Automatic Mixed Precision (AMP)

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

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)...

As computers and other personal devices have become increasingly prevalent, interest in conversational AI has grown due to its multitude of potential...

[stextbox id="info"]This post has been updated with Announcing NVIDIA NeMo: Fast Development of Speech and Language Models. The new version has information...

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...

Whether to employ mixed precision to train your TensorFlow models is no longer a tough decision. NVIDIA’s Automatic Mixed Precision (AMP) feature for...

Most deep learning frameworks, including PyTorch, train using 32-bit floating point (FP32) arithmetic by default. However, using FP32 for all operations is not...