Introduction to Snowpark Container Services

Containers represent a contemporary method for packaging code in diverse languages, ensuring seamless portability and consistency across various environments. This is particularly true for advanced AI/ML models and comprehensive data-centric applications. These modern data products often handle vast volumes of proprietary data, presenting challenges in efficiently creating, developing, and scaling workloads.

Developers and data scientists often spend more time managing computing resources and clusters than addressing core business challenges. With its unique features, Snowpark Container Services offers a seamless solution to this problem. It allows applications and large language models (LLMs) to be executed on containers directly within the Snowflake Data Cloud, reducing the time and effort spent on resource management. This chapter will help you learn about deploying apps and LLMs on containers within Snowpark.

In this chapter, we...