“Using Snowflake’s easy-to-use and secure platform for generative AI and machine learning, we continue to democratize AI to efficiently turn data into better customer experiences.”
Awinash Sinha
Corporate CIO, Zoom Communications
Snowflake for AI
Easily analyze your unstructured data, build data agents and create ML workflows using a comprehensive suite of AI services, all within the same secure and governed environment as your data.
Use cases
Turn data into intelligence with AI
Efficiently process text and multimodal data at scale
Analyze batch data within Snowflake’s secure perimeter
Streamline ML development and production
Accelerate end-to-end machine learning workflows
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.
Benefits
Insights from structured and unstructured data in one platform
Gain deeper insights from enterprise data with AI
Expedite AI innovation on a single platform
Process unstructured data easily, develop gen AI apps and optimize ML model workflows within one platform.
AI-powered insights, effortlessly scaled
Develop AI at scale, efficiently, alongside your data
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 AI confidently with unified governance and end-to-end
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.
Transportation
“The game-changer in Snowflake Cortex AI is its simplicity and ease of implementation. Our data already sits in Snowflake, so we can make use of the LLMs without needing to use anything external.”
Vishwa Ram
Vice President, Data Science and Analytics, Penske Logistics
- <15 days to build a new AI summarization model
Resources
Learn more about how to productionize AI with Snowflake
Get Started
Take the next stepwith Snowflake
Start your 30-day free Snowflake trial today
- $400 in free usage to start
- Immediate access to the AI Data Cloud
- Enable your most critical data workloads
SNOWFLAKE FOR AI
Frequently Asked Questions
The most common questions about Snowflake's AI features, including Cortex AI, Snowflake ML, model types and governance are answered here.
What models are available in Snowflake?
Snowflake offers a variety of AI models through Cortex AI and Snowpark ML. This includes Snowflake's own Arctic LLM, leading third-party LLMs (from Meta, Anthropic, Mistral, OpenAI, etc.), task-specific models (e.g., for translation, summarization,sentiment, document analysis), and capabilities to train and deploy traditional predictive ML models. Fine-tuning is also available for select models.
How does pricing work for your AI features?
Pricing for Snowflake's AI features, including those within Cortex AI and Snowpark ML, generally follows Snowflake's consumption-based model. Visit the official Snowflake Pricing Page and the Snowflake service consumption table for the most detailed and up-to-date information on credit consumption.
Where can I learn about how customers are using Snowflake’s AI features in production?
You can visit our Customer Stories page or Snowflake Blog to read about real-world AI and ML use cases implemented by customers across various industries. Download our customer ebook for more examples.
Do you offer capabilities in both gen AI and predictive ML?
Yes, Snowflake supports both. Cortex AI is a comprehensive platform that enables businesses to analyze unstructured data, build conversational agentic applications, and industry-leading large language models directly within Snowflake’s secure perimeter. Cortex AI enables users of all technical levels to gain real-time, trusted AI-driven insights easily and efficiently. Snowflake ML enables you to build, train and deploy traditional predictive ML models for forecasting, classification and more.
What are the governance capabilities to ensure data privacy for my gen AI use cases?
Snowflake offers robust governance via Snowflake Horizon Catalog, including Role-Based Access Control (RBAC), data masking, row-access policies, object tagging and audit logs. Features like Cortex Guard help filter model outputs. These help your data remain secure and private when using Cortex AI.
Check out our ebook on practical framework for securing AI systems.
What are the top enterprise use cases where generative AI is driving real return on investment (ROI)?
