AWS HPC Blog
Tag: Machine Learning
Three recipes you don’t want to miss for AWS Parallel Computing Service
AWS Parallel Computing Service now supports AWS CloudFormation, enabling you to deploy and scale HPC workloads as code. Check out our open-source HPC Recipes Library for quick cluster deployments.
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.
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.
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!
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.
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.
A guide to identity management in Research and Engineering Studio on AWS
Check out this new post to learn about identity options for Research and Engineering Studio on AWS. Understanding choices for SAML IdPs and Active Directory will help you plan secure VDI access.
LLMs: the new frontier in generative agent-based simulation
How can LLMs take agent-based simulation to the next level? Check out our new post on leveraging large language models’ capabilities for more realistic modeling.