
Securely build and deploy LLMs and ML models.
No AI expertise or integrations needed. Access insights via Snowsight using pre-built UIs or SQL / Python queries.
Deliver innovation faster with scalable infrastructure and AI stack primitives. Build quick apps in minutes, or go fully custom in hours.
Safeguard your IP from unintended use with a robust security foundation and role-based access definitions on data, models and apps in Snowflake.
Quickly and securely analyze your data and build AI applications using Snowflake Cortex (in private preview), an intelligent, fully managed service that serves industry-leading LLMs and vector functions.
With Snowpark ML (in public preview), you can quickly build features, train models and deploy them into production—all using familiar Python syntax and without having to move or copy data outside its governance boundary. Snowpark Model Registry (in private preview) makes it easy to manage and govern your models at scale.
Effortlessly deploy, manage and scale containerized models and fine-tune open-source LLMs using secure, Snowflake-managed infrastructure with GPUs—all within the boundary of your Snowflake account.
Bridge the gap between AI and business value by using Streamlit’s rich, open-source library to quickly build apps with Python. Deploy and share these apps in just a couple clicks, leveraging the scale, performance and security of the Snowflake platform.
“With Snowpark, the benefits of being able to run data science tasks, such as feature engineering, directly where the data sits, is massive. It’s made our work a lot more efficient and a lot more enjoyable.”
Rebecca Vickery
Data Science Lead, EDF
More products delivered per year
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