AWS HPC Blog
Category: Compute
Advancing research in the cloud: AWS announces expanded training resources
AWS is investing in researcher training with new learning plans for HPC, quantum, stats, AI/ML & generative AI. Check out the details!
Improve engineering productivity using AWS Engineering License Management
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 compute-intensive tasks on AWS
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 […]
Building your digital twin solution using the Digital Twin Framework on AWS
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 […]
Cross-account HPC cluster monitoring using Amazon EventBridge
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.
Designing better catalysts with HPC – DIC, SandboxAQ, and AWS collaborate for record quantum chemistry computation
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.
Simulating complex systems with LLM-driven agents: leveraging AWS ParallelCluster for scalable AI experiments
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.
Automotive component design at Nifco using generative AI and diffusion models
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.
Deploying Generative AI Applications with NVIDIA NIM Microservices on Amazon Elastic Kubernetes Service (Amazon EKS) – Part 2
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!
Use Terraform to deploy a complete AWS Batch environment on Amazon EKS
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.