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: Hearing from the Experts: AI Governance Best Practices

The rapid spread of artificial intelligence in the financial industry presents data teams with novel challenges. AI’s ability to harvest and utilize vast amounts of data has raised concerns about the privacy and security of sensitive proprietary data and the ethical and legal use of external information. Robust data governance frameworks provide the guardrails needed...

BLOG

New Data Partnership Approach Urged for Investors in SimCorp Report

Investment managers must take a fresh approach to data management, stressing trusted partnerships with outside expertise over traditional outsourcing models, as they seek to adapt to a rapidly changing economic landscape, a report has urged. The binary build-versus-buy strategy that has been the basis of innovation adoption for decades has been upended by advances in...

EVENT

TradingTech Summit London

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

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,...