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Best Generative AI Infrastructure Software for Medium-Sized Businesses

Matthew Miller
MM
Researched and written by Matthew Miller

Products classified in the overall Generative AI Infrastructure category are similar in many regards and help companies of all sizes solve their business problems. However, medium-sized business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Medium-Sized Business Generative AI Infrastructure to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Medium-Sized Business Generative AI Infrastructure category.

In addition to qualifying for inclusion in the Generative AI Infrastructure Software category, to qualify for inclusion in the Medium-Sized Business Generative AI Infrastructure Software category, a product must have at least 10 reviews left by a reviewer from a medium-sized business.

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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3 Listings in Generative AI Infrastructure Available
(511)4.3 out of 5
2nd Easiest To Use in Generative AI Infrastructure software
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Entry Level Price:Pay As You Go
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and

    Users
    • Software Engineer
    • Data Scientist
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 38% Small-Business
    • 35% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Vertex AI Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    211
    Model Variety
    123
    Features
    121
    Machine Learning
    110
    Integrations
    85
    Cons
    Expensive
    59
    Performance Issues
    53
    Learning Curve
    50
    Complexity
    46
    Complexity Issues
    43
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,520,271 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    301,875 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and

Users
  • Software Engineer
  • Data Scientist
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 38% Small-Business
  • 35% Enterprise
Vertex AI Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
211
Model Variety
123
Features
121
Machine Learning
110
Integrations
85
Cons
Expensive
59
Performance Issues
53
Learning Curve
50
Complexity
46
Complexity Issues
43
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,520,271 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon Bedrock is a fully managed service that makes foundation models (FMs) from Amazon and other leading AI companies available through an API, so you can choose from various FMs to find the model t

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 48% Enterprise
    • 34% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • AWS Bedrock Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    13
    Model Variety
    10
    Features
    9
    Easy Integrations
    8
    Deployment Ease
    5
    Cons
    Expensive
    16
    Complexity Issues
    8
    Learning Curve
    5
    Model Issues
    5
    Limited Access
    4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,230,610 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    136,383 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from Amazon and other leading AI companies available through an API, so you can choose from various FMs to find the model t

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 48% Enterprise
  • 34% Mid-Market
AWS Bedrock Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
13
Model Variety
10
Features
9
Easy Integrations
8
Deployment Ease
5
Cons
Expensive
16
Complexity Issues
8
Learning Curve
5
Model Issues
5
Limited Access
4
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,230,610 Twitter followers
LinkedIn® Page
www.linkedin.com
136,383 employees on LinkedIn®
Ownership
NASDAQ: AMZN

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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Altair AI Studio (formerly RapidMiner Studio) is a data science tool that anyone can use to design and prototype highly explainable AI and machine learning models that help build trust throughout an o

    Users
    • Student
    • Data Scientist
    Industries
    • Higher Education
    • Education Management
    Market Segment
    • 43% Small-Business
    • 30% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Altair AI Studio Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    4
    Data Visualization
    3
    Intuitive
    3
    AI Capabilities
    2
    AI Technology
    2
    Cons
    Lacking Features
    2
    Missing Features
    2
    Accuracy Issues
    1
    Difficult Customization
    1
    Expensive
    1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Altair
    Company Website
    Year Founded
    1985
    HQ Location
    Troy, MI
    Twitter
    @Altair_Inc
    7,334 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,102 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Altair AI Studio (formerly RapidMiner Studio) is a data science tool that anyone can use to design and prototype highly explainable AI and machine learning models that help build trust throughout an o

Users
  • Student
  • Data Scientist
Industries
  • Higher Education
  • Education Management
Market Segment
  • 43% Small-Business
  • 30% Enterprise
Altair AI Studio Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
4
Data Visualization
3
Intuitive
3
AI Capabilities
2
AI Technology
2
Cons
Lacking Features
2
Missing Features
2
Accuracy Issues
1
Difficult Customization
1
Expensive
1
Seller Details
Seller
Altair
Company Website
Year Founded
1985
HQ Location
Troy, MI
Twitter
@Altair_Inc
7,334 Twitter followers
LinkedIn® Page
www.linkedin.com
4,102 employees on LinkedIn®