- 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
- 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
Snowflake (NYSE: SNOW), the Data Cloud company, and Mistral AI,
one of Europe’s leading providers of AI solutions, today announced
a global partnership to bring Mistral AI’s most powerful language
models directly to Snowflake customers in the Data Cloud. Through
this multi-year partnership, which includes a parallel investment
in Mistral’s Series A from Snowflake Ventures, Mistral AI and
Snowflake will deliver the capabilities enterprises need to
seamlessly tap into the power of large language models (LLMs),
while maintaining security, privacy, and governance over their most
valuable asset — their data.
This press release features multimedia. View
the full release here:
https://www.businesswire.com/news/home/20240305158817/en/
Snowflake Partners with Mistral AI to
Bring Industry-Leading Language Models to Enterprises Through
Snowflake Cortex (Graphic: Business Wire)
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 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.”
“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 Arthur Mensch, CEO and co-founder of Mistral AI. “With
our models available in the Snowflake Data Cloud, we are able to
further democratize 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 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 AI
Alliance, an international community of developers, researchers,
and organizations dedicated to promoting open, safe, and
responsible AI. Through the AI Alliance, Snowflake will continue to
comprehensively and openly address both the challenges and
opportunities of generative AI in order to further democratize its
benefits.
Learn More:
- Register for Snowflake Data Cloud Summit 2024, June 3-6, 2024
in San 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.
- Dig into how all users can harness the power of generative AI
and LLMs within seconds through Snowflake Cortex.
- Stay on top of the latest news and announcements from Snowflake
on LinkedIn and Twitter.
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 Securities and Exchange Commission. In
light of these risks, uncertainties, and assumptions, actual
results could differ materially and adversely from those
anticipated or implied in the forward-looking statements. These
statements speak only as of the date the statements are first made
and are based on information available to us at the time those
statements are made and/or management's good faith belief as of
that time. Except as required by law, Snowflake undertakes no
obligation, and does not intend, to update the statements in this
press release. As a result, you should not rely on any
forward-looking statements as predictions of future events.
Any future product information in this press release is intended
to outline general product direction. This information is not a
commitment, promise, or legal obligation for us to deliver any
future products, features, or functionality; and is not intended to
be, and shall not be deemed to be, incorporated into any contract.
The actual timing of any product, feature, or functionality that is
ultimately made available may be different from what is presented
in this press release.
© 2024 Snowflake Inc. All rights reserved. Snowflake, the
Snowflake logo, and all other Snowflake product, feature and
service names mentioned herein are registered trademarks or
trademarks of Snowflake Inc. in the United States and other
countries. All other brand names or logos mentioned or used herein
are for identification purposes only and may be the trademarks of
their respective holder(s). Snowflake may not be associated with,
or be sponsored or endorsed by, any such holder(s).
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 January 31, 2024, use Snowflake Data Cloud
to power their businesses. Learn more at snowflake.com.
View source
version on businesswire.com: https://www.businesswire.com/news/home/20240305158817/en/
For Snowflake Kaitlyn
Hopkins Senior Product PR Lead, Snowflake press@snowflake.com
For Mistral AI Alexandra van
Weddingen Alva Conseil avanweddingen@alvaconseil.com
Snowflake (NYSE:SNOW)
Graphique Historique de l'Action
De Mar 2024 à Avr 2024
Snowflake (NYSE:SNOW)
Graphique Historique de l'Action
De Avr 2023 à Avr 2024
