Subsurface infrastructure mapping is crucial for industries ranging from oil and gas to environmental protection. Our groundbreaking approach combines advanced magnetic imaging with physics-informed AI to provide unparalleled visibility …
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Capacity Blocks for ML (CBML) are a powerful feature that allows you to reserve highly sought-after GPU based EC2 instances for a future date to support your short-duration machine learning (ML) workloads. Since the reservations are “for a …
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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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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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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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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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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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The Terraform AWS Cloud Control (AWSCC) provider now supports AWS Batch job definitions, enabling you to leverage recent and future enhancements to AWS Batch. Learn more in our latest blog post. Read the Post on the AWS Blog Channel
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