About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Snowflake and NVIDIA Offer Capability to Build Customised Generative AI Applications

Subscribe to our newsletter

Snowflake and NVIDIA have partnered to allow businesses to build customised generative AI applications using their own proprietary data within the Snowflake Data Cloud. The partnership is based on NVIDIA’s NeMo platform for developing large language models (LLMs) and GPU-accelerated computing and will enable enterprises to use data in their Snowflake accounts to build custom LLMs for advanced generative AI services, such as chatbots, search and summarisation, that can power business specific applications and services.

NVIDIA NeMo will run in the Snowflake data cloud and is a cloud-native enterprise platform for building, customising and deploying generative AI models with billions of parameters. The ability to customise LLMs without moving data enables proprietary information to remain secured and governed within the Snowflake platform.

“NVIDIA and Snowflake will create an AI factory that helps enterprises turn their own valuable data into custom generative AI models to power groundbreaking new applications – right from the cloud platform they use to run their businesses,” says Jensen Huang, founder and CEO at NVIDIA.

Frank Slootman, chairman and CEO at Snowflake, comments: “Snowflake’s partnership with NVIDIA will bring high performance machine learning and AI to our vast volumes of proprietary and structured enterprise data, a new frontier to bringing insights, predictions and prescriptions to the global world of business.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

S&P Global Market Intelligence Wins A-Team Group’s AI In Capital Markets Best AI Solution for Research Summarisation Award

S&P Global Market Intelligence’s flagship data and analytics platform has won A-Team Group’s AI in Capital Markets Award for Best AI Solution for Research Summarisation. Data Management Insight spoke to Daniel Kim, senior director, head of digital engagement, data and research at S&P Global Market Intelligence and discusses the AI capabilities of its S&P Capital...

EVENT

RegTech Summit New York

Now in its 9th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...