AI is already driving revenue increases for financial institutions — and with new investments in AI infrastructure and development across Europe, the region’s financial services industry is poised to mint even greater value from the technology.
With sovereign AI models and agents built using AI factories, financial institutions and digital payment companies can extract powerful insights from their vast data sources to protect investments, detect fraud and offer personalized services to customers.
At the NVIDIA GTC Paris at VivaTech, one of Europe’s largest finance companies announced that it’s building an NVIDIA-powered AI factory to deploy sovereign AI for wide-ranging financial services.
Banks and online payment companies operating across the continent are harnessing NVIDIA AI and data science libraries to speed up data analysis for fraud detection and other applications. And the region’s AI platforms and service providers are helping banks and fintech companies accelerate their workflows with AI agents and models built on NVIDIA software libraries, models and blueprints.
European Bank Builds AI Factory to Develop and Scale Financial Services Applications
Across Europe, banks are building regional AI factories to enable the deployment of AI models for customer service, fraud detection, risk modeling and the automation of regulatory compliance.
In Germany, Finanz Informatik, the digital technology provider of the Savings Banks Finance Group, is scaling its on-premises AI factory and using NVIDIA AI Enterprise software for applications including an AI assistant to help its employees automate routine tasks and efficiently process the institution’s banking data.
Financial Services Companies Speed Data Science and Processing
Leading online payment and banking providers in Europe are tapping NVIDIA CUDA-X AI and data science libraries to accelerate financial data processing and analysis.
Amsterdam-based neobank bunq, which serves over 17 million users in the European Union, uses NVIDIA-accelerated XGBoost to boost fraud detection workflows.
The company’s AI-powered monitoring system is used to flag suspicious transactions that present risk of fraud or money laundering. Using NVIDIA GPUs running XGBoost and NVIDIA cuDF, bunq accelerated its model training by 100x and data processing by 5x.
The company is also using NVIDIA NIM microservices to implement and scale large language model-powered applications like its personal AI assistant, dubbed Finn. The bank uses NVIDIA NeMo Retriever, a collection of NIM microservices for extracting, embedding and reranking enterprise data so it can be semantically searched, which can help further improve Finn’s accuracy.
The recently launched NVIDIA AI Blueprint for financial fraud detection also includes XGBoost to support anomaly detection from financial data. The NVIDIA AI Blueprint is available for customers to run on Amazon Web Services and Hewlett Packard Enterprise, with availability coming soon on Dell Technologies. Customers can also adopt the blueprint through NVIDIA partners including Cloudera, EXL, Infosys and SHI International.
Checkout.com is a London-based fintech company providing digital payment solutions to enterprises around the world. The company, which operates in more than 55 countries and supports over 180 currencies, is speeding up data analysis pipelines from minutes to under 10 seconds using the NVIDIA cuDF accelerator for pandas — the go-to Python library for data handling and analysis.
Checkout.com is also exploring the use of NVIDIA cuML and the RAPIDS Accelerator for Apache Spark to further boost analysis of the company’s terabyte-scale data lake.
PayPal, based in the U.S., is another popular digital payment platform for European customers. The company used the RAPIDS Accelerator for Apache Spark to achieve a 70% cost reduction for Spark-based data pipelines running on NVIDIA accelerated computing.
Investment management firms are adopting GPU-accelerated optimization for capital allocation in dynamic markets. The NVIDIA cuFOLIO module, built on the NVIDIA cuOpt optimization engine, enables rapid portfolio adjustments that balance risk, return and investor preferences — turning time-consuming, CPU-bound workflows into scalable, real-time simulation engines.
AI Platforms, Solution Providers Offer NVIDIA-Accelerated Financial Services
European software companies and solution providers are integrating NVIDIA AI software to accelerate financial services workflows for their customers.
Dataiku, an AI platform company founded in Paris and based in New York City, announced at GTC Paris a new blueprint to help banking and insurance institutions deploy agentic AI systems at scale. The company is also integrating the NVIDIA Enterprise AI Factory validated design to accelerate AI development, and offers native integration of its LLM Mesh platform with NVIDIA NIM microservices.
KX, a financial modeling software company based in the U.K., launched an AI Banker Agent Blueprint at GTC Paris. Built with NVIDIA AI tools including the NVIDIA NeMo platform, Nemotron family of models and NIM microservices, the blueprint can be deployed by banks as an AI-powered research assistant, client relationship manager or personalized customer portfolio manager.
Temenos, a global provider of banking technology, uses NIM microservices to deploy its generative AI models to banks. The company’s generative AI solutions can be applied to use cases including credit scoring, fraud detection and customer service.
Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions.
