About a-team Marketing Services
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: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...

BLOG

Agentic AI, Data Readiness and Governance Shape AICMS London 2026

AI adoption in capital markets has entered a more exacting phase. The early cycle of pilots, productivity tools and isolated use cases is giving way to questions of operating model, governance, data architecture, control evidence and return on investment. A-Team Group’s AI in Capital Markets Summit London 2026 will examine that shift through a practical...

EVENT

Eagle Alpha Alternative Data Conference, London, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...