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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Quantum networks are an emerging technology that distribute entangled quantum bits to geographically separated users. These networks can enable new communication tasks such as the generation of shared cryptographic keys whose security does …
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Following the announcement of a research alliance between the AWS Center for Quantum Networking and Harvard University, a joint team of Harvard and AWS scientists published a research paper today in Science Magazine discussing production of …
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AWS ParallelCluster 3.3.0 now lets you define a list of Amazon EC2 instance types for resourcing a compute queue. This gives you more flexibility to optimize the cost and total time to solution of your HPC jobs, especially when capacity is …
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