Deutsche Bank in AI Partnership with NVIDIA: Risk Models, HPC and a 3D Virtual Avatar
December 7, 2022 by
At the Convergence of HPC, AI and Quantum
Sponsored Guest Articles
Why Tier 0 Is a Game-Changer for GPU Storage
[SPONSORED GUEST ARTICLE] In tech, you’re either forging new paths or stuck in traffic. Tier 0 doesn’t just clear the road — it builds the autobahn. It obliterates inefficiencies, crushes bottlenecks, and unleashes the true power of GPUs. The MLPerf1.0 benchmark has made one thing clear ….
White Papers
insideHPC Guide to Perfectly Tailored AI, ML or HPC Environment
In this insideHPC technology guide, “How Expert Design Engineering and a Building Block Approach Can Give You a Perfectly Tailored AI, ML or HPC Environment,”we will present things to consider when building a customized supercomputer-in-a-box system with the help of experts from Silicon Mechanics. When considering a large complex system, such as a high-performance computing […]
Featured From
Featured RSS Feed
- Instilling Foundational Trust in Agentic AI: Techniques and Best PracticesBy Dr. Eoghan Casey, Field CTO at Salesforce With artificial intelligence advancing and becoming increasingly autonomous, there is a growing shared responsibility in the way trust is built into the systems that operate AI. Providers are responsible for maintaining a trusted technology platform, while customers are responsible for maintaining the confidentiality and reliability of information […]
More News from insideAI News
- AI Inference: NVIDIA Reports Blackwell Surpasses 1000 TPS/User Barrier with Llama 4 Maverick
- Cloudera Releases AI-Powered Unified Data Visualization for On-Prem Environments
- Report: $15B OpenAI Data Center in Texas Will House up to 400,000 Blackwells
- NVIDIA Announces DGX Cloud Lepton for GPU Access across Multi-Cloud Platforms
- F5 Expands AI Collaboration with Red Hat
- DDN Teams With NVIDIA on AI Data Platform Reference Design
- Duos Edge AI Confirms EDC Deployment Goal in 2025
Copyright © 2025
The goal is to develop regulatory-compliant AI-powered services and support, for example, Deutsche Bank’s cloud transformation strategy by using AI and ML to simplify and accelerate cloud migration decisions.
The collaboration follows exploratory work in which the companies said they tested potential use cases with a focus on three in particular: risk model development, high-performance computing, and the creation of a branded virtual avatar.
Accelerated computing enables traders to manage risk and run more scenarios faster and at scale while also improving energy efficiency. Supported by NVIDIA’s AI, ML and accelerated compute knowledge, the partnership will enrich Deutsche Bank’s work in risk management, improve efficiency and enhance customer service.
To enable this work, Deutsche Bank plans to leverage NVIDIA AI Enterprise, an end-to-end software suite for streamlining AI development and deployment that can run in the cloud or in the data center. With this flexibility, Deutsche Bank’s AI developers, data scientists and IT professionals will be able to run NVIDIA AI workflows on-premises as well as on Google Cloud, Deutsche Bank’s public cloud provider.
Deutsche Bank is working to develop next-generation user experiences with NVIDIA Omniverse Enterprise, an open computing platform for building and operating metaverse applications, and AI models and services that makes it easier to build and customize lifelike virtual assistants and digital humans.
Extracting key information from unstructured data has long been a challenge for organizations, especially those in financial services. Existing large language models do not perform well on financial texts. Deutsche Bank and NVIDIA are testing a collection of large language models called Financial Transformers. These will run AI and ML models and achieve outcomes such as early warning signs on the counterparty of a financial transaction, faster data retrieval and identifying data-quality issues.
The innovation partnership is an integral part of Deutsche Bank’s ongoing technology transformation. Deutsche Bank will expand an internal AI center of excellence, accelerated through the partnership, to support the experimentation and development of AI and ML services and professional skills development. The center will also develop, foster and promote explainable and responsible AI to expand the understanding of model predictions in financial services applications, and exploration in the areas of AI and accelerated computing.
“AI, ML and data will be a game changer in banking, and our partnership with NVIDIA is further evidence that we are committed to redefining what is possible for our clients,” said Christian Sewing, CEO, Deutsche Bank.
“This partnership is a significant step forward in our AI and ML ambitions. It will help us take a leading position in the usage of these technologies in financial services,” added Bernd Leukert, Deutsche Bank’s Management Board Member responsible for Technology, Data and Innovation.
“Accelerated computing and AI are at a tipping point, and we’re bringing them to the world’s enterprises through the cloud,” said Jensen Huang, founder and CEO, NVIDIA. “Every aspect of future business will be supercharged with insight and intelligence running at the speed of light. Together with Deutsche Bank, we are modernizing and reimagining the way financial services are operated and delivered.”