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Snowflake Concludes its Largest Data, Apps, and AI Event with New Innovations that Bring Generative AI to Customers’ Data and Enable Organizations to Build Apps at Scale

Snowflake

Snowflake, the Data Cloud company, last week concluded its fifth-annual Snowflake Summit conference and its largest data, apps, and AI event with nearly 12,000 in-person attendees live in Las Vegas, Nevada from June 26-29, and over 11,000 registered virtually. The four-day conference brought together customers, partners, technical experts, and executives from around the world as Snowflake unveiled new innovations that enable customers to bring generative AI to their data and build apps at scale — all within the secure and governed environment of the Data Cloud. Snowflake Summit also featured four marquee keynotes, 440+ total sessions spanning 11 different session tracks, 250+ customer speakers, 200+ ecosystem partners, 20+ hands-on labs, hundreds of SnowPro™ certifications achieved by conference goers, and more.

Snowflake Chairman and CEO, Frank Slootman, and NVIDIA’s Founder and CEO, Jensen Huang, kicked off the event on Monday, June 26 with a fireside chat discussing the impact AI, large language models (LLMs), and GPU-accelerated computing are having on every industry and business model. Snowflake and NVIDIA also unveiled that they are partnering to provide businesses of all sizes with an accelerated path to create customized generative AI applications using their own proprietary data, all securely within the Snowflake Data Cloud.

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This was followed by the Tuesday, June 27 Snowflake Summit Opening Keynote, which featured Slootman, Snowflake Co-Founder and President of Product, Benoit Dageville, Snowflake SVP of Product, Christian Kleinerman, and Snowflake SVP and Co-Founder of Neeva, Sridhar Ramaswamy, as they revealed the expanded capabilities and product innovations advancing the Data Cloud:

  • Snowpark Container ServicesSnowflake introduced Snowpark Containers Services, currently in private preview, enabling developers to deploy, manage, and scale generative AI, full-stack apps, and more — including configurable infrastructure options such as GPUs — all securely within Snowflake. Snowflake customers will also get access to an expansive set of third-party services including LLMs, Notebooks, MLOps tools, and more within their account.
  • Document AISnowflake launched a new Snowflake-developed LLM, currently in private preview, built from the recent acquisition of Applica and its pioneering generative AI technology, to help customers understand documents and extract insights from unstructured data without machine learning expertise.
  • Snowflake Performance IndexSnowflake regularly passes on savings to customers in the form of performance improvements. The new Snowflake Performance Index (SPI) provides increased transparency and metrics around Snowflake’s ongoing performance improvements, revealing that query duration has improved by 15 percent1 for stable customer workloads since Snowflake began tracking this metric over the last eight months — reinforcing how Snowflake continues to advance price per performance for customers.

SOURCE: Businesswire