into our solution, and then have platform that provides know, to to come up with an operational…
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…

Quotes from Members

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

Pros

"The solution is able to read 90% of the documents correctly with a 10% error rate."
"Some of the valuable features are the vast amount of services that are available, such as load balancer, and the AI architecture."
"A range of a a wide range of algorithms, EIM voice mails, which can be plugged in right away into your solution into into into our solution, and then have platform that provides know, to to come up with an operational solution really quick."
"On GCP, we are exposing our API services to our clients so that they send us their information. It can be single individual records or it can be a batch of their clients."
"Since the model could be trained in just a couple of hours and deploying it took only a few minutes, the entire process took less than an hour."
"I think the user interface is quite handy, and it is easy to use as compared to the other cloud platforms."
"The initial setup is very straightforward."
"The initial setup is quite simple."
"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."
 

Cons

"The solution can be improved by simplifying the process to make your own models."
"One thing that I found is that Azure ML does not directly provide you with features on Google Cloud AI Platform, whereas Vertex provides some features of the platform."
"I think it's the it it also has has evolved quite a bit over the last few years, and Google Cloud folks have been getting, more and more services. But I think from a improvement standpoint, so maybe they can look at adding more algorithms, so adding more AI algorithms to their suite."
"The initial setup was straightforward for me but could be difficult for others."
"It could be more clear, and sometimes there are errors that I don't quite understand."
"Customizations are very difficult, and they take time."
"At first, there were only the user-managed rules to identify the best attributes of the individual. Then, we came up with a truth set and developed different machine learning models with the help of that truth set, so now it's completely machine learning."
"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."
 

Pricing and Cost Advice

"For every thousand uses, it is about four and a half euros."
"The pricing is on the expensive side."
"The price of the solution is competitive."
"The solution has an attractive starting program, which costs only 300 USD for a duration of three months. During this period, one can accomplish a lot of work on the solution."
"The licenses are cheap."
"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
Computer Software Company
13%
Financial Services Firm
11%
University
9%
Manufacturing Company
9%
Manufacturing Company
40%
Computer Software Company
9%
University
8%
Educational Organization
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What do you like most about Google Cloud AI Platform?
A range of a a wide range of algorithms, EIM voice mails, which can be plugged in right away into your solution into into into our solution, and then have platform that provides know, to to come up...
What is your primary use case for Google Cloud AI Platform?
It's a host of use cases depending on, again, the the client requirement.
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Sample Customers

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Find out what your peers are saying about Google Cloud AI Platform vs. OpenVINO and other solutions. Updated: May 2024.
787,226 professionals have used our research since 2012.