
Ebook
The Essential Guide to Cloud AI and Data Platforms
Learn how flexible storage for diverse data types, elastic computing power, built-in AI services, governance, and administration are needed to unlock your data’s full potential.
BUILD: The Dev Conference for AI & Apps (Nov. 4-6)
Hear the latest product announcements and push the limits of what can be built in the AI Data Cloud.
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Your Snowflake Team
Benefits
Save valuable time and money with a fully managed service that scales with your needs, automates platform management, and brings AI to your data. Constantly save on costs through automatic performance improvements and built-in cost management
Make the most of all your data, apps and models through Snowflake’s rich ecosystem, enabled by zero-ETL sharing and interoperability with open table formats like Apache Iceberg.
Join Snowflake customers, representing 38% of the Global 2000#, to power your most demanding workloads on Snowflake. Get unified security, governance and business continuity, plus disaster recovery across regions and clouds — all out of the box.
use cases
Data Agents
Unstructured Data Analytics
ML Workflows
Talk with your data
Get accurate answers to your business questions with an easy-to-use, intuitive interface.
Efficiently build data agents for document analysis, multimodal data processing and contextual information synthesis.
Gain deeper insights from enterprise data with AI
Process unstructured data easily, develop gen AI apps and optimize ML model workflows within one platform.
AI-powered insights, effortlessly scaled
Deliver insights at scale next to your data with Snowflake's AI services. Simplify development on a fully managed, serverless platform for diverse use cases.
Build trustworthy AI
Deploy gen AI applications in production within the trusted Snowflake perimeter. Easily apply security policies, access controls, usage tracking and observability for both data and AI.
Efficiently process text and multimodal data at scale
Streamline ML development and production
Develop, deploy and monitor ML features and models at scale with a fully integrated platform that brings together tools, workflows and compute infrastructure to the data.
Develop models faster with Notebooks using a container-based runtime that distributes data loading and model training on GPUs.
Serve models trained anywhere for inference with Snowflake Model Registry.
Resources
* Private preview, † Public preview, ‡ Coming soon