Bringing together the industry's leading
AI-powered applications, models, and hardware so customers can
deliver enterprise AI across their businesses with ease,
efficiency, and trust
Snowflake (NYSE: SNOW), the AI Data Cloud company, today
announced at Snowflake Summit 2024 a new collaboration with NVIDIA
that customers and partners can harness to build customized AI data
applications in Snowflake, powered by NVIDIA AI.
This press release features multimedia. View
the full release here:
https://www.businesswire.com/news/home/20240603571544/en/
Snowflake and NVIDIA Power Customized AI
Applications for Customers and Partners (Graphic: Business
Wire)
With this latest collaboration, Snowflake has adopted NVIDIA AI
Enterprise software to integrate NeMo Retriever microservices into
Snowflake Cortex AI, Snowflake’s fully managed large language model
(LLM) and vector search service. This will enable organizations to
seamlessly connect custom models to diverse business data and
deliver highly accurate responses. In addition, Snowflake Arctic,
the most open, enterprise-grade LLM, is now fully supported with
NVIDIA TensorRT-LLM software, providing users with highly optimized
performance. Arctic is also now available as an NVIDIA NIM
inference microservice, allowing more developers to access Arctic’s
efficient intelligence.
As enterprises look for ways to further unlock the power of AI
across their teams, there’s an increasing need to apply data to
drive customization. Through Snowflake’s collaboration with NVIDIA,
organizations can rapidly create bespoke, use-case specific AI
solutions, enabling businesses across industries to realize the
potential of enterprise AI.
“Pairing NVIDIA’s full stack accelerated computing and software
with Snowflake’s state-of-the-art AI capabilities in Cortex AI is
game-changing,” said Sridhar Ramaswamy, CEO, Snowflake. “Together,
we are unlocking a new era of AI where customers from every
industry and every skill level can build custom AI applications on
their enterprise data with ease, efficiency, and trust.”
“Data is the essential raw material of the AI industrial
revolution,” said Jensen Huang, founder and CEO, NVIDIA. “Together,
NVIDIA and Snowflake will help enterprises refine their proprietary
business data and transform it into valuable generative AI.”
Snowflake Cortex AI + NVIDIA AI Enterprise Software
Snowflake and NVIDIA are collaborating to integrate the key
technologies of NVIDIA AI Enterprise software platform – such as
NeMo Retriever – into Cortex AI, so business users can efficiently
build and leverage bespoke AI-powered applications that maximize
their AI investments.
NVIDIA AI Enterprise software capabilities to be offered in
Cortex AI include:
- NVIDIA NeMo Retriever: Provides information
retrieval with high accuracy and powerful performance for
enterprises building retrieval-augmented generation-based AI
applications within Cortex AI.
- NVIDIA Triton Inference Server: Provides the
ability to deploy, run, and scale AI inference for any application
on any platform.
In addition, NVIDIA NIM inference microservices – a set of
pre-built AI containers and part of NVIDIA AI Enterprise – can be
deployed right within Snowflake as a native app powered by Snowpark
Container Services. The app enables organizations to easily deploy
a series of foundation models right within Snowflake.
Quantiphi, an AI-first digital engineering company, and 'Elite'
tier partner with both Snowflake and NVIDIA, is one of the many AI
providers building Snowflake Native Apps using Snowpark Container
Services. These apps run within a customer's Snowflake account to
help ensure data remains protected, while delivering faster
time-to-value. Quantiphi’s Native Apps, baioniq™ – a
generative AI platform for boosting knowledge worker productivity
and Dociphi – an AI-led intelligent document processing
platform for the banking, financial services, and insurance
industries, target specific business personas to accelerate their
industry use cases and day-to-day operations. Both Dociphi and
baioniq were developed using the NVIDIA NeMo framework and will be
available on Snowflake Marketplace for users to deploy without
leaving their Snowflake environment.
Expanded Support for Snowflake Arctic
The state-of-the-art Snowflake Arctic LLM, launched in April
2024 and trained on NVIDIA H100 Tensor Core GPUs, is available as
an NVIDIA NIM so users can get started with Arctic in seconds. The
Arctic NIM hosted by NVIDIA is live on the NVIDIA API catalog for
developer access using free credits, and will be offered as a
downloadable NIM, giving users even more choice to deploy the most
open enterprise LLM available on their preferred
infrastructure.
Earlier this year, Snowflake and NVIDIA announced an expansion
of their initial collaboration to deliver a single, unified AI
infrastructure and compute platform in the AI Data Cloud. Today’s
announcements represent key advancements in Snowflake’s shared
mission with NVIDIA to help customers succeed on their AI
journeys.
Learn More:
- Tune into the Snowflake Summit 2024 Keynote livestream to hear
about the latest in AI, apps, and data collaboration and check out
Snowflake Dev Day on June 6, 2024 to see the latest innovations in
action.
- Dig into how the world-renowned Snowflake AI Research team
trained Snowflake Arctic in this blog.
- See how organizations are bringing generative AI and LLMs to
their enterprise data in this video.
- Stay on top of the latest news and announcements from Snowflake
on LinkedIn and Twitter / X.
About Snowflake
Snowflake makes enterprise AI easy, efficient, and trusted.
Thousands of companies around the globe, including hundreds of the
world’s largest, use Snowflake’s AI Data Cloud to share data, build
AI and machine learning applications, and power their business. The
era of enterprise AI is here. Learn more at snowflake.com (NYSE:
SNOW).
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. As a
result, you should not rely on any forward-looking statements as
predictions of future events.
© 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).
View source
version on businesswire.com: https://www.businesswire.com/news/home/20240603571544/en/
Media Contacts Tom Hannigan Partner PR, Snowflake
press@snowflake.com
Snowflake (NYSE:SNOW)
Historical Stock Chart
From Jun 2024 to Jul 2024
Snowflake (NYSE:SNOW)
Historical Stock Chart
From Jul 2023 to Jul 2024