Bringing together industry-leading AI-powered applications, models and devices so customers can deliver enterprise AI to their businesses with ease, efficiency and confidence
SAN FRANCISCO, June 4, 2024–(BUSINESS WIRE)–Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced at Snowflake Summit 2024 a new collaboration with NVIDIA that customers and partners can leverage to build custom AI data applications on Snowflake, powered by NVIDIA AI.
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 various business data and provide highly accurate answers. 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 now also 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 in their teams, there is a growing need to apply data to drive personalization. Through Snowflake’s collaboration with NVIDIA, organizations can rapidly build use-case-specific AI solutions, enabling businesses across industries to realize the potential of enterprise AI.
“Pairing NVIDIA’s accelerated full-stack computing and software with Snowflake’s latest AI capabilities in Cortex AI is game-changing,” said Sridhar Ramaswamy, CEO, Snowflake. “Together, we’re 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 confidence.”
“Data is the essential raw material of the industrial AI revolution,” said Jensen Huang, founder and CEO of NVIDIA. “Together, NVIDIA and Snowflake will help enterprises refine their business data and transform it into valuable generative AI.”
Snowflake Cortex AI + NVIDIA AI Enterprise Software
Snowflake and NVIDIA are collaborating to integrate key technologies of the NVIDIA AI Enterprise software platform – such as NeMo Retriever – into Cortex AI so that business users can efficiently build and use custom AI-powered applications that maximize investment their in AI.
NVIDIA AI Enterprise software capabilities to be delivered on Cortex AI include:
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NVIDIA NeMo Retriever: It provides high-accuracy information retrieval and powerful performance for enterprises building AI applications based on augmented feedback generation within Cortex AI.
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NVIDIA Triton Inference Server: It provides the ability to deploy, run and scale AI inference for any application on any platform.
Additionally, NVIDIA NIM inference microservices—a set of pre-built AI containers and part of NVIDIA AI Enterprise—can be deployed directly within Snowflake as a native application powered by Snowpark Container Services. The application enables organizations to easily deploy a series of foundational models right within Snowflake.
Quantiphi, an AI-first digital engineering company and ‘Elite’ partner with Snowflake and NVIDIA, is one of many AI providers building Snowflake Native applications using Snowpark Container Services. These applications work within the customer’s Snowflake account to ensure data remains protected while providing faster time to value. Quantiphi native applications, baionic™ – a generative AI platform for increasing the productivity of knowledge workers and Dociphi – an intelligent AI-led document processing platform for the banking, financial services and insurance industries, aimed at specific business people to accelerate their industry use cases and day-to-day operations. Both Dociphi and bionic were developed using the NVIDIA NeMo framework and will be available in the Snowflake Marketplace for users to deploy without leaving their Snowflake environment.
Enhanced 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. Arctic NIM hosted by NVIDIA is live in the NVIDIA API catalog for developer access using free credits and will be offered as a downloadable NIM, giving users even more choices to deploy more open enterprise LLM available on their preferred infrastructure.
Earlier this year, Snowflake and NVIDIA announced an expansion of their initial collaboration to provide a single, unified AI infrastructure and computing platform on the AI Data Cloud. Today’s announcements represent key advances in Snowflake’s shared mission with NVIDIA to help customers succeed in their AI journeys.
Learn more:
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Tune into the Snowflake Summit 2024 Keynote live stream to hear about the latest in AI, applications and data collaboration, and watch Snowflake Dev Day on June 6, 2024 to see the latest innovations in action.
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Dig into how the world-renowned Snowflake AI Research team trained Snowflake Arctic in this blog.
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See how organizations are bringing AI and generative LLM to their enterprise data in this video.
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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 reliable. 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 artificial intelligence is here. Learn more at snowflake.com (NYSE: SNOW).
Forward-looking statements
This press release contains express and implied forward-looking statements, including statements about (i) Snowflake’s business strategy, (ii) Snowflake’s products, services and technology offerings, including those that are under development or that are not generally available, (iii) market growth, trends and competitive considerations, and (iv) the integration, interoperability and availability of Snowflake 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 Snowflake’s Quarterly Reports on Form 10-Q and Annual Reports on Form 10-K filed with the Securities and Exchange Commission valuable. In light of these risks, uncertainties and assumptions, actual results could differ materially and adversely from those anticipated or implied in 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 product, feature, and service names mentioned herein are trademarks or registered 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 trademarks of their respective holders. Snowflake may not be affiliated with or sponsored or endorsed by any such holder.
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