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Thursday · June 4, 2026 · Issue No. 885

What does it do?

  • Machine Learning Platform
  • Model Training
  • Model Deployment
  • Model Evaluation
  • Model Tuning
See more

How is it used?

  • Access Vertex AI via Google Cloud Console to deploy and manage models.
  • 1. Access web app
  • 2. Select model
  • 3. Train w/ own data
  • 4. Monitor performance
See more

Who is it good for?

  • AI Researchers
  • Machine Learning Engineers
  • Data Scientists
  • Business Analysts
  • Software Developers

What does it cost?

  • Pricing model : Unknown

Details & Features

  • Made By

    Google
  • Released On

    2010-10-24

Vertex AI is a comprehensive machine learning platform provided by Google Cloud that enables developers and data scientists to build, deploy, and scale machine learning models efficiently. It offers a suite of tools and services designed to streamline the entire machine learning workflow, from data preparation to model training and deployment.

Key features:
- Foundation Models: Access to a variety of pre-trained models for text generation, image recognition, and other applications, customizable for specific use cases.
- Custom Model Training: Capability to train custom models using proprietary data on Google's infrastructure.
- Pre-trained Models: Library of ready-to-use models for common tasks such as image classification, object detection, and natural language processing.
- Model Evaluation and Tuning: Tools for assessing model performance and optimizing hyperparameters.

How it works:
1. Users access Vertex AI through the Google Cloud Console.
2. They select and deploy models from a list of foundation models or train custom models using their own datasets.
3. The platform provides tools for monitoring model performance, managing versions, and handling scaling.

Integrations:
BigQuery, Google Cloud Storage, TensorFlow, Kubeflow

Use of AI:
Vertex AI incorporates generative AI through its foundation models, which are built on large language models and other advanced AI technologies. These models are designed to handle a wide range of tasks and are regularly updated to reflect the latest advancements in AI research.

AI foundation model:
The platform offers a variety of foundation models that have been fine-tuned for different applications. These models are available at various price points and can be customized for specific use cases.

Target users:
- Data scientists requiring a robust platform for building and deploying machine learning models
- Developers seeking to integrate AI capabilities into their applications
- Businesses needing scalable AI solutions for various use cases, including customer service automation and predictive analytics

How to access:
Vertex AI is accessible as a web application through the Google Cloud Console. It also provides APIs and SDKs for integration into custom applications.

  • Supported ecosystems
    Google, Google, Android, iOS, Apple, Apple, iOS, Google, Android
  • What does it do?
    Machine Learning Platform, Model Training, Model Deployment, Model Evaluation, Model Tuning, Image Classification, Object Detection, Natural Language Processing, Text Generation, Image Synthesis
  • Who is it good for?
    AI Researchers, Machine Learning Engineers, Data Scientists, Business Analysts, Software Developers

PRICING

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Pricing model: Unknown

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