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Snowflake and NVIDIA Expand Collaboration to Accelerate AI Productivity in Data Cloud

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Snowflake and NVIDIA have expanded an existing collaboration by bringing together the full stack of the NVIDIA accelerated compute platform with Snowflake’s Data Cloud data foundation and secure AI. The result, a combination of computing power and infrastructure designed to accelerate AI productivity.

The expansion builds on Snowflake and NVIDIA’s previously announced NVIDIA NeMo integration and means Snowflake customers will soon be able to use NVIDIA NeMo Retriever directly on their proprietary data in the Data Cloud while maintaining data security, privacy, and governance through Snowflake’s built-in capabilities.

NeMo Retriever enhances performance and scalability of chatbot applications and can accelerate time to value for enterprises building AI applications with Snowflake Cortex, Snowflake’s managed large language model (LLM) and vector search service. The expanded collaboration will also include the availability of NVIDIA TensorRT software to deliver low latency and high throughput for deep learning inference applications to enhance LLM-based search capabilities.

“Enterprise data is the foundation for custom AI applications that can generate intelligence and reveal new insights,” says Jensen Huang, founder and CEO at NVIDIA. “Bringing NVIDIA accelerated computing and software to Snowflake’s data platform can turbocharge enterprise AI adoption by helping customers build, deploy and manage secure generative AI applications.”

Snowflake CEO Sridhar Ramaswamy concurs, saying: “Our partnership with NVIDIA is delivering a secure, scalable and easy-to-use platform for trusted enterprise data. We take the complexity out of AI, empowering users of all types, regardless of their technical expertise, to quickly and easily realise the benefits of AI.”

NVIDIA accelerated compute already powers several Snowflake AI products, including Snowpark Container Services, Snowflake Cortex LLM functions, Snowflake Copilot and Document AI.

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