About a-team Marketing Services

A-Team Insight Blogs

Snowflake Partnership Offers Access to Mistral AI Large Language Models

Subscribe to our newsletter

Snowflake has made a global partnership with Mistral AI, a provider of AI Large Language Model (LLM) solutions. The multi-year partnership, which includes a parallel investment in Mistral’s Series A from Snowflake Ventures, will give Snowflake customers access to Mistral AI’s newest and most powerful LLM, Mistral Large, which includes reasoning capacities, is proficient in code and mathematics, and is fluent in five languages – French, English, German, Spanish and Italian. It can also process hundreds of pages of documents in a single call.

In addition, Snowflake customers can gain access to Mixtral 8x7B, Mistral AI’s open source model, and Mistral 7B, Mistral AI’s first foundation model optimised for low latency with a low memory requirement and high throughput for its size. The models are available to customers in public preview as a part of Snowflake Cortex, Snowflake’s fully managed LLM and vector search service that enables organisations 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 customers, empowering every user to build cutting-edge, AI-powered apps with simplicity and scale,” says Sridhar Ramaswamy, CEO of Snowflake. “With Snowflake as the trusted data foundation, we’re transforming how enterprises harness the power of LLMs through Snowflake Cortex so they can cost-effectively address new AI use cases within the security and privacy boundaries of the Data Cloud.”

Arthur Mensch, CEO and co-founder of Mistral AI, adds: “With our models available in the Snowflake Data Cloud, we are able to further democratise AI so users can create more sophisticated AI apps that drive value at a global scale.”

Snowflake Cortex first announced support for industry-leading LLMs for specialised tasks such as sentiment analysis, translation, and summarisation, alongside foundation LLMs, starting with Meta AI’s Llama 2 model, for use cases including retrieval-augmented generation at Snowday 2023. The company is continuing to invest in generative AI efforts by partnering with Mistral AI and advancing the suite of foundation LLMs in Snowflake Cortex, providing organisations with a path to bring generative AI to every part of the 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. Users with SQL skills can leverage smaller LLMs to cost-effectively address specific tasks such as sentiment analysis, translation, and summarisation 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, which will be in public preview soon, within Streamlit in Snowflake.

View our full agenda and more details here.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The roles of cloud and managed services in optimising enterprise data management

Cloud and managed services go hand-in-hand when it comes to modern enterprise data management (EDM), but how can the best solutions for the business be selected and implemented to ensure optimal data management based on accurate, consistent, and high-quality data, and delivering improved efficiency, better decisions and competitive advantage? This webinar will answer these questions,...

BLOG

DTCC Pilot Aims to Further Automate Corporate Actions

DTCC is running a pilot scheme to further automate the corporate actions process. The pilot includes two phases and aims to streamline interactions across the agent and issuer community by standardising and automating the sourcing of corporate actions announcements. This should eliminate manual processes, provide cost savings, reduce processing lead time and mitigate risks. The...

EVENT

Buy AND Build: The Future of Capital Markets Technology, London

Buy AND Build: The Future of Capital Markets Technology London on September 19th at Marriott Hotel Canary Wharf London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Regulatory Data Handbook – Fourth Edition

Need to know all the essentials about the regulations impacting data management? Welcome to the Fourth edition of our A-Team Regulatory Data Handbook which provides all the essentials about regulations impacting data management. A-Team’s series of Regulatory Data Handbooks are a great way to see at-a-glance: All the regulations that are impacting data management today A...