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At a Glance
Market Segments
Small-Business (47.6% of reviews)
Small-Business (41.0% of reviews)
Entry-Level Pricing
No pricing available
Pay As You Go Per Month
Google Cloud AI Infrastructure
Star Rating
(43)4.5 out of 5
Market Segments
Small-Business (47.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Google Cloud AI InfrastructureVertex AI
Star Rating
(592)4.3 out of 5
Market Segments
Small-Business (41.0% of reviews)
Pros & Cons
Entry-Level Pricing
Pay As You Go Per Month
Free Trial is available
Learn more about Vertex AISummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Vertex AI excels in its AI Model Training Scalability with a score of 8.5, allowing for efficient handling of large datasets, while Google Cloud AI Infrastructure shines in AI High Availability with a score of 9.2, ensuring consistent uptime and reliability for critical applications.
- Reviewers mention that Vertex AI's Ease of Setup is rated at 8.2, making it relatively straightforward for small businesses to implement, whereas Google Cloud AI Infrastructure offers a superior Ease of Use score of 9.2, indicating a more user-friendly interface that enhances the overall user experience.
- G2 users highlight that Vertex AI provides robust Data Ingestion & Wrangling capabilities with a score of 8.3, which is crucial for preprocessing data, while Google Cloud AI Infrastructure's Monitoring features, rated at 8.5, allow for better oversight and management of AI models post-deployment.
- Users on G2 report that Vertex AI's Pre-Built Algorithms score of 8.4 is beneficial for users looking to quickly implement machine learning solutions, while Google Cloud AI Infrastructure's Cataloging feature, rated at 8.3, helps users efficiently manage and organize their AI models.
- Reviewers mention that Vertex AI's Scalability is rated at 8.9, which is particularly advantageous for growing businesses, while Google Cloud AI Infrastructure's AI Cost per API Call score of 8.0 indicates a more cost-effective solution for users concerned about budget constraints.
- Users say that Vertex AI's Language Support is rated at 8.5, making it versatile for various applications, while Google Cloud AI Infrastructure's AI Data Encryption score of 9.2 is a standout feature for users prioritizing security and compliance in their AI deployments.
Pricing
Entry-Level Pricing
Google Cloud AI Infrastructure
No pricing availableVertex AI
Try Vertex AI Free
Pay As You Go
Per Month
New customers get $300 in free credits to spend on Vertex AI.
- A unified UI for the entire ML workflow
- Pre-trained APIs for vision, video, natural language, and more
- End-to-end integration for data and AI
Free Trial
Google Cloud AI Infrastructure
No trial information availableVertex AI
Free Trial is available
Ratings
Meets Requirements
9.0
39
8.6
359
Ease of Use
9.0
41
8.2
368
Ease of Setup
9.0
36
8.1
291
Ease of Admin
9.0
12
7.9
141
Quality of Support
8.7
37
8.1
335
Has the product been a good partner in doing business?
9.2
12
8.2
135
Product Direction (% positive)
9.7
40
9.2
353
Features by Category
Deployment
Not enough data
8.3
73
Not enough data
8.1
74
Not enough data
8.3
74
Not enough data
8.3
70
Not enough data
8.8
70
Deployment
Not enough data
8.4
73
Not enough data
8.3
72
Not enough data
8.4
71
Not enough data
8.5
71
Not enough data
8.7
69
Management
Not enough data
8.3
70
Not enough data
8.5
69
Not enough data
8.0
69
Not enough data
8.1
69
Operations
Not enough data
8.2
69
Not enough data
8.4
70
Not enough data
8.3
70
Management
Not enough data
8.1
68
Not enough data
8.4
69
Not enough data
8.3
68
Generative AI
Not enough data
8.2
34
Not enough data
8.4
34
System
Not enough data
8.2
170
Model Development
Not enough data
8.4
202
Not enough data
7.9
179
Not enough data
8.4
200
Not enough data
8.5
202
Model Development
Not enough data
8.2
165
Machine/Deep Learning Services
Not enough data
8.2
200
Not enough data
8.4
196
Not enough data
8.2
195
Not enough data
8.2
178
Machine/Deep Learning Services
Not enough data
8.5
165
Not enough data
8.4
163
Deployment
Not enough data
8.2
193
Not enough data
8.3
194
Not enough data
8.5
193
Generative AI
Not enough data
8.3
102
Not enough data
8.2
102
Not enough data
8.1
103
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
8.1
34
Not enough data
7.8
34
Not enough data
7.7
34
Not enough data
7.8
34
Not enough data
8.4
34
Not enough data
7.8
34
Not enough data
7.9
34
Scalability and Performance - Generative AI Infrastructure
9.1
22
8.9
28
9.2
22
8.6
28
9.0
22
8.5
28
Cost and Efficiency - Generative AI Infrastructure
8.3
23
8.2
28
8.4
22
7.8
28
8.7
20
7.9
28
Integration and Extensibility - Generative AI Infrastructure
8.5
21
8.4
28
8.2
23
8.1
28
8.6
23
8.3
28
Security and Compliance - Generative AI Infrastructure
8.7
21
8.6
28
8.4
22
8.5
28
8.4
21
8.9
28
Usability and Support - Generative AI Infrastructure
8.4
21
8.2
28
8.5
21
8.3
28
Integration - Machine Learning
Not enough data
8.5
67
Learning - Machine Learning
Not enough data
8.5
66
Not enough data
8.3
65
Not enough data
8.8
66
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
8.9
23
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
22
Not enough data
8.9
22
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
22
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.2
22
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.0
22
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.2
22
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
22
Not enough data
8.7
21
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.0
21
Not enough data
8.8
21
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
8.7
21
Not enough data
9.0
21
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
22
Not enough data
8.9
22
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
8.9
22
Customization - AI Agent Builders
Not enough data
8.5
27
Not enough data
7.6
27
Not enough data
8.3
26
Functionality - AI Agent Builders
Not enough data
8.1
27
Not enough data
7.3
27
Not enough data
8.2
26
Not enough data
7.2
27
Data and Analytics - AI Agent Builders
Not enough data
7.7
25
Not enough data
7.9
27
Not enough data
8.0
27
Integration - AI Agent Builders
Not enough data
8.7
27
Not enough data
8.0
27
Not enough data
8.0
27
Not enough data
7.5
27
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Google Cloud AI Infrastructure and Vertex AI are categorized as Generative AI Infrastructure
Unique Categories
Google Cloud AI Infrastructure has no unique categories
Reviews
Reviewers' Company Size
Google Cloud AI Infrastructure
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Vertex AI
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
23.8%
Computer Software
16.7%
Consulting
4.8%
Marketing and Advertising
4.8%
Leisure, Travel & Tourism
4.8%
Other
45.2%
Computer Software
17.5%
Information Technology and Services
13.9%
Financial Services
7.0%
Retail
3.8%
Hospital & Health Care
3.4%
Other
54.4%
Alternatives
Discussions
Google Cloud AI Infrastructure has no discussions with answers
What is Google Cloud AI Platform used for?
2 Comments
KS
Google cloud AI Platform enables us to build Machine learning models, that works on any type and any size of data. Read more
What software libraries does cloud ML engine support?
2 Comments
JP
It's supporting approx all trending libraries.Read more
What is Google AI platform?
1 Comment
ZM
The Google AI Platform is a comprehensive set of tools and services provided by Google Cloud to develop, deploy, and manage artificial intelligence. It...Read more
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