NVIDIA Partners in Financial Services

Financial institutions face high computing costs and the need for efficient, real-time risk management and pricing. Murex’s MX.3 platform supports financial institutions with comprehensive risk management and trading solutions across asset classes. Murex’s solutions on NVIDIA’s accelerated computing platform enhance performance and energy efficiency for financial institutions, providing faster, cost-effective analytics for pricing and risk in capital markets.

The financial services industry faces challenges with real-time data processing and decision-making due to the growing complexity of AI algorithms and the need for expansive structured datasets. Together, the NVIDIA and KX platforms enable firms to process vast amounts of real-time and historical data with high speed and accuracy, allowing for effective backtesting, quantitative research, and real-time visibility into market conditions.

Identifying portfolio risk, credit exposure, and trade costs requires real-time insights from billions of daily transactions. To combat financial crimes, organizations need solutions that detect patterns and adapt instantly. Kinetica’s high-performance database leverages NVIDIA GPUs and modern CPUs to process massive data streams, enabling instant insights, anomaly detection, and informed decisions to boost revenue while ensuring compliance.

Fraud and money laundering are the biggest problems financial institutions face every year. They can lead to millions of dollars in losses, poor customer experiences, and hefty fines. This makes it critical to invest in AI models and the right hardware and software architectures. For anti-money laundering, financial institutions use terabyte-scale datasets in the form of tabular and graph data to train complex deep learning models like generative adversarial networks (GANs).

With its proprietary machine learning technology, Riskfuel can accurately approximate the quantitative models used to price and calculate the risk sensitivities of any financial instrument.  

Riskfuel’s solution facilitates risk scenario generation fast enough for banks and financial institutions to conduct real-time and intra-day analysis. This helps drive efficiency in front-office trade pricing, hedging, and market and counterparty credit risk evaluation.

Dell Technologies enables AI solutions for security, modernization, and growth across the financial services industry, both on premises and in the hybrid cloud. Together, Dell Technologies and NVIDIA accelerate AI workloads and enable high-performance computing (HPC), delivering engineering-validated hardware and software that meet customer needs across financial services.

HPE and NVIDIA’s joint full-stack, AI-native architecture delivers AI solutions to enable financial institutions to accelerate AI model development. AI-powered solutions will accelerate traders, bankers, and payment companies with use cases that include fraud detection, customer service, document processing, and more.

With Deloitte’s integrated services and solutions across trading, banking, and payments, firms can embrace human-centered capitalism. The alliance with Deloitte and NVIDIA helps financial institutions access market-leading accelerated computing power and create deep learning models that can deliver new capabilities, value, and a competitive advantage. Key AI use cases across financial services include fraud detection in banking and algorithmic trading in capital markets.

Quantiphi uses deep learning, statistical machine learning, and data solutions to accelerate performance for financial services use cases such as fraud detection, document processing, and the customer experience for trading, banking, and payments.