This blog post explains how to run parallel rendering workloads and produce an animation in a cost and time effective way using AWS Batch and AWS Step Functions. AWS Batch manages the rendering jobs on Amazon Elastic Compute Cloud (Amazon …
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Machine Learning is a huge workload, and one of the most demanding when it comes to scaling to thousands (and thousands) of CPUs. Some of the largest workloads customers run in the cloud are deep learning models, which require huge numbers …
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In this blog post, we’ll show how you can run NVIDIA Parabricks on AWS Batch leveraging AWS CloudFormation templates. Parabricks is a GPU-accelerated tool for secondary genomic analysis. It reduces the runtime of variant calling on a 30x …
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As companies shift high-performance workloads toward cloud solutions, data storage and data protection go side-by-side. Many companies have both internal and external security rules and regulations they must adhere to when storing their …
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The Ampersand Data Science team had a challenge: their Bayesian statistical models needed more than half a million core-hours of runtime, regularly, if they were to get an answer fast enough for it to be useful to their customers. Scaling …
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Over the last decade, governments and technology companies have invested heavily in research and development of quantum computers that have the potential to revolutionize science and technology. While there is still a long way ahead, these …
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In this blog post, we help you understand the AWS Batch job termination process and how you may take actions to gracefully terminate a job by capturing SIGTERM signal inside the application. It provides you with an efficient way to exit …
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We are excited to share a solution to one of our most frequent customer requests: a Qiskit provider for Amazon Braket. Users can now take their existing algorithms written in Qiskit, a widely used open-source quantum programming SDK and, …
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