ACELERATED COMPUTING FOR TRADING

Faster processing results in successful trade execution and increased revenue. GPU-powered hardware acceleration decreases latency, allowing operations to remain competitive.

“Financial modeling for trading involves a considerable amount of expertise and time. The speed of NVIDIA-accelerated systems enables new design choices for a variety of models.” – How GPU-Accelerated Compute marks A New Era for Financial Trading technical brief

FRAUD DETECTION

The complexity of fraudulent activity, such as payment theft and money laundering, has evolved (the Red Queen hypothesis) as technology has advanced. Deep learning (DL) dramatically reduces false positives in transactional fraud.

With the availability of large volumes of customer data, such as raw transactions over time (RNN) and transaction summary vectors (RNN and CNN), firms can train AI neural networks like autoencoders and models to identify irregularities in transactional activity patterns.

“97% of all AML cases are false positives which takes up significant operations resources.” – Leveraging Deep learning To Build Safer Anti-Money Laundering Solutions Webinar

Also read the H20.ai and NVIDIA Joint Solution Brief

CONVERSATIONAL AI

Natural language processing is helping financial institutions to personalize their customer experience and increase engagement. NVIDIA GPUs, including Quadro RTX, enable real-time conversational AI by optimizing the training and inference performance of BERT, a popular NLP model.

“NVIDIA developers optimized the 110 million-parameter BERT-Base model for inference using NVIDIA TensorRT software. Running on NVIDIA T4 GPUs, the model was able to compute responses in just 2.2 milliseconds when tested on the Stanford Question Answering Dataset.” – What is conversational AI, NVIDIA Blog

AI IN FINANCE FROM DATA CENTER TO CLOUD

Unprecedented Acceleration at Every Scale

In today’s fast-paced and volatile markets, the ability to test and simulate model hypotheses with speed and accuracy can create revenue opportunities for financial institutions. NVIDIA Tensor Core equipped GPUs deliver acceleration at every scale for AI, data analytics, and high-performance computing (HPC) to tackle the toughest computing challenges in finance – from workstations to servers and the cloud.

POWERFUL COMPUTING FOR DATA CENTERS

Financial services customers require AI infrastructure that improves upon traditional approaches, which involved SLOW CPU-based architectures that siloed analytics, training, and inference workloads. This approach’s intrinsic complexity drives up costs, constrains the speed and scope of scalability, and isn’t ready for modern AI.

From at-the-edge to data center, Tensor Core NVIDIA GPUs, including Quadro RTX, are available from every major computer system and server manufacturer to accelerate AI training. And turnkey solutions like the NVIDIA-Powered Data Science Workstation, and reference designs like NVIDIA Quadro RTX Server, lead to NVIDIA’s DGX systems – a full suite of data science and data center solutions with CUDA-X AI at their core and a consistent, compatible, and scalable ecosystem of associated software development and deployment tools.

DEMOCRATIZATION – FROM DATA CENTER TO THE CLOUD

NVIDIA GPUs featuring Tensor Cores are available in all major cloud platforms worldwide. NVIDIA’s software libraries and software development kits (SDKs) create scalable solutions that enable companies to initiate development on the desktop with an eye to ultimate cloud deployment, on their servers, or at-the-edge. These SDKs include NVIDIA TensorRT for inference, Transfer Learning Toolkit for tuning deep neural networks (DNNs), and NGC for GPU-accelerated software containers. RAPIDS enables financial institutions to execute end-to-end data science and analytics pipelines on GPUs for better prediction accuracy. With GPU-accelerated data science, organizations can run an exhaustive array of simulations, testing the robustness of their models and creating new financial opportunities.

Only the U.S. Treasury is allowed to print money. The rest of us need to rely on NVIDIA GPUs with Tensor Cores and NVIDIA’s unmatched AI software development stack and ecosystem of 3rd party ISVs!