Developer Resources For Financial Services
A hub of news, SDKs, technical resources, and more for developers working in the financial services industry.
Build With NVIDIA AI Enterprise
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.
Tools to Build Applications in Financial Services
NVIDIA NIM
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.
Built on robust foundations, including inference engines like NVIDIA Triton? Inference Server, NVIDIA? TensorRT?, NVIDIA TensorRT-LLM, and PyTorch, NIM is engineered to facilitate seamless AI inferencing at scale.
NVIDIA AI Workflow for Fraud Detection
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.
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.
Accelerate AI With NVIDIA AI Enterprise and CUDA-X
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).
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NVIDIA Triton Inference Server
NVIDIA Triton Inference Server is open-source software that standardizes AI model deployment and execution across every workload.
Learn More About Triton Inference ServerNVIDIA Riva
NVIDIA Riva is a set of GPU-accelerated multilingual speech and translation microservices for building fully customizable, real-time conversational AI pipelines.
Learn More About RivaNVIDIA RAPIDS
NVIDIA RAPIDS? is an open-source suite of GPU-accelerated data science libraries with simple integration options for the most popular data science tools.
Learn More About RAPIDSNVIDIA HPC SDK
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.
Learn More About the HPC SDKGNNs
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.
Learn More About GNNscuDNN
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.
Learn More About cuDNNRAPIDS Accelerator for Apache Spark
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.
Learn More About the RAPIDS AcceleratorNVIDIA Morpheus
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.
Learn More About MorpheusBrowse by Resource Type
Supercharging Fraud Detection in Financial Services With Graph Neural Networks
In this blog, we walk through how you can get started with model building and inference through the fraud detection workflow.
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Transforming Financial Analysis With NVIDIA NIM
Read this technical blog to learn how to build an AI assistant to extract insights from earnings call transcripts using generative AI techniques like retrieval augmented generation (RAG).
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Accelerating Inference on End-to-End Workflows With H2O.ai and NVIDIA
Data scientists are combining generative AI and predictive analytics to build the next generation of AI applications in financial services.
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New Risk Calculation Record in Financial Services With Dell Technologies and NVIDIA H100 System for HPC and AI
Dell and NVIDIA covered quantitative applications setting new records on Dell servers with NVIDIA GPUs, independently audited by STAC on financial quantitative HPC workloads.
Read BlogAccelerating End-to-End Data Science Workflows
In this self-paced lab, learn how to build and execute end-to-end, GPU-accelerated data science workflows that let you quickly explore, iterate, and get your work into production. Using the RAPIDS accelerated data science libraries, you'll learn how to apply a wide variety of GPU-accelerated machine learning algorithms to perform data analysis at scale.
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Digital Fingerprinting With NVIDIA Morpheus
In this free self-paced course, get hands-on experience developing and deploying the NVIDIA Morpheus digital fingerprinting AI workflow, which enables 100 percent data visibility and drastically reduces the time to detect threats.
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Building Conversational AI Applications
In this instructor-led, hands-on workshop, learn how to quickly build and deploy production-quality conversational AI applications with real-time transcription and natural language processing capabilities using the NVIDIA Riva framework.
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