End Data Disparity initiative aims to improve quality data access and representation on a global scale to better support the United Nations’ 17 Sustainable Development Goals on climate, social and health issues

Dubai, UAE, 27 November 2024 — Snowflake, the AI Data Cloud company, today announced its ‘End Data Disparity’ initiative, which brings together global leaders from across industries, and the data capabilities and collective power of Snowflake’s ecosystem — including partners and customers — to help address and reduce disparities in data quality, availability and access. As part of the initiative, Snowflake has assembled an expert panel of data and technology experts from both public and private sectors, responsible for driving the initiative forward, by offering domain expertise and strategic guidance in addressing global data inequality.

Dubai, United Arab Emirates; November 13th 2024 – Snowflake, the AI Data Cloud company, today announced new AI features to its platform, enabling developers to effortlessly build conversational apps for structured and unstructured data with high accuracy, efficiently batch inference of large language models (LLM) for natural language processing (NLP) pipelines, and train custom models with GPU-powered containers — all with built-in governance, access controls, observability, and safety guardrails ensuring that AI security and trust remain at the forefront.

The launches make it easier for companies to deliver simple, effective and reliable AI solutions for all data, including structured and unstructured data.

Snowflake Teams Up with Meta to Host and Optimize New Flagship Model Family in Snowflake Cortex AISnowflake’s AI Research Team, in collaboration with the open source community, launches a Massive LLM Inference and Fine-Tuning System Stack — establishing a new state-of-the-art solution for open source inference and fine-tuning systems for multi-hundred billion parameter models like Llama 3.1 405B

July 25, 2024 – Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced that it will host the Llama 3.1 collection of multilingual open source large language models (LLMs) in Snowflake Cortex AI for enterprises to easily harness and build powerful AI applications at scale. This offering includes Meta’s largest and most powerful open source LLM, Llama 3.1 405B, with Snowflake developing and open sourcing the inference system stack to enable real-time, high-throughput inference and further democratize powerful natural language processing and generation applications. Snowflake’s industry-leading AI Research Team has optimized Llama 3.1 405B for both inference and fine-tuning, supporting a massive 128K context window from day one, while enabling real-time inference with up to 3x lower end-to-end latency and 1.4x higher throughput than existing open source solutions. Moreover, it allows for fine-tuning on the massive model using just a single GPU node — eliminating costs and complexity for developers and users — all within Cortex AI.

Snowflake Furthers Leadership as the Best Data Foundation for Enterprises

Customers now gain increased interoperability with open data, governed internal collaboration, and enhanced efficiency with new advancements to Snowflake’s leading platform

Dubai United Arab Emirates; June 07 2024 – Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced at its annual user conference, Snowflake Summit 2024, advancements to its single, unified platform that empower thousands of organizations with increased flexibility and interoperability across their enterprise data — regardless of where it resides.