Category: Compute

This post was contributed by Ameya Kamerkar (Rivian), Vikram Pendyam (Rivian), Abhishek Chauhan (Rivian), Ajay Paknikar (AWS), Sandeep Sovani (AWS) Figure 1. Rivian’s custom Amazon Electric Delivery Vehicle (EDV) (Credits: Rivian media kit) In this post, we share how Rivian, a leading electric vehicle manufacturer, revolutionized their engineering simulation capabilities by migrating to AWS and […]

Running NVIDIA Cosmos world foundation models on AWS provides powerful physical AI capabilities at scale. This blog covers two production-ready architectures, each optimized for different organizational needs and constraints.

We want to empower every scientist and engineer to solve hard problems by giving them access to the compute and analytical tools they need, when they need them. Cloud HPC can be a real human progress catalyst. If you run large scale simulations, tune complex models, or support researchers who consistently need more compute, the […]

AWS re:Invent 2025 returns to Las Vegas, Nevada on December 1, uniting AWS builders, customers, partners, and IT professionals from across the globe. This year’s event offers you exclusive access to compelling customer stories and insights from AWS leadership as they tackle today’s most critical challenges in high-performance computing, from accelerating scientific discovery to optimizing […]

It’s been a year since we announced AWS Parallel Computing Service (PCS). In a way this is the third generation of Slurm-based HPC orchestrators that we’ve brought to you. We’ve learned much from helping customers deploy serious production workloads on AWS ParallelCluster, which itself grew from the foundations layed by CfnCluster – the open-source project […]

Tired of waiting for your on-premises EDA tools to churn through those massive design files? Let the cloud take the strain! Synopsys and AWS have the horsepower to get your chips to market faster.

Cyclone chasing just got a whole lot smarter! Check out how DTN’s AI-powered weather model is rewriting the forecast. Brace yourself for the future of weather prediction.

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 […]

Today, we are launching a new set of instance family categories for AWS Batch, “default_x86_64” and “default_arm64″. These new categories represent both a clarification and an improvement upon the existing “optimal” instance type category. This blog post gives some background on the new feature and how you can configure your Batch environments to take advantage […]

In this post, we’ll review the key optimizations and performance gains for our Whisper audio transcription solution powered by AWS Batch and AWS Inferentia.