Discover more about what's new at AWS with Announcing AWS Parallel Computing Service

Discover more about what's new at AWS with Announcing AWS Parallel Computing Service

Discover more about what's new at AWS with AWS Parallel Computing Service expands Slurm customization capabilities

Discover more about what's new at AWS with Announcing CloudFormation support for AWS Parallel Computing Service

Discover more about what's new at AWS with AWS Parallel Computing Service (PCS) now supports accounting with Slurm version 24.11

Discover more about what's new at AWS with AWS Parallel Computing Service now supports dynamic cluster updates

Discover more about what's new at AWS with Announcing CloudFormation support for AWS Parallel Computing Service

Discover more about what's new at AWS with Announcing CloudFormation support for AWS Parallel Computing Service

The Parallel Computing Service (PCS) team at AWS is seeking a Software Development Engineer to join the core Slurm team. The role involves building and shipping services that focus on advancing PCS ca...

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 [...]

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 [...]

AWS Parallel Computing Service (AWS PCS) is now HIPAA (Health Insurance Portability and Accountability Act) eligible. AWS PCS is a managed service that helps you build and manage High Performance Computing (HPC) clusters using the Slurm workload manager. With the AWS PCS HIPAA certification, organizations with a Business Associate Addendum (BAA) can now use AWS PCS for compute-intensive healthcare workloads such as genomic sequencing, medical imaging analysis, and clinical research simulations. AWS maintains a standards-based risk management program to ensure that HIPAA-eligible services specifically support HIPAA administrative, technical, and physical safeguards. AWS PCS is HIPAA compliant in all of the AWS Regions where AWS PCS is available. See the AWS Regional Services List for the most up-to-date availability information. To learn more about HIPAA eligible services, visit the webpage. To get started with AWS PCS, visit the product page to learn more.

Today, AWS announced support for job metadata logs for AWS Parallel Computing Service (PCS). With this launch, PCS can be configured to emit job completion logs to Amazon CloudWatch Logs, Amazon S3, and Amazon Data Firehose. Each job log will contain detailed metadata including information such as job submission time, start time, completed time, user who submitted the job, queue that processed the job, and Amazon EC2 instances used to run the job. Using these logs, you can analyze usage patterns, identify and troubleshoot job failures, track job wait times in the queue, generate user-level usage reports, and more. This feature is available in all AWS Regions where PCS is available. You can enable job completion metadata logging on all newly-created PCS clusters in just a few clicks using the AWS Management Console. Visit our https://docs.aws.amazon.com/pcs/latest/userguide/monitoring_job-completion-logs.html to learn more.  

Today, AWS announced support for job metadata logs for AWS Parallel Computing Service (PCS). With this launch, PCS can be configured to emit job completion logs to Amazon CloudWatch Logs, Amazon S3, and Amazon Data Firehose. Each job log will contain detailed metadata including information such as job submission time, start time, completed time, user who submitted the job, queue that processed the job, and Amazon EC2 instances used to run the job. Using these logs, you can analyze usage patterns, identify and troubleshoot job failures, track job wait times in the queue, generate user-level usage reports, and more. This feature is available in all AWS Regions where PCS is available. You can enable job completion metadata logging on all newly-created PCS clusters in just a few clicks using the AWS Management Console. Visit our job completion documentation page to learn more.

Discover more about what's new at AWS with AWS Parallel Computing Service (PCS) now supports Slurm version 24.05