Snowflake, Nvidia partner to enable generative AI app development in the Snowflake Data Cloud

3 min read Snowflake and Nvidia have partnered to provide businesses a platform to create customized generative artificial intelligence (AI) applications within the Snowflake Data Cloud using a business’s proprietary data. The announcement came today at the Snowflake Summit 2023. June 27, 2023 10:39 Snowflake, Nvidia partner to enable generative AI app development in the Snowflake Data Cloud

Snowflake and Nvidia have partnered to provide businesses a platform to create customized generative artificial intelligence (AI) applications within the Snowflake Data Cloud using a business’s proprietary data. The announcement came today at the Snowflake Summit 2023.


Integrating Nvidia’s NeMo platform for large language models (LLMs) and its GPU-accelerated computing with Snowflake’s capabilities will enable enterprises to harness their data in Snowflake accounts to develop LLMs for advanced generative AI services such as chatbots, search and summarization.

Manuvir Das, Nvidia’s head of enterprise computing, told VentureBeat that this partnership distinguishes itself from others by enabling customers to customize their generative AI models over the cloud to meet their specific enterprise needs. They can “work with their proprietary data to build … leading-edge generative AI applications without moving them out of the secure Data Cloud environment. This will reduce costs and latency while maintaining data security.”


Jensen Huang, founder and CEO of Nvidia, emphasized the importance of data in developing generative AI applications that understand each company’s unique operations and voice. 


“Together, Nvidia and Snowflake will create an AI factory that helps enterprises turn their valuable data into custom generative AI models to power groundbreaking new applications — right from the cloud platform that they use to run their businesses,” Huang said in a written statement.


According to Nvidia, the collaboration will provide enterprises with new opportunities to utilize their proprietary data, which can range from hundreds of terabytes to petabytes of raw and curated business information. They can use this data to create and refine custom LLMs, enabling business-specific applications and service development.

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