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Snowflake Announces Major AI, Interoperability, and Developer Advancements at Snowflake Summit 2024

Snowflake unveils AI, open data, and dev advancements at Summit 2024: NVIDIA collab, Polaris Catalog for Iceberg, Cortex AI upgrades, Snowflake ML, and more.

At its annual Snowflake Summit 2024 conference, Snowflake made several significant announcements advancing its offerings in AI, open data interoperability, and developer experience on its unified platform.

New Collaboration with NVIDIA for Customized Enterprise AI Applications

Snowflake is collaborating with NVIDIA to allow customers and partners to build customized AI data applications in Snowflake powered by NVIDIA AI. This includes:

  • Integrating NVIDIA AI Enterprise software like NeMo Retriever microservices into Snowflake Cortex AI for highly accurate applications

  • Full support for Snowflake Arctic large language model (LLM) with NVIDIA TensorRT-LLM software for optimized performance

  • Making Snowflake Arctic available as an NVIDIA NIM inference microservice for efficient intelligence

This allows enterprises to create bespoke AI solutions using their business data rapidly.

Polaris Catalog for Open Interoperability with Apache Iceberg

Snowflake unveiled Polaris Catalog, an open, vendor-neutral catalog implementation for Apache Iceberg that provides complete enterprise security and interoperability with AWS, Google Cloud, Microsoft Azure, Salesforce and more. Polaris Catalog can be hosted or self-hosted in Snowflake's AI Data Cloud. It relies on Iceberg's open REST protocol to allow any engine supporting the Iceberg REST API to find and access an organization's Iceberg tables.

New Cortex AI Innovations for Easy, Efficient, Trusted Enterprise AI

Snowflake announced several advancements to Snowflake Cortex AI:

  • New chat experiences Cortex Analyst and Cortex Search allow the development of custom chatbots in minutes against structured and unstructured data

  • Cortex Guard leverages Meta's Llama Guard to filter harmful content

  • Document AI extracts content from documents using Snowflake Arctic-TILT multimodal LLM

  • Snowflake Copilot combines Mistral Large with a proprietary model to accelerate SQL development

  • No-code Snowflake AI & ML Studio interface to develop and productize AI apps

  • Cortex Fine-Tuning for customization of Meta and Mistral AI models

Streamlined Model Development and Operations with Snowflake ML

Snowflake ML brings MLOps capabilities natively into the AI Data Cloud:

  • Model Registry to govern model access and use

  • Feature Store to create, manage, and serve ML features

  • ML Lineage to trace feature, dataset, and model usage

Open Data Interoperability and Collaboration

In addition to Polaris Catalog, Snowflake made its open data support and collaboration capabilities easier:

  • Iceberg Tables GA for using Snowflake's governance, performance on external Iceberg data

  • Internal Marketplace to curate data products for internal teams

  • Sharing of AI models, Iceberg Tables, Dynamic Tables

  • Universal Search to find content across Snowflake, external storage, 3rd parties

  • AI-powered object descriptions to aid data discovery

Enhanced Platform Performance and Efficiency

Snowflake continues to enhance core platform price/performance:

  • 27% reduction in query duration since tracking started, 12% in last 12 months

  • Up to 25% and 50% faster loading of JSON and Parquet data, respectively

  • Expansion to new regulated and DoD environments

Accelerated App and Model Development for Builders

Snowflake introduced new tools to speed the development of pipelines, models, and apps:

  • Snowflake Notebooks for single interface Python/SQL development

  • Snowpark pandas API for familiar pandas operations at Snowflake scale

  • Database Change Management and Git integration for declarative DevOps

  • Snowflake Trail observability for monitoring data quality and pipelines

  • Native App Framework integration with Snowpark Container Services for GPU-powered apps

These announcements demonstrate Snowflake's commitment to being the leading provider of a unified platform for enterprise AI, open data interoperability, and accelerated development. The company continues to rapidly innovate to help organizations extract maximum value from their data assets while maintaining strong governance and efficiency.


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