Snowflake and NVIDIA have teamed up to help enterprises create customised generative AI applications using their own proprietary data.
Leveraging the NVIDIA NeMo platform for developing large language models (LLMs) and NVIDIA GPU-accelerated computing, Snowflake will enable enterprises to use data in their Snowflake accounts to make custom LLMs for advanced generative AI services, including chatbots, search and summarisation. The ability to customise LLMs without moving data enables proprietary information to remain fully secured and governed within the Snowflake platform.
“Snowflake’s partnership with NVIDIA will bring high-performance machine learning and artificial intelligence to our vast volumes of proprietary and structured enterprise data, a new frontier to bringing unprecedented insights, predictions and prescriptions to the global world of business,” said Frank Slootman, Chairman and CEO of Snowflake.
“Together, NVIDIA and Snowflake will create an AI factory that helps enterprises turn their own valuable data into custom generative AI models to power groundbreaking new applications — right from the cloud platform that they use to run their businesses,” said Jensen Huang, Founder and CEO of NVIDIA.
NVIDIA and Snowflake’s collaboration will enable enterprises to use their proprietary data — which can range from hundreds of terabytes to petabytes of raw and curated business information — to create and fine-tune custom LLMs that power business-specific applications and services.
It will let businesses transform these industries by bringing customised generative AI applications to different verticals with the data cloud. For example, a healthcare insurance model can answer complex questions about procedures covered under various plans. A financial services model can share details about specific lending opportunities available to retail and business customers based on specific circumstances.
Entelechy Asia 