Try our new research platform with insights from 80,000+ expert users

Google Cloud AI Platform 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

Google Cloud AI Platform
Ranking in AI Development Platforms
7th
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
9
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
13
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2025, in the AI Development Platforms category, the mindshare of Google Cloud AI Platform is 4.9%, down from 7.0% compared to the previous year. The mindshare of PyTorch is 1.2%, down from 1.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms
 

Featured Reviews

Vipul-Kumar - PeerSpot reviewer
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
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.
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

"I have seen measurable benefits from Google Cloud AI Platform."
"The initial setup is very straightforward."
"The solution is able to read 90% of the documents correctly with a 10% error rate."
"The platform's Google Vision API is particularly valuable."
"The feedback left about these tools was really helpful and informative for us"
"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."
"Some of the valuable features are the vast amount of services that are available, such as load balancer, and the AI architecture."
"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."
"The framework of the solution is valuable."
"We use PyTorch libraries, which are working well. It's very easy."
"The product's initial setup phase is easy."
"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."
"PyTorch is developer-friendly, allowing developers to continuously create new projects."
"I like PyTorch's scalability."
"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."
"The tool is very user-friendly."
 

Cons

"The model management on Google Cloud AI Platform could be better."
"It could be more clear, and sometimes there are errors that I don't quite understand."
"The technical support from Google is not very fast. I think it is about a five out of ten even though they have courses online where I can learn a lot, if I really need support, I have to wait a very long 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."
"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."
"Improvements in text extraction accuracy and pricing adjustments would be helpful."
"The solution can be improved by simplifying the process to make your own models."
"PyTorch needs improvement in working on ARM-based chips. They have unified memory for GPU and RAM, however, current GPUs used for processing are slow."
"The product has breakdowns when we change the versions a lot."
"I would like to see better learning documents."
"I do not have any complaints."
"There is not enough documentation about some methods and parameters. It is sometimes difficult to find information."
"The product has certain shortcomings in the automation of machine learning."
"I've had issues with stability when I use a lot of data and try out different combinations of modeling techniques."
"On the production side of things, having more frameworks would be helpful."
 

Pricing and Cost Advice

"The licenses are cheap."
"For every thousand uses, it is about four and a half euros."
"The pricing is on the expensive side."
"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 price of the solution is competitive."
"It is free."
"PyTorch is open-sourced."
"PyTorch is an open-source solution."
"PyTorch is open source."
"It is free."
"The solution is affordable."
report
Use our free recommendation engine to learn which AI Development Platforms solutions are best for your needs.
837,501 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
15%
Manufacturing Company
11%
Financial Services Firm
10%
University
8%
Manufacturing Company
30%
Computer Software Company
10%
Healthcare Company
8%
Educational Organization
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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 experience regarding pricing and costs for Google Cloud AI Platform?
For the most part, the pricing is perfect sinceit grows with the use of my app. In some cases, they could be more specific about the pricing, especially for some AI features.
What is your primary use case for Google Cloud AI Platform?
I use Google Cloud AI Platform due to Firebase and the many APIs that are available with it.
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.
 

Overview

 

Sample Customers

Carousell
Information Not Available
Find out what your peers are saying about Google Cloud AI Platform vs. PyTorch and other solutions. Updated: January 2025.
837,501 professionals have used our research since 2012.