AWS HPC Blog
Smashing computational barriers: data-driven ball-impact modeling on AWS
Elevate your engineering capabilities with lightning-fast impact prediction. Our new blog post delves into how advanced ML models, like U-Nets and Fourier Neural Operators, are revolutionizing transient response forecasting for critical industries like consumer electronics, automotive, and aerospace. Gain a competitive edge by integrating these cutting-edge techniques.
Scalable Cryo-EM on AWS Parallel Computing Service (PCS)
Cryo-EM data processing just got a major boost! Learn how AWS Parallel Computing Service can help structural biology teams scale their HPC infrastructure and streamline Cryo-EM research. Discover a recommended reference architecture that leverages the power of the cloud.
Integrating Research and Engineering Studio in Trusted Research Environments built on AWS
Explore how Research and Engineering Studio on AWS (RES) enables admins to build Trusted Research Environments (TREs) with built-in security and compliance controls. Learn more in our latest blog post.
Run protein folding on AWS with Quantori
Curious about running AI-powered protein folding analyses on AWS? Quantori’s new solution makes it easy to test generative models and visualize results in your own cloud environment.
Unlock large-scale autonomous driving simulations on AWS with IPG
Discover how AWS Batch’s multi-container features enable large-scale AV/ADAS simulations with the IPG CarMaker simulator. Learn about the challenges of integrating complex, interdependent vehicle systems.
How BAM supercharged large scale research with AWS Batch
Balyasny Asset Management (BAM), a $22B global investment firm, faced a unique challenge: how to empower 160 investment teams to conduct cutting-edge research across six strategies. Discover how they leveraged AWS Batch and Amazon EKS to supercharge their research capabilities.
Accelerating file reads with a storage caching server
Looking to boost storage performance for your #HPC workloads on AWS? Find out how to build a high-speed EC2 cache for under $4/hour that’s fit for purpose in this new blog post.
Scaling your LLM inference workloads: multi-node deployment with TensorRT-LLM and Triton on Amazon EKS
LLMs are scaling exponentially. Learn how advanced technologies like Triton, TRT-LLM and EKS enable seamless deployment of models like the 405B parameter Llama 3.1. Let’s go large.
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!
On-demand visual login nodes – using RES with AWS Parallel Computing Service
Running large-scale modeling and simulations just got easier. Check out our new post on integrating AWS Parallel Computing Service with Research and Engineering Studio for individualized access to HPC resources.