Category: *Post Types

In this blog post, we’re excited to share how Novo Nordisk, Columbia University and AWS collaborated to create OpenFold3, a state-of-the-art protein structure prediction model, using cost-effective and scalable bioinformatics solutions on AWS.

In this post, we’ll review the key optimizations and performance gains for our Whisper audio transcription solution powered by AWS Batch and AWS Inferentia.

Boost ASIC verification efficiency with SilverLining EDA’s VeriFire on Amazon EC2 F2 Instances: Unlock up to 60% better price-performance compared to F1, and accelerate your FPGA build times by 80% with SilverLining EDA’s cloud-based emulation solution.

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.

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.

In this post, we’ll examine how this multi-agent approach works, the architecture behind it, and the efficiency improvements it enables. While the focus is on an engineering use case, the principles apply broadly to any organization facing the challenge of coordinating specialized expertise to deliver faster, more consistent results.

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.

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.

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.