AWS HPC Blog

Category: Compute

Announcing Capacity Blocks support for AWS Parallel Computing Service

Announcing Capacity Blocks support for AWS Parallel Computing Service

This post was contributed by by Kareem Abdol-Hamid, Kyle Bush Today we’re happy to announce that support for Amazon EC2 Capacity Blocks for Machine Learning are now supported in AWS Parallel Computing Service (AWS PCS). This allows you to reserve and schedule GPU-accelerated Amazon EC2 instances for future use. That includes the NVIDIA Hopper GPU […]

Introducing “default” instance categories for AWS Batch

Today, we are launching a new set of instance family categories for AWS Batch, “default_x86_64” and “default_arm64″. These new categories represent both a clarification and an improvement upon the existing “optimal” instance type category. This blog post gives some background on the new feature and how you can configure your Batch environments to take advantage […]

Introducing managed accounting for AWS Parallel Computing Service

AWS Parallel Computing Service (AWS PCS) now supports accounting, a Slurm feature that enables you to monitor resource utilization, enforce resource limits, and manage access-control to specific capacity across users and projects in a cluster. AWS PCS manages the accounting database for the cluster, so that you don’t have to setup and manage a separate accounting database. In this post, we’ll show you how this works, and point you to some actual use cases you can try yourself.

AI-Enhanced Subsurface Infrastructure Mapping on AWS

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 into hidden structures, even when traditional methods fall short. Explore how this fusion of cloud computing and AI is opening new possibilities for subsurface exploration and management.

Optimizing HPC workflows with automatically scaling clusters in Ansys Gateway powered by AWS

Ansys Gateway powered by AWS now has an integration with AWS ParallelCluster to enable users deploy on-demand HPC clusters for running Ansys simulations on AWS. This allows engineers to run large-scale simulations efficiently while optimizing cloud costs by dynamically adjusting resources based on simulation workload requirements. In this blog post, we describe the architecture, workflow, and Amazon EC2 recommendations for running Ansys applications in Ansys Gateway.

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 sector. Learn how this cutting-edge solution can safeguard your critical assets.

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 the lowest-cost instances available.