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

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

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