Google Vertex AI
A unified platform for building, deploying, and scaling machine learning models.
Foundation Models
130+
Training Time Reduction
Up to 80% with custom training
Notebooks
Managed JupyterLab environment
About Google Vertex AI
Vertex AI provides a comprehensive MLOps platform for managing the entire machine learning lifecycle. It offers both no-code tools like AutoML for automated model training and a notebook-based environment for custom model development. The platform includes a 'Model Garden' with access to over 130 foundation models from Google and third parties, including the Gemini family of models. It supports popular frameworks like TensorFlow, PyTorch, and scikit-learn, and integrates deeply with other Google Cloud services like BigQuery and Cloud Storage for seamless data pipelines. Vertex AI is designed to accelerate the development of both predictive and generative AI applications.
Core Features
Model Garden
Access to a wide range of foundation models, including Gemini, Imagen, and Codey.
Automl
Train high-quality custom models for various data types with minimal effort and ML expertise.
Mlops Tools
Vertex AI Pipelines, Model Registry, and Feature Store for end-to-end workflow management.
Custom Training
Provides full control over training jobs for users who want to write their own training code.
Use Cases
Generative Ai
Build applications for content generation, summarization, chat, and search.
Predictive Forecasting
Analyze historical data to predict future outcomes for demand, sales, and inventory.
Computer Vision
Develop models for image classification, object detection, and image segmentation.
Customer Churn Prediction
Identify customers who are likely to stop using a service.
Supported Frameworks
Deep Learning
TensorFlow, PyTorch, JAX
Classical Ml
scikit-learn, XGBoost
Data Processing
Spark