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Vertex AI

Google Cloud’s enterprise AI platform for accessing Gemini, Imagen, Veo, Gemma, embeddings, and broader MLOps tooling.

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  • Free plan available
  • No credit card
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What is Vertex AI?

Vertex AI is Google Cloud's managed platform for building, training, and deploying machine learning models. It provides access to Google's foundation models, including Gemini for text and reasoning tasks, Imagen for image generation, and Veo for video generation. The platform combines model access with MLOps tools, allowing teams to manage the full lifecycle of AI projects from experimentation through production deployment. You can use it via Vertex AI Studio for interactive work, Agent Builder for creating AI agents, or programmatically through APIs. It's designed for organisations that want to use enterprise-grade AI without managing underlying infrastructure.

Key features

Access to Google's foundation models

Gemini, Imagen, Veo, Gemma, and embeddings models

Vertex AI Studio

Low-code interface for testing and fine-tuning models

Agent Builder

Tools for creating and deploying AI agents with custom instructions

MLOps capabilities

Model training, evaluation, monitoring, and deployment workflows

Integration with Google Cloud ecosystem

Works with BigQuery, Cloud Storage, and other GCP services

Batch and real-time predictions

Support for different inference patterns

Pros & cons

Advantages

  • Direct access to Gemini and other capable Google models without separate vendor relationships
  • Full MLOps suite reduces need for separate tools when managing production models
  • Free tier available for experimentation and small-scale projects
  • Deep integration with other Google Cloud services for data pipelines

Limitations

  • Requires Google Cloud account setup and familiarity with GCP environment, which has learning overhead
  • Pricing for production use can increase significantly with scale, particularly for higher-tier models
  • Limited to Google's model ecosystem; less flexibility if you need specific third-party models

Use cases

Building customer service chatbots with Gemini and Agent Builder

Generating product images or marketing content with Imagen

Creating ML pipelines that combine model inference with data stored in BigQuery

Fine-tuning foundation models on proprietary company data

Batch processing large volumes of text or images for classification or analysis

Ready to try Vertex AI?

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Pricing

Free tier

Free

Limited monthly requests for Vertex AI Studio and selected models; sufficient for learning and testing

Pay-as-you-go

Variable by model and usage

Per-token or per-request pricing for API calls; per-hour compute for training jobs and deployments

Get started with Vertex AI

Click through to Vertex AI and start using it now.

Try Vertex AI free
  • Free plan available
  • No credit card