Introducing Grouped GEMM APIs in cuBLAS and More Performance Updates
The latest release of NVIDIA cuBLAS library, version 12.5, continues to deliver functionality and performance to deep learning (DL) and high-performance...
The NVIDIA CUDA Deep Neural Network library (cuDNN) is a GPU-accelerated library for accelerating deep learning primitives with state-of-the-art performance....
Explainer: What Is a Convolutional Neural Network?
A convolutional neural network is a type of deep learning network used primarily to identify and classify images and to recognize objects within images.
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...
With the latest NVIDIA TAO 5.2, you can now run zero-shot inference for panoptic segmentation with ODISE, create custom 3D object pose models, and boost...
New Self-Paced Course: RAPIDS Accelerator for Apache Spark
Dive into the RAPIDS Accelerator for Apache Spark toolset, including the workload qualification tool for estimating speedup on GPU and the profiling tool for...
Designing Deep Networks to Process Other Deep Networks
Deep neural networks (DNNs) are the go-to model for learning functions from data, such as image classifiers or language models. In recent years, deep models...
Customizing AI Models: Train Character Detection and Recognition Models with NVIDIA TAO
Optical Character Detection (OCD) and Optical Character Recognition (OCR) are computer vision techniques used to extract text from images. Use cases vary across...
Customizing AI Models: Deploy a Character Detection and Recognition Model with NVIDIA Triton
NVIDIA Triton Inference Server streamlines and standardizes AI inference by enabling teams to deploy, run, and scale trained ML or DL models from any framework...
Distributed Deep Learning Made Easy with Spark 3.4
Apache Spark is an industry-leading platform for distributed extract, transform, and load (ETL) workloads on large-scale data. However, with the advent of deep...
