At the Snowflake Summit 2023, Snowflake (the Data Cloud Company) and NVIDIA have announced they are partnering to allow customers from a vast variety of businesses to build AI models using their own data. This partnership was announced on Monday 26th June during the Snowflake Summit’s Fireside chat between Frank Slootman (CEO of Snowflake) and Jensen Huang (Founder and CEO of NVIDIA).
As a result of this partnership, customers and enterprises can use data in their Snowflake accounts to create custom LLMs. These LLMs are used for advanced generative AI services, all securely within the Snowflake Data Cloud. The AI services include chatbots, search and summarisation. Customising LLMs without moving data enables proprietary information to be secure within the Snowflake platform.
NVIDIA offers both its NVIDIA NeMo platform for developing Large Language Models (LLMs) and NVIDIA GPU-accelerated computing. Fusing this AI hardware with Snowflake’s vast amounts of proprietary and enterprise data is said to “bring high-performance machine learning and artificial intelligence” (Frank Slootman, CEO of Snowflake).
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What will the Snowflake and NVIDIA partnership do?
The integration of AI technology from Snowflake and NVIDIA will result in customers being able to easily build, deploy and manage customised applications. These applications allow the power of generative AI to be brought to all parts of their business. Additionally, the expansion of AI capabilities in the Snowflake Data Cloud will enable enterprises to create generative AI applications where their governed data already lives. This will reduce cost whilst ensuring the security of their data.
As of April 2023, the Snowflake Data Cloud had over 8,000 customers worldwide. With the new partnership, enterprises can integrate, analyse and share data across their platforms and with customers, partners, suppliers etc. The platform offers industry-specific Data Clouds which assist the delivery of innovative solutions for business. This includes for advertising, media and entertainment, financial services, healthcare and life sciences, media and entertainment and much more. The most recent release being Government and Education Data Cloud which permits data-driven choice making for the public sector.
