PyTorch

May 16, 2023

Sparsity in INT8: Training Workflow and Best Practices for NVIDIA TensorRT Acceleration

The training stage of deep learning (DL) models consists of learning numerous dense floating-point weight matrices, which results in a massive amount of...
12 MIN READ
May 05, 2023

Why Automatic Augmentation Matters

Deep learning models require hundreds of gigabytes of data to generalize well on unseen samples. Data augmentation helps by increasing the variability of...
13 MIN READ
Apr 25, 2023

Increasing Inference Acceleration of KoGPT with NVIDIA FasterTransformer

Transformers are one of the most influential AI model architectures today and are shaping the direction of future AI R&D. First invented as a tool for...
6 MIN READ
Twitter topic model Dataiku diagram
Apr 04, 2023

Topic Modeling and Image Classification with Dataiku and NVIDIA Data Science

The Dataiku platform for everyday AI simplifies deep learning. Use cases are far-reaching, from image classification to object detection and natural language...
11 MIN READ
Graph neural network course
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
Nov 29, 2022

New Workshop: Data Parallelism: How to Train Deep Learning Models on Multiple GPUs

Learn how to decrease model training time by distributing data to multiple GPUs, while retaining the accuracy of training on a single GPU in this new instructor-led workshop.
1 MIN READ
Oct 21, 2022

Upcoming Webinar: A Deep Dive into MONAI

Join us on October 24 for a deep dive into MONAI, the essential framework for AI workflows in healthcare—including use cases, building blocks, and more.
1 MIN READ
Sep 14, 2022

Upcoming Event: Deep Learning Framework Sessions at GTC 2022

Join us for these featured sessions to learn about optimizing PyTorch models, accelerating graph neural networks, improving GPU performance with automated code generation, and more.
1 MIN READ
Aug 03, 2022

Research Neural Fields Your Way with NVIDIA Kaolin Wisp

Research on neural fields has been an increasingly hot topic in computer graphics and computer vision in recent years. Neural fields can represent 3D data like...
5 MIN READ
Jul 29, 2022

Getting Started with the Deep Learning Accelerator on NVIDIA Jetson Orin

If you’re an active Jetson developer, you know that one of the key benefits of NVIDIA Jetson is that it combines a CPU and GPU into a single module, giving...
3 MIN READ
Jul 20, 2022

Optimizing and Serving Models with NVIDIA TensorRT and NVIDIA Triton

Imagine that you have trained your model with PyTorch, TensorFlow, or the framework of your choice, are satisfied with its accuracy, and are considering...
11 MIN READ
Jun 01, 2022

Upcoming Webinar : VPI and Pytorch Interoperability Demo

Join this webinar on June 14 and learn how to program computer vision algorithms using VPI's Python interface.
1 MIN READ
May 23, 2022

The Future of Computer Vision

Computer vision is a rapidly growing field in research and applications. Advances in computer vision research are now more directly and immediately applicable...
9 MIN READ
May 09, 2022

Generating Synthetic Data with Transformers: A Solution for Enterprise Data Challenges

Big data, new algorithms, and fast computation are three main factors that make the modern AI revolution possible. However, data poses many challenges for...
8 MIN READ
Feb 15, 2022

Time Series Forecasting with the NVIDIA Time Series Prediction Platform and Triton Inference Server

In this post, we detail the recently released NVIDIA Time Series Prediction Platform (TSPP), a tool designed to compare easily and experiment with arbitrary...
13 MIN READ
Jan 26, 2022

New on NGC: Security Reports, Latest Containers for PyTorch, TensorFlow, HPC and More

The NVIDIA NGC catalog is a hub for GPU-optimized deep learning, machine learning, and HPC applications. With highly performant software containers, pretrained...
3 MIN READ