Financial Service Developer Resources

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background-size: cover; min-height: 370px;"> <div class="cntnr--cw"> <div class="row"> <div class="col-lg-6 col-md-6 col-sm-7 col-xs-12 "> <div class="hero-lockup"> <h1 class="h--large">Developer Resources For Financial Services </h1> <p class="p--large">A hub of news, SDKs, technical resources, and more for developers working in the financial services industry.</p> </div> </div> </div> </div> </div> <style> .hero-image { background-image: url(https://developer.download.nvidia.com/images/industry-finance-dz-hero-sm-d@2x.jpg); padding-top: 45px; padding-bottom: 60px; /* background-position: left bottom 60%; */ background-repeat: no-repeat !important; background-size: 2480px 291px; /* background-size: contain; */ background-position-x: 0px; background-position-y: 30%; background-color: #f7f7f7; } @media only screen and (max-width:3600px) and (min-width:3276px) { .hero-image { background-image: url(https://developer.download.nvidia.com/images/industry-finance-dz-hero-sm-d@2x.jpg); background-position-x: 0px !important; 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/* background-position: center top; */ } .hero-lockup{ width: 99%; margin-top: 0px; margin-left: 0px; } } </style> <style> .cta--padding-top{ padding-top: 15px !important; } .cta-padding{ padding-top: 15px !important; } </style>  <section class="sct--m"> <div class="cntnr--narrow txt-cntr"> <h2 class="h--medium">Build With NVIDIA AI Enterprise</h2> <p class="p--large">NVIDIA AI Enterprise is an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines development and deployment of production-grade AI applications, including generative AI. Explore the tools that it offers for financial services.</p> </div> </section> <section class="sct--m sct--lt-gry2"> <div class="cntnr--cw txt-cntr"> <h2 class="h--medium">Tools to Build Applications in Financial Services</h2> </div> <div class="cntnr--cw"> <div class="row"> <div class="col-md-6"> <img src="https://developer.download.nvidia.com/images/nim-mircoservices.jpg" alt="A collage images related to NVIDIA NIM, a set of generative AI microservices for developers" title="A collage images related to NVIDIA NIM, a set of generative AI microservices for developers"> <h4 class="h--smallest">NVIDIA NIM</h4> <p> NVIDIA NIM, part of NVIDIA AI Enterprise, is a set of easy-to-use microservices designed to accelerate the deployment of generative AI models across the cloud, data center, and workstations. <br><br> Built on robust foundations, including inference engines like <a href="/nvidia-triton-inference-server">NVIDIA Triton™ Inference Server</a>, <a href="/tensorrt">NVIDIA® TensorRT™</a>, NVIDIA TensorRT-LLM, and PyTorch, NIM is engineered to facilitate seamless AI inferencing at scale. </p> <a class="cta--tert cta--padding-top" href="https://build.nvidia.com/explore/discover" target="_blank">Get Started<span class="fas fa-angle-right fa-fw"></span></a> </div> <div class="col-md-6"> <img src="https://developer.download.nvidia.com/images/financial-services-fraud-detection.jpeg" alt="An image of a fraud detection alert on a mobile phone" title="An image of a fraud detection alert on a mobile phone"> <h4 class="h--smallest">NVIDIA AI Workflow for Fraud Detection</h4> <p>With NVIDIA’s fraud detection AI workflow, enterprises can enhance their fraud detection capabilities using deep learning techniques, including graph neural networks (GNNs), allowing for real-time analysis and improved accuracy. <br><br> This workflow contains a reference solution for the credit card fraud detection use case. It includes the model-building process, leveraging GNN training to produce features to be fed into an XGBoost model for training. </p> <a class="cta--tert cta--padding-top" target="_blank" href="https://www.nvidia.com/en-us/ai-data-science/ai-workflows/fraud-detection/" >Get Started<span class="fas fa-angle-right fa-fw"></span></a> </div> </div> </div> <div class="cntnr--cw txt-cntr"> <h4 class="h--small">Accelerate AI With NVIDIA AI Enterprise and CUDA-X</h4> <p class="p--medium"> NVIDIA CUDA-X™, built on top of CUDA®, is a collection of microservices, libraries, tools, and technologies for building applications that deliver dramatically higher performance than alternatives across data processing, AI, and high-performance computing (HPC). </p> <br> <a class="cta--prim" href="/gpu-accelerated-libraries">Get Started</a> </div> <div class="cntnr--cw"> <div class="row"> <div class="col-lg-3 col-md-4 col-sm-6 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <h5 class="h--smallest">NVIDIA Triton Inference Server</h5> <p> NVIDIA Triton Inference Server is open-source software that standardizes AI model deployment and execution across every workload. </p> <a class="cta--tert mt-auto cta--padding-top" style="margin-right: 51px;" href="/nvidia-triton-inference-server">Learn More About Triton Inference Server <span class="fas fa-angle-right fa-fw"></span></a> </div> </div> </div> <div class="col-lg-3 col-md-4 col-sm-6 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <h5 class="h--smallest">NVIDIA Riva</h5> <p> NVIDIA Riva is a set of GPU-accelerated multilingual speech and translation microservices for building fully customizable, real-time conversational AI pipelines. </p> <a class="cta--tert mt-auto cta--padding-top" href="/riva">Learn More About Riva <span class="fas fa-angle-right fa-fw"></span></a> </div> </div> </div> <div class="col-lg-3 col-md-4 col-sm-6 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <h5 class="h--smallest">NVIDIA RAPIDS</h5> <p> NVIDIA RAPIDS™ is an open-source suite of GPU-accelerated data science libraries with simple integration options for the most popular data science tools. </p> <a class="cta--tert mt-auto cta--padding-top" href="/rapids">Learn More About RAPIDS <span class="fas fa-angle-right fa-fw"></span></a> </div> </div> </div> <div class="col-lg-3 col-md-4 col-sm-6 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <h5 class="h--smallest">NVIDIA HPC SDK</h5> <p> The NVIDIA HPC SDK includes the proven compilers, libraries, and software tools essential to maximizing developer productivity and the performance and portability of HPC applications. </p> <a class="cta--tert mt-auto cta--padding-top" style="margin-right: 32px;" href="/hpc-sdk">Learn More About the HPC SDK <span class="fas fa-angle-right fa-fw"></span></a> </div> </div> </div> <div class="col-lg-3 col-md-4 col-sm-6 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <h5 class="h--smallest">GNNs</h5> <p> Graph neural network (GNN) frameworks are easy-to-use Python packages that offer building blocks to build GNNs on top of existing deep learning frameworks for a wide range of applications. </p> <a class="cta--tert mt-auto cta--padding-top" href="/gnn-frameworks#gnn-frameworks">Learn More About GNNs <span class="fas fa-angle-right fa-fw"></span></a> </div> </div> </div> <div class="col-lg-3 col-md-4 col-sm-6 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <h5 class="h--smallest">cuDNN</h5> <p> The NVIDIA CUDA Deep Neural Network (cuDNN) library is a GPU-accelerated library of primitives for deep neural networks. cuDNN provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers. </p> <a class="cta--tert mt-auto cta--padding-top" href="/cudnn">Learn More About cuDNN <span class="fas fa-angle-right fa-fw"></span></a> </div> </div> </div> <div class="col-lg-3 col-md-4 col-sm-6 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <h5 class="h--smallest">RAPIDS Accelerator for Apache Spark</h5> <p> The RAPIDS Accelerator for Apache Spark leverages GPUs to accelerate processing by combining the power of the RAPIDS cuDF library and the scale of the Spark distributed computing framework. </p> <a class="cta--tert mt-auto cta--padding-top" style="margin-right: 71px;" target="_blank" href="https://docs.nvidia.com/spark-rapids/index.html">Learn More About the RAPIDS Accelerator <span class="fas fa-angle-right fa-fw"></span></a> </div> </div> </div> <div class="col-lg-3 col-md-4 col-sm-6 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <h5 class="h--smallest">NVIDIA Morpheus</h5> <p> NVIDIA Morpheus is a GPU-accelerated, end-to-end AI framework that enables developers to create optimized applications for filtering, processing, and classifying large volumes of streaming cybersecurity data. </p> <a class="cta--tert mt-auto cta--padding-top" href="/morpheus-cybersecurity">Learn More About Morpheus <span class="fas fa-angle-right fa-fw"></span></a> </div> </div> </div> </div> </div> </section> <section class="sct--m"> <h2 class="h--medium txt-cntr">Browse by Resource Type</h2> <br> <ul class="nav nav-tabs justify-content-center"> <li class="nav-item active"> <a class="nav-link active" data-toggle="tab" href="#gtc-sessions"> <div class="p--medium"><strong>GTC Sessions</strong></div> </a> </li> <li class="nav-item"> <a class="nav-link" data-toggle="tab" href="#webinars"> <div class="p--medium"><strong>Webinars</strong></div> </a> </li> <li class="nav-item"> <a class="nav-link" data-toggle="tab" href="#blogs"> <div class="p--medium"><strong>Blogs</strong></div> </a> </li> <li class="nav-item"> <a class="nav-link" data-toggle="tab" href="#training"> <div class="p--medium "><strong>Training</strong></div> </a> </li> </ul> <script> window.nodWidgets = [{ id: 'nvidia-gallery-widget1', destination: 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onclick="location.href='https://developer.nvidia.com/blog/supercharging-fraud-detection-in-financial-services-with-graph-neural-networks/';"> <img src="https://developer.download.nvidia.com/images/financial-services-fraud-detection.jpeg" alt="An image of a fraud detection alert on a mobile phone" title="An image of a fraud detection alert on a mobile phone"> <div class="card-cntnt-cntnr"> <h4 class="h--smallest">Supercharging Fraud Detection in Financial Services With Graph Neural Networks</h4> <p> In this blog, we walk through how you can get started with model building and inference through the fraud detection workflow. </p> <a class="cta--tert mt-auto cta--padding-top" href="/blog/supercharging-fraud-detection-in-financial-services-with-graph-neural-networks/">Read Blog <span class="fas fa-angle-right fa-fw"></span></a> </div> </div> </div> <div class="col-lg-3 col-md-3 col-sm-6 col-xs-12"> <div class="card" 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Core GPU for accelerated computing" title=" NVIDIA H100 Tensor Core GPU for accelerated computing"> <div class="card-cntnt-cntnr"> <h4 class="h--smallest">New Risk Calculation Record in Financial Services With Dell Technologies and NVIDIA H100 System for HPC and AI</h4> <p> Dell and NVIDIA covered quantitative applications setting new records on Dell servers with NVIDIA GPUs, independently audited by STAC on financial quantitative HPC workloads. </p> <a class="cta--tert mt-auto cta--padding-top" href="/blog/new-risk-calculation-record-in-financial-services-with-dell-and-h100-system-for-hpc-and-ai/?ncid=em-news-996113-vt09">Read Blog <span class="fas fa-angle-right fa-fw"></span></a> </div> </div> </div> </div> <br> <center><a class="cta--scnd" href="https://developer.nvidia.com/blog/" target="_blank">View All Blogs </a></center> </div> </div> <div class="tab-pane" id="training"> <div class="cntnr--cw"> <br> <div class="row"> <div class="col-md-4"> <h3 class="h--smallest">Accelerating 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