Snowflake, the Data Cloud Company, announced at NVIDIA GTC an expanded collaboration with NVIDIA that further empowers enterprise customers with an Artificial Intelligence (AI) platform, bringing together the full-stack NVIDIA accelerated platform with the trusted data foundation and secure AI of Snowflake’s Data Cloud.
Together, the two tech leaders will deliver a secure and formidable combination of infrastructure and compute capabilities designed to unlock and accelerate AI productivity and fuel business transformations across every industry.
“Data is the fuel for AI, making it essential to establishing an effective AI strategy,” said Sridhar Ramaswamy, CEO at Snowflake. “Our partnership with NVIDIA is delivering a secure, scalable, and easy-to-use platform for trusted enterprise data. And we take the complexity out of AI, empowering users of all types, regardless of their technical expertise, to quickly and easily realise the benefits of AI.”
“Enterprise data is the foundation for custom AI applications that can generate intelligence and reveal new insights,” said Jensen Huang, Founder of and CEO at NVIDIA. “Bringing NVIDIA accelerated computing and software to Snowflake’s data platform can turbocharge enterprise AI adoption by helping customers build, deploy and manage secure generative AI applications.”
Expanding on the previously announced NVIDIA NeMo™ integration, customers of the premier Data Cloud Company will soon be able to utilise NVIDIA NeMo Retriever directly on their proprietary data in the Data Cloud, all while maintaining data security, privacy, and governance seamlessly through Snowflake’s built-in capabilities.
NeMo Retriever enhances the performance and scalability of chatbot applications and can accelerate time to value for the 400+ enterprises, already building AI applications with Snowflake Cortex (some features may be in preview), Snowflake’s fully managed large language model (LLM) and vector search service. The expanded collaboration will also include the availability of NVIDIA TensorRT™ software to deliver low latency and high throughput for deep learning inference applications to enhance LLM-based search capabilities.
NVIDIA: Powering Snowflake in More Ways Than One
NVIDIA accelerated compute powers several of Snowflake’s AI products, including Snowpark Container Services, as well as:
- Snowflake Cortex LLM Functions (public preview). With Cortex LLM Functions, users with SQL skills can leverage smaller LLMs to cost-effectively address specific tasks, including sentiment analysis, translation, and summarization in seconds. More advanced use cases include the development of AI applications in minutes using performant models from Mistral AI, Meta, and more.
- Snowflake Copilot (private preview). The LLM-powered assistant Snowflake Copilot brings generative AI to everyday coding tasks with natural language. Users can ask questions of their data in plain text, write SQL queries against relevant data sets, refine queries, and filter down insights, and more.
- Document AI (private preview). Document AI helps enterprises use LLMs to easily extract content like invoice amounts or contractual terms from documents and fine-tune results using a visual interface and natural language. Customers use Document AI to help their teams reduce manual errors and increase efficiencies with automated document processing.
Learn More
- Register for Snowflake Data Cloud Summit 2024, from the 3rd to the 6th of June 2024 in San Francisco, to get the latest on the company’s AI innovations and upcoming announcements here.
- Watch NVIDIA GTC on-demand sessions, including how to build chatbots with a RAG architectureor stop by in-person for how to leverage LLMs for life sciences.
- Learn how organisations are bringing generative AI and LLMs to their enterprise data in this video.
Archive
- October 2024(44)
- September 2024(94)
- August 2024(100)
- July 2024(99)
- June 2024(126)
- May 2024(155)
- April 2024(123)
- March 2024(112)
- February 2024(109)
- January 2024(95)
- December 2023(56)
- November 2023(86)
- October 2023(97)
- September 2023(89)
- August 2023(101)
- July 2023(104)
- June 2023(113)
- May 2023(103)
- April 2023(93)
- March 2023(129)
- February 2023(77)
- January 2023(91)
- December 2022(90)
- November 2022(125)
- October 2022(117)
- September 2022(137)
- August 2022(119)
- July 2022(99)
- June 2022(128)
- May 2022(112)
- April 2022(108)
- March 2022(121)
- February 2022(93)
- January 2022(110)
- December 2021(92)
- November 2021(107)
- October 2021(101)
- September 2021(81)
- August 2021(74)
- July 2021(78)
- June 2021(92)
- May 2021(67)
- April 2021(79)
- March 2021(79)
- February 2021(58)
- January 2021(55)
- December 2020(56)
- November 2020(59)
- October 2020(78)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(25)
- September 2019(24)
- August 2019(14)
- July 2019(23)
- June 2019(54)
- May 2019(82)
- April 2019(76)
- March 2019(71)
- February 2019(67)
- January 2019(75)
- December 2018(44)
- November 2018(47)
- October 2018(74)
- September 2018(54)
- August 2018(61)
- July 2018(72)
- June 2018(62)
- May 2018(62)
- April 2018(73)
- March 2018(76)
- February 2018(8)
- January 2018(7)
- December 2017(6)
- November 2017(8)
- October 2017(3)
- September 2017(4)
- August 2017(4)
- July 2017(2)
- June 2017(5)
- May 2017(6)
- April 2017(11)
- March 2017(8)
- February 2017(16)
- January 2017(10)
- December 2016(12)
- November 2016(20)
- October 2016(7)
- September 2016(102)
- August 2016(168)
- July 2016(141)
- June 2016(149)
- May 2016(117)
- April 2016(59)
- March 2016(85)
- February 2016(153)
- December 2015(150)