AWS HPC Blog
Performance gains with AWS Graviton4 – a DevitoPRO case study
This post was contributed by Gerard Gorman from Devito, and Cyril Lagrange, Gilles Tourpe, and Theo Wu from AWS The AWS Graviton4 processor represents a significant leap forward, with 96 Neoverse V2 cores and an enhanced memory subsystem. The 12 DDR5-5600 channels provide up to 75% more memory bandwidth than Graviton3 which is beneficial for […]
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.
Harnessing the power of agent-based modeling for equity market simulation and strategy testing
Financial professionals: Simulate realistic market conditions with Simudyne’s agent-based modeling on AWS and Red Hat OpenShift. Learn how HKEX leverages these insights.
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
Discontinuation of NICE EnginFrame effective September 25th, 2025
After careful consideration, we have made the decision to discontinue NICE EnginFrame including NICE EnginFrame views, effective September 25, 2025. If you want to continue using NICE EnginFrame beyond the end-of-support date, we recommend contacting NI-SP, an AWS partner with decades of experience implementing and supporting NICE EnginFrame for enterprises.
Recent improvement to Open MPI AllReduce and the impact to application performance
Our team engineered some Open MPI optimizations for EFA to enhance performance of HPC codes running in the cloud. By improving MPI_AllReduce they improved scaling – matching commercial MPIs. Tests show gains for apps including Code Saturne and OpenFOAM on both Arm64 and x86 instances. Check out how these tweaks can speed up your HPC workloads in the cloud.
AWS Batch enables near-real-time energy production forecasts using NVIDIA Earth-2
Using AWS Batch and NVIDIA Earth-2, we built a scalable workflow that explores millions of scenarios at a fraction of the cost of traditional methods. This innovative approach not only provides rapid energy calculations, but also shows the potential of AI-driven meteorology.
Harnessing the power of large language models for agent-based model development
Want to build agent-based models without deep expertise? Our latest blog post explores using Claude 3 Sonnet to tap into knowledge and accelerate ABM development.
Whisper audio transcription powered by AWS Batch and AWS Inferentia
Transcribe audio files at scale for really low cost using Whisper and AWS Batch with Inferentia. Check out this post to deploy a cost-effective solution in minutes!
Securing HPC on AWS – isolated clusters
In this post, we’ll share two ways customers can operate HPC workloads using AWS ParallelCluster while completely isolated from the Internet. ParallelCluster supports many different network configurations to support a range of uses. When referring to isolation we mean situations where your HPC cluster is completely self-contained inside AWS, or where you have a private […]