AWS HPC Blog
Tag: Compute
Announcing Capacity Blocks support for AWS Parallel Computing Service
This post was contributed by by Kareem Abdol-Hamid, Kyle Bush Today we’re happy to announce that support for Amazon EC2 Capacity Blocks for Machine Learning are now supported in AWS Parallel Computing Service (AWS PCS). This allows you to reserve and schedule GPU-accelerated Amazon EC2 instances for future use. That includes the NVIDIA Hopper GPU […]
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.
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!
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 […]
Migration options for NICE EnginFrame Views customers
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.
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.
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.
Customizing your HPC environment: building AMIs for AWS Parallel Computing Service
Don’t settle for one-size-fits-all HPC. Unlock the power of custom AMIs in AWS Parallel Computing Service. Discover why tailored images are crucial for security, performance, and your workflows
Electronic design at the speed of Lightmatter: transforming EDA workloads with RES
Check out this post to learn how Lightmatter leveraged AWS tools like Research and Engineering Studio (RES) and AWS ParallelCluster to meet demanding computational requirements for electronic design.
You told us we needed to re-think HPC in the cloud. So we did.
AWS Parallel Computing Service reinvented HPC in the cloud. Learn how we combined familiar HPC tools with the flexibility of the cloud. And walk through what it is, and why it matters.