By MICHAEL CIRCLE
The Data Group News Service
Snowflake and NVIDIA announced a new collaboration Sunday to enable customers and partners to build customized AI data applications in Snowflake, powered by NVIDIA AI.
The companies are integrating key NVIDIA AI Enterprise software capabilities, like NeMo Retriever, into Snowflake's Cortex AI large language model and vector search service. This will allow organizations to connect custom AI models to their business data and deliver highly accurate responses.
Snowflake's state-of-the-art large language model Arctic is also now fully supported with NVIDIA's TensorRT-LLM software for optimized performance. Arctic is available as an NVIDIA inference microservice to give more developers access to its efficient intelligence.
As enterprises seek ways to unlock AI's potential across teams, there is increasing demand to apply data for customization. The Snowflake-NVIDIA collaboration aims to help businesses rapidly create tailored AI solutions for their use cases.
"Pairing NVIDIA's accelerated computing and software with Snowflake's AI capabilities in Cortex AI is game-changing," said Sridhar Ramaswamy, Snowflake's CEO. "Together, we are unlocking a new era of AI."
Jensen Huang, NVIDIA's founder and CEO, said "data is the essential raw material of the AI industrial revolution." The companies will help enterprises transform proprietary business data into "valuable generative AI."
AI provider Quantiphi plans to build Snowflake Native Apps, using jointly developed NVIDIA and Snowflake technologies, that run within customers' secure Snowflake environments.
The announcements advance Snowflake and NVIDIA's shared mission to help customers succeed with AI initiatives through a unified compute platform for AI data applications.
Learn more about Snowflake and NVIDIA by visiting Snowflake and NVIDIA Power Customized AI Applications for Customers and Partners - Snowflake.
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