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 …
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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 …
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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
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Knowing the physical structure of proteins is an important part of the drug discovery process. Machine learning (ML) algorithms like AlphaFold have revolutionized discoveries leading to usable protein structures. In this first part of a …
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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 …
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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 …
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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 …
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If you’re new to AWS and wanting to do some HPC work, then it’s likely ParallelCluster is a tool you should understand. It’s creates and manages full-featured HPC clusters for you - in minutes. And those clusters can do …
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