AWS Batch is a fully-managed AWS service that orchestrates vast numbers of jobs using containers. It leverages some of your favorite container systems - Amazon ECS and Kubernetes, and - above all: makes your life easier because it handles …
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We just released version 3.3 of AWS ParallelCluster, and it has a whole bag of new features. instance type allocation diversity in your queues; separation of shred volumes from the cluster lifecycle SLURM ACCOUNTING (this is pretty popular) …
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Amazon Braket recently launched the Aquila quantum processing unit (QPU) based on Rydberg atoms by QuEra Computing. In a previous post, we explored how researchers can use Rydberg devices to study problems and quantum phenomena in …
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Pay-as-you-go resources are a compelling but budget-limited researchers performing HPC workloads need help working within the bounds of their grants. In this post, we show how to build a real-time cost guardian for AWS Batch to help enforce …
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Today we announced the AWS Impact Computing Project at the Harvard Data Science Initiative (HDSI) to identify potential solutions that can improve the lives of humans, other species, and natural ecosystems. Deb Goldfarb describes its goals …
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Amazon SageMaker is a fully-managed service that provides every developer and data scientist with the ability to quickly build, train, and deploy machine learning (ML) models at scale. ML is realized in inference. SageMaker offers four …
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The Elastic Fabric Adapter was created so HPC and machine-learning customers could scale their tightly-coupled codes and models to thousands (and thousands) of cores without missing any performance. It has some very cool design features …
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The Elastic Fabric Adapter was created so HPC and machine-learning customers could scale their tightly-coupled codes and models to thousands (and thousands) of cores without missing any performance. It has some very cool design features …
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