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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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How to run CUDA-Q programs on Amazon Braket notebook instances

Amazon Braket provides access to quantum computing resources and tools to develop quantum algorithms, test them on quantum circuit simulators, and run them on different quantum hardware technologies. Amazon Braket notebooks provide …

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Enhancing Equity Strategy Backtesting with Synthetic Data: An Agent-Based Model Approach

Developing robust investment strategies requires thorough testing, but relying solely on historical data can introduce biases and limit your insights. Learn how synthetic data from agent-based models can provide an unbiased testbed to …

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Enhancing Equity Strategy Backtesting with Synthetic Data: An Agent-Based Model Approach – part 2

Developing robust investment strategies requires thorough testing, but relying solely on historical data can introduce biases and limit your insights. Learn how synthetic data from agent-based models can provide an unbiased testbed to …

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How to use rate-limited resources in AWS Batch jobs with resource aware scheduling

Struggling with bottlenecks in your batch processing? AWS Batch’s new resource aware scheduling capability could be the solution your business needs. This feature allows you to define and manage consumable resources, helping maximize the …

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Latest Articles
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    ParallelCluster or Parallel Computing Service - how to choose
    October 9, 2025
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    New general-purpose Amazon EC2 M8a instances are now available
    October 8, 2025
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    Announcing expanded support for Custom Slurm Settings in AWS Parallel Computing Service
    October 6, 2025
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