AWS HPC Blog

Tag: AI

Announcing expanded support for Custom Slurm Settings in AWS Parallel Computing Service.png

Announcing expanded support for Custom Slurm Settings in AWS Parallel Computing Service

Today we’re excited to announce expanded support for custom Slurm settings in AWS Parallel Computing Service (PCS). With this launch, PCS now enables you to configure over 65 Slurm parameters. And for the first time, you can also apply custom settings to queue resources, giving you partition-specific control over scheduling behavior. This release responds directly […]

Announcing Capacity Blocks support for AWS Parallel Computing Service

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 […]

Protein language model training with NVIDIA BioNeMo framework on AWS ParallelCluster

Protein language model training with NVIDIA BioNeMo framework on AWS ParallelCluster

In this new post, we discuss pre-training ESM-1nv for protein language modeling with NVIDIA BioNeMo on AWS. Learn how you can efficiently deploy and customize generative models like ESM-1nv on GPU clusters with ParallelCluster. Whether you’re studying protein sequences, predicting properties, or discovering new therapeutics, this post has tips to accelerate your protein AI workloads on the cloud.