Vertex AI
Build, deploy, and scale machine learning models faster with a unified AI platform for every ML workflow.
Key Features
A unified platform for the entire machine learning workflow, from data preparation to model deployment and monitoring.
Build high-quality models with minimal ML expertise using automated machine learning tools.
Continuously monitor model performance and detect drift to ensure optimal results.
Platform Components
Data Preparation
Tools for data ingestion, transformation, and feature engineering to prepare your data for ML.
- Feature Store for centralized repository of ML features
- Data Labeling tools for supervised learning
- Automatic data validation and anomaly detection
Model Training
Flexible options for training machine learning models, from AutoML to custom training.
- AutoML for training high-quality models with minimal ML expertise
- Custom Training with full control over model architecture
- Distributed Training across multiple machines for faster results
Model Deployment
Deploy models to production with scalable, secure, and high-performance infrastructure.
- Online Prediction for low-latency, real-time applications
- Batch Prediction for processing large volumes of data
- Model Registry for versioning and managing models
Use Cases
Extract insights from documents using computer vision and natural language processing to automate document processing workflows.
Learn moreBuild intelligent chatbots, recommendation systems, and personalization engines to enhance customer interactions.
Learn moreForecast demand, optimize inventory, and detect anomalies in your supply chain to improve efficiency and reduce costs.
Learn morePricing
Flexible pricing options to fit your needs and budget.
- CPU: $0.10 per hour per CPU
- GPU: $2.00 per hour per GPU
- TPU: $4.50 per hour per TPU
- Free tier: 12 hours per month
- Online: $0.05 per 1,000 predictions
- Batch: $0.10 per node hour
- GPU: Additional $1.00 per hour per GPU
- Free tier: 1,000 predictions per month
- Training: $20.00 per hour
- Prediction: Same as standard prediction
- Data labeling: $0.10 per label
- Free tier: 1 hour of training per month
Additional charges apply for data storage, data processing, and network usage.
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