Automatic Mixed Precision (AMP)
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
Jul 24, 2020
Accelerating TensorFlow on NVIDIA A100 GPUs
The NVIDIA A100, based on the NVIDIA Ampere GPU architecture, offers a suite of exciting new features: third-generation Tensor Cores, Multi-Instance GPU (MIG)...
12 MIN READ
Dec 10, 2019
Develop Smaller Speech Recognition Models with the NVIDIA NeMo Framework
As computers and other personal devices have become increasingly prevalent, interest in conversational AI has grown due to its multitude of potential...
7 MIN READ
Sep 14, 2019
Neural Modules for Fast Development of Speech and Language Models
[stextbox id="info"]This post has been updated with Announcing NVIDIA NeMo: Fast Development of Speech and Language Models. The new version has information...
6 MIN READ
Jun 19, 2019
Creating an Object Detection Pipeline for GPUs
Earlier this year in March, we showed retinanet-examples, an open source example of how to accelerate the training and deployment of an object detection...
16 MIN READ
Mar 18, 2019
Automatic Mixed Precision for NVIDIA Tensor Core Architecture in TensorFlow
Whether to employ mixed precision to train your TensorFlow models is no longer a tough decision. NVIDIA’s Automatic Mixed Precision (AMP) feature for...
5 MIN READ
Dec 03, 2018
NVIDIA Apex: Tools for Easy Mixed-Precision Training in PyTorch
Most deep learning frameworks, including PyTorch, train using 32-bit floating point (FP32) arithmetic by default. However, using FP32 for all operations is not...
8 MIN READ