Snowflake Announces Partnership and Investment in Mistral AI

Snowflake Partners with Mistral AI to Bring Powerful Language Models to Data Cloud Customers Snowflake has partnered with Mistral AI to bring its powerful language models directly to customers in the Data Cloud. This partnership includes an investment by Snowflake Ventures in Mistral's Series A funding round, with the aim of providing enterprises with the necessary tools to leverage large-scale language models while maintaining data security and governance. Through this collaboration, Snowflake's customers can utilize Mistral AI's flagship model, Mistral Large, which boasts top performance benchmarks and unique inference capabilities. This model is proficient in code, mathematics, and five languages, reflecting Mistral AI's commitment to promoting cultural and linguistic diversity in generative AI technology. Customers also have access to Mixtral 8x7B, an open-source model that surpasses OpenAI's GPT3.5 in terms of speed and quality, as well as Mistral 7B optimized for low latency and high throughput. Mistral AI's models are now available as part of the public preview of Snowflake Cortex, a fully managed LLM and vector search service that enables organizations to build AI applications with their enterprise data securely. Snowflake CEO Sridhar Ramaswamy emphasizes the transformative potential of this partnership, stating, "With Snowflake as the trusted data foundation, we are changing how enterprises harness the power of LLM through Snowflake Cortex, enabling them to economically and efficiently address new AI use cases within the security and privacy boundaries of the Data Cloud." Arthur Mensch, CEO and Co-founder of Mistral AI, also highlights the shared values of the two companies in terms of security, privacy, and governance. He states, "With the models we provide in the Snowflake Data Cloud, we can further democratize AI, allowing users to create more sophisticated AI applications and drive value on a global scale." Snowflake Cortex LLM functionality is now publicly available for preview, allowing users to leverage AI with their enterprise data for various use cases. With dedicated features, users proficient in SQL can economically and efficiently handle tasks such as sentiment analysis, translation, and summarization. Python developers can quickly build full-stack AI applications, such as chatbots, by combining the underlying LLM with chat elements in Streamlit within Snowflake. Through this collaboration, Snowflake aims to comprehensively and openly address the challenges and opportunities of generative AI, further advancing the democratization of its benefits.