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Vertex AI

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Ratings

G2
4.4/5
(419)
Glassdoor
3.5/5
(2)

Vertex AI description

Vertex AI is Google's cloud-based platform for building and using artificial intelligence. It provides tools for building AI models, even without coding experience, and connecting your data from various sources. Vertex AI makes it easier to deploy, manage, and scale your AI projects, helping you integrate AI into your business operations regardless of your current technical capabilities. It stands out by offering pre-trained models and a user-friendly interface for a smoother AI adoption experience.


Who is using Vertex AI?


Who is Vertex AI best for

Vertex AI empowers businesses of all sizes to leverage AI. Its user-friendly interface and pre-trained models simplify building and deploying AI, even without coding. Users praise AutoML for its ease of use and the platform's scalability for large datasets. However, some find the platform complex and expensive.

  • Ideal for small, medium, and large enterprises.

  • Strong fit for software, IT, and telecommunications; suitable for other sectors.


Vertex AI features

Supported

Vertex AI enables users to build, train, and deploy machine learning models using TensorFlow.

Supported

Vertex AI offers pre-trained models with the ability to fine-tune them for specific tasks. The platform also supports seamless deployment for these models.

Supported

Vertex AI enables deployment of models to the cloud in various configurations for real-time or batch predictions, as well as integration with other Google Cloud services.

Supported

Vertex AI simplifies model creation through AutoML, requiring minimal effort.

Supported

Vertex AI offers a user-friendly interface through the Google Cloud console and Vertex AI Studio.

Qualities

We evaluate the sentiment that users express about non-functional aspects of the software

Value and Pricing Transparency

Rather negative
-0.64

Customer Service

Neutral
+0.07

Ease of Use

Strongly positive
+0.75

Reliability and Performance

Neutral
+0.21

Ease of Implementation

Rather positive
+0.35

Scalability

Rather positive
+0.56

Vertex AI reviews

We've summarised 411 Vertex AI reviews (Vertex AI G2 reviews) and summarised the main points below.

Pros of Vertex AI
  • The AutoML feature is great for quickly building models without coding experience.
  • The platform scales well with large datasets, particularly when used with BigQuery.
  • Vertex AI simplifies the process of building and managing machine learning models.
  • Provides a comprehensive set of tools for an end-to-end machine learning workflow.
Cons of Vertex AI
  • Can be complex sometimes and users are unsure if it performs correctly
  • The platform can be difficult to navigate for new users and has a steep learning curve.
  • The cost can get high quickly, making it difficult to stay within budget.
  • Customer support is not as extensive as some other machine learning platforms.

Vertex AI pricing

The commentary is based on 65 reviews from Vertex AI G2 reviews.

Vertex AI's pricing is largely based on the same structure as its predecessors (AI Platform and AutoML), with some exceptions and cost optimization options. Key pricing elements include training the model, deploying it to an endpoint, and making predictions. Pricing varies based on data type (image, video, tabular, text) and operation (training, prediction, deployment). Vertex AI also offers specialized pricing for features like Generative AI, Forecast, custom-trained models, and various tools like Vizier, TensorBoard, and Model Monitoring.

Users sentiment

Rather negative
-0.61

See the Vertex AI pricing page.

  • Vertex AI has a free trial.

Image Data Training
$3.465 per node hour/hour

Training machine learning models using image data.

Image Data Deployment and Online Prediction
$1.375 per node hour/hour

Deploying and performing online predictions with image data models.

Image Data Batch Prediction
$2.222 per node hour/hour

Performing batch predictions with image data models.

Video Data Training
$3.234 per node hour/hour

Training machine learning models using video data.

Video Data Predictions
$0.462 per node hour/hour

Making predictions with video data models.

Tabular Data Training
$21.252 per node hour/hour

Training machine learning models using tabular data.

Tabular Data Prediction
Custom

Making predictions with tabular data models.

Text Data Training
$3.3 per hour/hour

Training machine learning models using text data.

Text Data Deployment
$0.05 per hour/hour

Deploying text data models.

Text Data Prediction
$5 per 1,000 text records/varies

Making predictions with text data models.


Vertex AI alternatives

  • Logo of Amazon SageMaker
    vertex-ai vs Amazon SageMaker
    Build, train, and deploy machine learning models easily.
    Read more
  • Logo of Azure Machine Learning
    Azure Machine Learning
    Build, train, and deploy machine learning models, code-free or with code.
    Read more
  • Logo of CentML
    CentML
    Optimize AI, reduce costs, boost performance.
    Read more
  • Logo of Together.ai
    Together.ai
    Open-source AI cloud platform for training and deploying large language models.
    Read more
  • Logo of AWS Bedrock
    AWS Bedrock
    Easily build generative AI apps with powerful pre-trained models.
    Read more
  • Logo of AWS Trainium
    AWS Trainium
    Custom machine learning chip for fast, cost-effective model training.
    Read more

Vertex AI FAQ

  • What is Vertex AI and what does Vertex AI do?

    Vertex AI is Google Cloud's unified machine learning platform. It streamlines the process of building, training, and deploying machine learning models, offering pre-trained models and AutoML for simplified model creation. Vertex AI caters to all skill levels, from beginners to experienced data scientists.

  • How does Vertex AI integrate with other tools?

    Vertex AI integrates seamlessly with other Google Cloud services, including BigQuery for data storage and Cloud Functions for serverless computing. It also supports TensorFlow and provides pre-trained models for simplified AI development. This streamlines workflows and enhances scalability for AI projects.

  • What the main competitors of Vertex AI?

    Top Vertex AI competitors include Amazon SageMaker, Qlik AutoML, and Red Hat OpenShift Data Science. Other alternatives such as MATLAB, SAS Visual Data Mining and Machine Learning, and Aporia offer similar functionalities for various data science and machine learning tasks.

  • Is Vertex AI legit?

    Yes, Vertex AI is a legitimate and safe platform backed by Google. It offers robust tools for building and deploying AI models, even for users with limited coding experience. However, some users find the platform complex and expensive.

  • How much does Vertex AI cost?

    Vertex AI pricing is "pay as you go" based on the resources consumed. There is no pricing information available on the product page for specific product plans or add-ons. Therefore, it's challenging to determine whether Vertex AI product pricing is worth it without more details.

  • Is Vertex AI customer service good?

    Vertex AI customer support receives mixed reviews. While some users praise the helpfulness of the support team, particularly with API integration, others find it lacking compared to other platforms, especially for complex issues and timely resolutions.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

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