The Intersection of Containers, LLMs, GPUs, and Data Apps: A Competitive Landscape

1 min read
Source: The New Stack
The Intersection of Containers, LLMs, GPUs, and Data Apps: A Competitive Landscape
Photo: The New Stack
TL;DR Summary

Nvidia and Snowflake have showcased the potential of containers, large language models (LLMs), and GPUs in building services for an "AI Factory." Snowflake's Snowpark Container Service (SCS) allows the containerization of LLMs and offers Nvidia's GPUs and NeMO framework for generative AI models. SCS simplifies the deployment of software on Snowflake, reducing compliance and governance burdens. The integration of containers, LLMs, and GPUs in Snowflake's platform enables data processing and AI computations to be performed where the data resides, eliminating the need for data movement. This development signifies a shift for Snowflake from a data warehouse service provider to a platform for container services and native application development.

Share this article

Reading Insights

Total Reads

0

Unique Readers

1

Time Saved

7 min

vs 8 min read

Condensed

93%

1,521108 words

Want the full story? Read the original article

Read on The New Stack