AWS HPC Blog

This post was contributed by Eran Brown, Principal Engagement Manager, Prototyping Team, Vedanth Srinivasan, Head of Solutions, Engineering & Design, Edmund Chute, Specialist SA, Solution Builder, Priyanka Mahankali, Senior specialist SA, Emerging Domains For engineering companies, the cost of Computer Aided Design and Engineering (CAD/CAE) tools can as high as 20% of product development cost. […]

Optimizing workloads for performance and cost-effectiveness is crucial for businesses of all sizes – and especially helpful for workloads in the cloud, where there are a lot of levers you can pull to tune how things run. AWS offers a vast array of instance types in Amazon Elastic Compute Cloud (Amazon EC2) – each with […]

This post was contributed by Jeremiah Habets, Ross Pivovar, Pramod Daya, Pallavi Chari, and Adam Rasheed from AWS Customers tell us that they’re increasingly seeking holistic digital twin solutions spanning IoT, spatial computing, and predictive modeling domains. Integrating these diverse technical stacks presents challenges for builders. In a prior post, we described a four-level Digital […]

Managing extensive HPC workflows? This post details how to monitor resource consumption without compromising security. Check it out for a customizable reference architecture that sends only relevant data to your monitoring account.

EnginFrame Views users: check out this post on migration options to maintain secure remote access to your HPC environment. As AWS sunsets NICE EnginFrame, alternatives built on Amazon DCV can provide a seamless transition.

Catalyst design is challenging, but could computational methods help? A new post from our blog explores how DIC, SandboxAQ & AWS are teaming up to model organometallic compounds to improve industrial catalysis.

How might AI change the rules of the energy game? A new post explores using large language models to power smarter, more adaptive agents in an energy supply chain simulation. Learn how LLMs could enable more nuanced decision-making behaviors.

Combining generative AI with AWS services, Nifco USA is exploring new frontiers in structural design. See how they’re using diffusion models, SageMaker, and Batch to create game-changing lightweight auto parts.

Learn how to deploy AI models at scale with @AWS using NVIDIA’s NIM and Amazon EKS! This step-by-step guide shows you how to create a GPU cluster for inference in this second post of a two-part series!

Harness the power of AWS Batch on Amazon EKS with this new Terraform blueprint. It provides a complete template to create robust batch processing in the cloud. An easy button you shouldn’t miss.