In March 2023, AWS and NVIDIA announced a multipart collaboration focused on building the most scalable, on-demand artificial intelligence (AI) infrastructure optimized for training increasingly complex large language models (LLMs) and …
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In this post we show how physics-inspired graph neural networks can be used to solve the notoriously hard graph-coloring problem, at scale. This can help in an huge number of familiar resource-allocation problems from sports to rental cars. …
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Securely storing and authorizing access to data in the cloud is a top priority. One challenge faced by organizations is developing a consistent authorization experience to grant access to data for hybrid architectures. Workloads running on …
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Lawrence Livermore National Laboratory (LLNL) and AWS are again joining forces to provide a training opportunity for emerging HPC tools and application. In this post you’ll find out the details of those tutorials, and find out how to …
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In this post AWS Professional Services describes how they recommend using AWS Batch and Amazon Elastic Container Service (Amazon ECS) managed services for running HPC applications like GROMACS and RELION. Read the Post on the AWS Blog …
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Today’s demanding workloads such as database, rendering farm, analytics and ML workloads, have increasingly demanding IO requirements. These workloads need a reliable storage infrastructure that provides sufficient storage capacity, IOPS, …
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In this blog post, we’ll discuss how to use AWS Batch to improve actuarial modeling workloads which are important in the insurance industry, used for analyzing and predicting risks and potential losses. Read the Post on the AWS Blog Channel
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Today we’re going to show you how you can automate cluster deployment and create self-documenting infrastructure at the same time, which leads to more repeatable results that are easier to manage (and replicate). Read the Post on the AWS …
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