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Improving NFL player health using machine learning with AWS Batch

In this post we’ll show you how the NFL used AWS to scale their ML workloads and produce the first comprehensive dataset of helmet impacts across multiple NFL seasons. They were able to reduce manual labor by 90% and the results beats human …

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Introducing the Wolfram Quantum Framework for Amazon Braket

In this post, we’ll explore the Wolfram Quantum Framework and show you how to connect it with Amazon Braket to run quantum algorithms.

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Diving Deeper into Fair-Share Scheduling in AWS Batch

Today we dive into details of AWS Batch fair share policies and show how they affect job placement. You’ll see the result of different share policies, and hear about practical use cases where you can benefit from fair share job queues in …

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Creating recipes for your ParallelClusters using CloudFormation

ParallelCluster 3.6 came with a bunch of new features, but the most important one for us today is CloudFormation support. As you’ll hear from Charlie and Matt in today’s tech short, this means we can all start sharing our favorite recipes …

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How to make digital technologies for the circular economy work for your business

In this post, we discuss the benefits of digital technology for the circular economy, and show how businesses can implement these technologies to get the most out of them for the wellbeing of everyone.

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New Amazon EC2 Instances (C7gd, M7gd, and R7gd) Powered by AWS Graviton3 Processor with Local NVMe-based SSD Storage

We launched Amazon EC2 C7g instances in May 2022 and M7g and R7g instances in February 2023. Powered by the latest AWS Graviton3 processors, the new instances deliver up to 25 percent higher performance, up to two times higher …

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New – Amazon EC2 P5 Instances Powered by NVIDIA H100 Tensor Core GPUs for Accelerating Generative AI and HPC Applications

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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Graph coloring with physics-inspired graph neural networks

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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Latest Articles
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    Thermodynamic sampling of disordered materials with an analog Hamiltonian Rydberg simulator
    July 23, 2026
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    A framework for quantum-classical integration decisions
    July 20, 2026
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    Explore NVIDIA CUDA-Q Applications Hub and Academic Library with Amazon Braket
    July 17, 2026
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