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: End-to-End Lineage for Financial Services: The Missing Link for Both Compliance and AI Readiness

The importance of complete robust end-to-end data lineage in financial services and capital markets cannot be overstated. Without the ability to trace and verify data across its lifecycle, many critical workflows – from trade reconciliation to risk management – cannot be executed effectively. At the top of the list is regulatory compliance. Regulators demand a...

BLOG

A-Team Launches Inaugural AI in Data Management Summit New York City

Artificial intelligence-led applications offer financial institutions the potential to do more with their data at a time when increasingly complex economic and geopolitical influences place extraordinary operational pressures on them. The technology is now being applied to all parts of an organisation, from asset and risk management to customer relationship management and regulatory compliance. A...

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

Corporate Actions Europe 2010

The European corporate actions market could be the stage of some pretty heavy duty discussions regarding standards going forward, particularly with regards to the adoption of both XBRL tagging and ISO 20022 messaging. The region’s issuer community, for one, is not going to be easy to convince of the benefits of XBRL tags, given the...