AWS HPC Blog

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 […]

Aerospace organizations are facing intense competition and the need to innovate quickly. In our latest blog post, we explore how AWS High Performance Computing (HPC) can help you accelerate innovation and drive your aerospace missions forward. Read more to discover how the cloud can give you an edge.

Streamline your genomic and multiomic data analysis with DRAGEN on Amazon EC2 F2 instances. Our latest blog post explores the performance benefits of this hardware-accelerated solution, helping you unlock insights faster.

HPC customers in automotive and manufacturing love Amazon FSx for Lustre because it combines a managed, easy-to-use service with the power of a high throughput parallel file system. Moreover, FSx for Lustre has a native integration with Amazon S3, our object storage service that is designed for durability and low cost. You can link your […]

Today, we’re announcing an update to the AWS Well-Architected High Performance Computing (HPC) Lens, providing you with comprehensive architectural guidance in a single, authoritative resource. This newly updated lens consolidates years of AWS HPC implementation experience into structured best practices that help you build and optimize your HPC workloads on AWS.

When seeking to improve machine learning model performance, hyperparameter tuning is often the go-to recommendation. However, this approach faces significant limitations, particularly for complex models requiring extensive training times. In this post, we’ll explore a novel approach that combines gradient norm analysis with Large Language Model (LLM) guidance to intelligently redesign neural network architectures. This […]

In this blog post, we’re excited to share how Novo Nordisk, Columbia University and AWS collaborated to create OpenFold3, a state-of-the-art protein structure prediction model, using cost-effective and scalable bioinformatics solutions on AWS.

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.

Boost ASIC verification efficiency with SilverLining EDA’s VeriFire on Amazon EC2 F2 Instances: Unlock up to 60% better price-performance compared to F1, and accelerate your FPGA build times by 80% with SilverLining EDA’s cloud-based emulation solution.