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

Upcoming Webinar: Building a Semantic Layer for Your Enterprise Data Estate

Date: 8 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics...

BLOG

Private Markets Growth Exposes Asset Servicing’s Infrastructure Gap

By Toby Glaysher, Chairman, FINBOURNE. Asset servicers face a paradox: winning business in the industry’s fastest-growing segment whilst discovering that growth erodes rather than enhances profitability. Private markets represent both strategic opportunity and operational crisis, exposing fundamental limitations in infrastructure built for a different era. When growth creates problems The expansion into private credit, infrastructure...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...