graph neural networks
![Decorative image of rows of GPUs.](https://cdn.statically.io/img/developer-blogs.nvidia.com/wp-content/uploads/2024/06/hpc-promo-mlperf-featured-960x540.jpg)
Jun 12, 2024
NVIDIA Sets New Generative AI Performance and Scale Records in MLPerf Training v4.0
Generative AI models have a variety of uses, such as helping write computer code, crafting stories, composing music, generating images, producing videos, and...
11 MIN READ
![Decorative image of graphs as light web.](https://cdn.statically.io/img/developer-blogs.nvidia.com/wp-content/uploads/2024/03/wholegraph-storage-featured-960x540.png)
Apr 03, 2024
Optimizing Memory and Retrieval for Graph Neural Networks with WholeGraph, Part 2
Large-scale graph neural network (GNN) training presents formidable challenges, particularly concerning the scale and complexity of graph data. These challenges...
5 MIN READ
![](https://cdn.statically.io/img/developer-blogs.nvidia.com/wp-content/uploads/2024/03/llm-graphic-representation-960x540.jpg)
Mar 14, 2024
Applying Mixture of Experts in LLM Architectures
Mixture of experts (MoE) large language model (LLM) architectures have recently emerged, both in proprietary LLMs such as GPT-4, as well as in community models...
12 MIN READ
![An illustration representing WholeGraph.](https://cdn.statically.io/img/developer-blogs.nvidia.com/wp-content/uploads/2024/03/rapids-wholegraph-24-tech-blog-1920x1080-1-960x540.png)
Mar 08, 2024
Optimizing Memory and Retrieval for Graph Neural Networks with WholeGraph, Part 1
Graph neural networks (GNNs) have revolutionized machine learning for graph-structured data. Unlike traditional neural networks, GNNs are good at capturing...
9 MIN READ
![PyG and Accelerated with NVIDIA logos on a white background.](https://cdn.statically.io/img/developer-blogs.nvidia.com/wp-content/uploads/2024/01/pyg-container-ngc-release-featured-1.png)
Jan 17, 2024
Release: PyTorch Geometric Container for GNNs on NGC
The NVIDIA PyG container, now generally available, packages PyTorch Geometric with accelerations for GNN models, dataloading, and pre-processing using...
1 MIN READ
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Nov 28, 2023
One Giant Superchip for LLMs, Recommenders, and GNNs: Introducing NVIDIA GH200 NVL32
At AWS re:Invent 2023, AWS and NVIDIA announced that AWS will be the first cloud provider to offer NVIDIA GH200 Grace Hopper Superchips interconnected with...
9 MIN READ
![A GIF showing a blood flow simulation.](https://cdn.statically.io/img/developer-blogs.nvidia.com/wp-content/uploads/2023/11/AI-Surrogates-Modulus.gif)
Nov 09, 2023
Enabling Greater Patient-Specific Cardiovascular Care with AI Surrogates
A Stanford University team is transforming heart healthcare with near real-time cardiovascular simulations driven by the power of AI. Harnessing...
8 MIN READ
![](https://cdn.statically.io/img/developer-blogs.nvidia.com/wp-content/uploads/2023/10/neural-network-graphic.jpg)
Oct 13, 2023
Supercharge Graph Analytics at Scale with GPU-CPU Fusion for 100x Performance
Graphs form the foundation of many modern data and analytics capabilities to find relationships between people, places, things, events, and locations across...
11 MIN READ
![](https://cdn.statically.io/img/developer-blogs.nvidia.com/wp-content/uploads/2023/10/nvt-model-parallelism-graphic-960x540.jpg)
Oct 12, 2023
Workshop: Model Parallelism: Building and Deploying Large Neural Networks
Learn how to train the largest neural networks and deploy them to production.
1 MIN READ
![](https://cdn.statically.io/img/developer-blogs.nvidia.com/wp-content/uploads/2023/08/intro-to-gnns-16x9-1-960x540.jpg)
Aug 31, 2023
Introduction to Graph Neural Networks with NVIDIA cuGraph-DGL
Graph neural networks (GNNs) have emerged as a powerful tool for a variety of machine learning tasks on graph-structured data. These tasks range from node...
7 MIN READ
![](https://cdn.statically.io/img/developer-blogs.nvidia.com/wp-content/uploads/2023/06/gnn-gif-parameterized-vortex-shedding.gif)
Jun 06, 2023
Develop Physics-Informed Machine Learning Models with Graph Neural Networks
NVIDIA Modulus is a framework for building, training, and fine-tuning deep learning models for physical systems, otherwise known as physics-informed machine...
6 MIN READ
![Graph neural network course](https://cdn.statically.io/img/developer-blogs.nvidia.com/wp-content/uploads/2023/01/dli-gnn-course-newsletter-thumbnail-600x338-1.jpg)
Jan 17, 2023
New Course: Introduction to Graph Neural Networks
Learn the basic concepts, implementations, and applications of graph neural networks (GNNs) in this new self-paced course from NVIDIA Deep Learning Institute.
1 MIN READ
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Jan 09, 2023
Optimizing Large-Scale Sparse Volumetric Data with NVIDIA NeuralVDB Early Access
Building on the past decade’s development of OpenVDB, the introduction of NVIDIA NeuralVDB is a game-changer for developers and researchers working with...
4 MIN READ
![Decorative image of two graph neural networks on black backgrounds.](https://cdn.statically.io/img/developer-blogs.nvidia.com/wp-content/uploads/2022/10/GNN-hero-image-x1280.jpg)
Nov 04, 2022
Explainer: What Are Graph Neural Networks?
GNNs apply the predictive power of deep learning to rich data structures that depict objects and their relationships as points connected by lines in a graph.
1 MIN READ
![](https://cdn.statically.io/img/developer-blogs.nvidia.com/wp-content/uploads/2022/09/image4_16x9-2.png)
Oct 04, 2022
Optimizing Fraud Detection in Financial Services with Graph Neural Networks and NVIDIA GPUs
Fraud is a major problem for many financial services firms, costing billions of dollars each year, according to a recent Federal Trade Commission report....
22 MIN READ