AWS Machine Learning Blog

Category: Amazon EC2

AWS to offer NVIDIA A100 Tensor Core GPU-based Amazon EC2 instances

Tens of thousands of customers rely on AWS for building machine learning (ML) applications. Customers like Airbnb and Pinterest use AWS to optimize their search recommendations, Lyft and Toyota Research Institute to develop their autonomous vehicle programs, and Capital One and Intuit to build and deploy AI-powered customer assistants. AWS offers the broadest and deepest […]

Train Deep Learning Models on GPUs using Amazon EC2 Spot Instances

You’ve collected your datasets, designed your deep neural network architecture, and coded your training routines. You are now ready to run training on a large dataset for multiple epochs on a powerful GPU instance. You learn that the Amazon EC2 P3 instances with NVIDIA Tesla V100 GPUs are ideal for compute-intensive deep learning training jobs, […]

Scalable multi-node deep learning training using GPUs in the AWS Cloud 

A key barrier to the wider adoption of deep neural networks on industrial-size datasets is the time and resources required to train them. AlexNet, which won the 2012 ImageNet Large Scale Visual Recognition Competition (ILSVRC) and kicked off the current boom in deep neural networks, took nearly a week to train across the 1.2-million-image, 1000-category […]

Toyota Research Institute accelerates safe automated driving with deep learning at a global scale on AWS

Vehicles with self-driving technology can bring many benefits to society. One of the top priorities at Toyota Research Institute (TRI) is to apply the latest advancements in artificial intelligence (AI) to help Toyota produce cars that are safer, more accessible, and more environmentally friendly. To help TRI achieve their goals, they turned to deep learning […]