Category: Best Practices

Elevate your mining and construction business to new heights with the power of 3D world modeling and AI-driven scene interpretation. Our latest blog post delves into the underlying technologies, from SLAM and photogrammetry to point-cloud analysis, and demonstrates how to scale the execution of these compute-intensive algorithms on AWS. Unlock the potential to optimize your workflows, improve decision-making, and drive sustainable growth.

Aerospace organizations are facing intense competition and the need to innovate quickly. In our latest blog post, we explore how AWS High Performance Computing (HPC) can help you accelerate innovation and drive your aerospace missions forward. Read more to discover how the cloud can give you an edge.

HPC customers in automotive and manufacturing love Amazon FSx for Lustre because it combines a managed, easy-to-use service with the power of a high throughput parallel file system. Moreover, FSx for Lustre has a native integration with Amazon S3, our object storage service that is designed for durability and low cost. You can link your […]

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 through a decision tree approach to help determine the most suitable HPC platform for the cloud – whether it be a commercial vendor solution, open-source option, or a fully cloud-native implementation.

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, understanding consumption, and how efficiency and effectiveness are key measures of success.

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.

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 systematically evaluate your strategies and prepare for future market scenarios. Part 2 covers implementation details and results.

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 systematically evaluate your strategies and prepare for future market scenarios. Part 1 of 2 covers the theoretical foundations of the approach.

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.

Exciting updates to AWS Batch on Amazon EKS! Configurable namespaces, persistent volume claims, and more. Check out our blog post to see how these features can help manage your complex containerized workloads.