Research scientists and quantum algorithm developers are often new to cloud computing. Their main focus during quantum algorithm development should center on writing algorithm code; however, they often spend time setting up and maintaining …
Read More
We are getting ready to launch three new Amazon Elastic Compute Cloud (Amazon EC2) instance types and I am happy to be able to give you a sneak peek at them today. C7gn Instances are designed for your most demanding network-intensive …
Read More
Since launch, EFA has seen continuous improvements in performance. In this post, we talk about our 2nd generation of EFA, which takes another step in improving Machine Learning and High Performance Computing in the Cloud. Read the Post on …
Read More
Today, we are announcing the availability of Amazon EFS Elastic Throughput, a new throughput mode for Amazon EFS that is designed to provide your applications with as much throughput as they need with pay-as-you-use pricing. This new …
Read More
In this post we describe the process to launch large, self-supervised training jobs using AWS ParallelCluster and Facebook’s Vision Self-Supervised Learning (VISSL) library. Read the Post on the AWS Blog Channel
Read More
Training Machine Learning models involves multiple steps, it gets more complex and time consuming when the size of the data set for training is in the range of 100s of GBs. Data Scientists run through large number of experiments and …
Read More
Stateful applications rely on data being persisted and retrieved to run properly. When running stateful applications using Kubernetes, state needs to be persisted regardless of container, pod, or node crashes or terminations. This requires …
Read More
Starting today, access to D-Wave products and services has fully transitioned to the AWS Marketplace, and customers can no longer access the D-Wave 2000Q and Advantage systems via Amazon Braket, the cloud computing service of AWS. In this …
Read More