Google Cloud General▌

about

Vertex AI is a fully-managed, unified AI development platform for building and using generative AI. Access and utilize Vertex AI Studio, Agent Builder, and 160+ foundation models. New customers get up to $300 in free credits to try Vertex AI and other Google Cloud products. Data scientists can move faster with Vertex AI Platform's tools for training, tuning, and deploying ML models. Vertex AI notebooks, including your choice of Colab Enterprise or Workbench, are natively integrated with BigQuery providing a single surface across all data and AI workloads. Vertex AI Training and Prediction help you reduce training time and deploy models to production easily with your choice of open source frameworks and optimized AI infrastructure. Vertex AI Platform provides purpose-built MLOps tools for data scientists and ML engineers to automate, standardize, and manage ML projects. Modular tools help you collaborate across teams and improve models throughout the entire development lifecycle—identify the best model for a use case with Vertex AI Evaluation, orchestrate workflows with Vertex AI Pipelines, manage any model with Model Registry, serve, share, and reuse ML features with Feature Store, and monitor models for input skew and drift. Built on top of Vertex AI Platform, Contact Center AI, Document AI, Anti Money Laundering AI, Discovery AI, and other AI solutions provide powerful and targeted capabilities to enable specific business results. Businesses can access, deploy, and use Google Cloud's AI solutions directly, or supported by one of our priority partners.

features & capabilities

• /Unified platform for ML models and generative AI.
• /Virtual machines running in Google's data center.
• /Managed environment for running containerized apps.
• /Tensor processing units for machine learning applications.
• /Object storage that's secure, durable and scaleable.
• /Fully managed database for MySQL, PostgreSQL, and SQL Server.
• /Data warehouse for business agility and insights.
• /Platform for BI, data applications, and embedded analytics.
• /Streaming analytics for stream and batch processing.
• /AI-assisted application development and coding.
• /Interactive shell environment with a built-in command line.
• /Fully managed environment for running containerized apps.
• /Event-driven compute platform for cloud services and apps.
• /Store, manage, and secure container images and language packages.
• /Solution for running build steps in a Docker container.
• /No-code development platform to build and extend applications.

industry focus