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Characteristics of financial services HPC workloads in the cloud

This blog post will explore the technical attributes of computationally demanding high performance computing (HPC) workloads within the financial services sector. By examining the key characteristics of your workloads, we will guide you …

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The frugal HPC architect – ensuring effective FinOps for HPC workloads at scale

Running High Performance Computing workloads in AWS offers immense scale and flexibility, but many on-premises approaches to cost management don’t apply in the cloud. In this post we explore the key levers to reducing unit costs, …

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Introducing Riskthinking.AI Climate Earth Digital Twin on AWS

As climate change escalates, power infrastructure faces growing risks. Explore how the ClimateEarthDigitalTwin (CDT™) platform from riskthinking.AI leverages AWS HPC to assess these risks and enable resilience planning for the energy …

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Setting file system-wide soft and hard quotas on Amazon Elastic File System (EFS)

Sometimes the infrastructure operations team might face a challenge in managing the development team’s data storage practices. The development team tends to store data in an uncontrolled manner, leading to potential issues such as excessive …

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Petrobras optimizes cost and capacity of HPC applications with Amazon EC2 Spot Instances

Discover how Petrobras and Universidade Federal Fluminense (Rio de Janeiro — Brazil) developed an innovative HPC solution on AWS, leveraging Spot Instances to optimize costs. Explore the automations in place to avoid interruptions and use …

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Scale Reinforcement Learning with AWS Batch Multi-Node Parallel Jobs

Autonomous robots are increasingly used across industries, from warehouses to space exploration. While developing these robots requires complex simulation and reinforcement learning (RL), setting up training environments can be challenging …

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Adding functionality to your applications using multiple containers in AWS Batch

Discover how to coordinate multiple applications in separate containers within a single AWS Batch job definition. Learn the benefits of this approach and how to share resources between containers for more efficient, scalable deployments. …

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Improve quantum workload performance with Q-CTRL’s Fire Opal error suppression for IonQ processors on Amazon Braket

Boost the performance of your quantum workloads on IonQ hardware with Q-CTRL’s Fire Opal error suppression technology, now available on Amazon Braket. Achieve increased accuracy and run deeper, wider circuits with just a few lines of code. …

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  • Elastic Fabric Adapter
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  • AI/ML
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Latest Articles
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    Exact simulation of Quantum Enhanced Signature Kernels for financial data streams prediction using Amazon Braket
    November 12, 2025
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    Amazon Braket Notebook Environments Now Support CUDA-Q Natively
    November 10, 2025
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    Secure EKS clusters with the new support for Amazon EKS in AWS Backup
    November 10, 2025
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