Snowflake Partners with Mistral AI to Bring Industry-Leading Language Models to Enterprises Through Snowflake Cortex
- Mistral AI’s newest and most powerful model, Mistral Large, is available in the Snowflake Data Cloud for customers to securely harness generative AI with their enterprise data
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Snowflake Ventures partners with Mistral AI to expand generative AI capabilities and empower more developers to seamlessly tap into the power of leading large language models - Snowflake Cortex LLM Functions, now in public preview, enables users to quickly, easily, and securely build generative AI apps
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With the new Mistral AI partnership, Snowflake customers gain access to Mistral AI’s newest and most powerful LLM, Mistral Large, with benchmarks making it one of the world’s top-performing models. Beyond the benchmarks, Mistral AI’s new flagship model has unique reasoning capacities, is proficient in code and mathematics, and is fluent in five languages — French, English, German, Spanish and Italian — in line with Mistral AI’s commitment to promoting cultural and linguistic specificities of generative AI technology. It can also process hundreds of pages of documents in a single call. In addition, Snowflake customers gain access to Mixtral 8x7B, Mistral AI’s open source model that exceeds OpenAI’s GPT3.5 in speed and quality on most benchmarks, alongside Mistral 7B, Mistral AI’s first foundation model optimized for low latency with a low memory requirement and high throughput for its size. Mistral AI’s models are now available to customers in public preview as a part of Snowflake Cortex, Snowflake’s fully managed LLM and vector search service that enables organizations to accelerate analytics and quickly build AI apps securely with their enterprise data.
“By partnering with Mistral AI, Snowflake is putting one of the most powerful LLMs on the market directly in the hands of our customers, empowering every user to build cutting-edge, AI-powered apps with simplicity and scale,” said
“Snowflake’s commitments to security, privacy, and governance align with Mistral AI’s ambition to put frontier AI in everyone’s hand and to be accessible everywhere. Mistral AI shares Snowflake’s values for developing efficient, helpful, and trustworthy AI models that advance how organizations around the world tap into generative AI,” said
Snowflake Cortex first announced support for industry-leading LLMs for specialized tasks such as sentiment analysis, translation, and summarization, alongside foundation LLMs — starting with Meta AI’s Llama 2 model — for use cases including retrieval-augmented generation (RAG) at Snowday 2023. Snowflake is continuing to invest in its generative AI efforts by partnering with Mistral AI and advancing the suite of foundation LLMs in Snowflake Cortex, providing organizations with an easy path to bring state-of-the-art generative AI to every part of their business. To deliver a serverless experience that makes AI accessible to a broad set of users, Snowflake Cortex eliminates the long-cycled procurement and complex management of GPU infrastructure by partnering with NVIDIA to deliver a full stack accelerated computing platform that leverages NVIDIA Triton Inference Server among other tools.
With Snowflake Cortex LLM Functions now in public preview, Snowflake users can leverage AI with their enterprise data to support a wide range of use cases. Using specialized functions, any user with SQL skills can leverage smaller LLMs to cost-effectively address specific tasks such as sentiment analysis, translation, and summarization in seconds. For more complex use cases, Python developers can go from concept to full-stack AI apps such as chatbots in minutes, combining the power of foundation LLMs — including Mistral AI’s LLMs in Snowflake Cortex — with chat elements, in public preview soon, within Streamlit in Snowflake. This streamlined experience also holds true for RAG with Snowflake’s integrated vector functions and vector data types, both in public preview soon, while ensuring the data never leaves Snowflake’s security and governance perimeter.
Snowflake is committed to furthering AI innovation not just for its customers and the Data Cloud ecosystem, but the wider technology community. As a result, Snowflake recently joined the
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Cloud Summit 2024,June 3-6, 2024 inSan Francisco , to get the latest on Snowflake’s AI innovations and upcoming announcements, here. - Learn how organizations are bringing generative AI and LLMs to their enterprise data in this video.
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Forward Looking Statements
This press release contains express and implied forward-looking statements, including statements regarding (i) Snowflake’s business strategy, (ii) Snowflake’s products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, and (iv) the integration, interoperability, and availability of Snowflake’s products with and on third-party platforms. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the
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About Snowflake
Snowflake enables every organization to mobilize their data with Snowflake’s Data Cloud. Customers use the Data Cloud to unite siloed data, discover and securely share data, power data applications, and execute diverse AI/ML and analytic workloads. Wherever data or users live, Snowflake delivers a single data experience that spans multiple clouds and geographies. Thousands of customers across many industries, including 691 of the 2023 Forbes Global 2000 (G2K) as of
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For Snowflake
Senior Product PR Lead, Snowflake
press@snowflake.com
For Mistral AI
avanweddingen@alvaconseil.com
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