HPCWorks

HPCWorks

Siemens
+
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About

AWS ParallelCluster is an open-source cluster management tool that simplifies the deployment and management of High-Performance Computing (HPC) clusters on AWS. It automates the setup of required resources, including compute nodes, a shared filesystem, and a job scheduler, supporting multiple instance types and job submission queues. Users can interact with ParallelCluster through a graphical user interface, command-line interface, or API, enabling flexible cluster configuration and management. The tool integrates with job schedulers like AWS Batch and Slurm, facilitating seamless migration of existing HPC workloads to the cloud with minimal modifications. AWS ParallelCluster is available at no additional charge; users only pay for the AWS resources consumed by their applications. With AWS ParallelCluster, you can use a simple text file to model, provision, and dynamically scale the resources needed for your applications in an automated and secure manner.

About

HPCWorks makes high-performance computing fast, efficient, and productive, on-premises and in the cloud. It helps teams expertly manage IT complexity, streamline administration, control costs, and enable the latest AI and mixed workloads with a complete HPC portfolio. Designed to power critical HPC, AI, and high-throughput workloads across applications such as healthcare, weather prediction, chip design, simulation, and analytics, HPCWorks helps organizations optimize computing environments from end to end. It supports GPU acceleration, rapid scaling, flexible scheduling, and workflow design for today’s largest AI workloads. Its agentic AI assistant can estimate job resource requirements, reduce wait times, and improve job throughput by learning from new data over time. HPCWorks also provides optimal job scheduling and workload management, helping teams reduce wait times, minimize downtime, prioritize critical tasks, and manage nodes, CPUs, cloud bursting, licenses, GPUs, etc.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

IT administrators in need of a solution to deploy HPC clusters on AWS to optimize their data-intensive workloads

Audience

Enterprise HPC administrators who need to optimize cluster performance, cloud scaling, AI workloads, job scheduling, and cost visibility across complex computing environments

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/hpc/parallelcluster/

Company Information

Siemens
Founded: 1847
Germany
www.siemens.com/en-us/products/hpcworks/

Alternatives

TrinityX

TrinityX

Cluster Vision

Alternatives

AWS HPC

AWS HPC

Amazon
Moab HPC Suite

Moab HPC Suite

Adaptive Computing
Slurm

Slurm

IBM
HPE Performance Cluster Manager

HPE Performance Cluster Manager

Hewlett Packard Enterprise

Categories

Categories

HPC

Integrations

AWS Batch
AWS EC2 Trn3 Instances
AWS Elastic Fabric Adapter (EFA)
AWS HPC
AWS Lambda
AWS Parallel Computing Service
Amazon API Gateway
Amazon Web Services (AWS)
GitHub
Python
Slurm

Integrations

AWS Batch
AWS EC2 Trn3 Instances
AWS Elastic Fabric Adapter (EFA)
AWS HPC
AWS Lambda
AWS Parallel Computing Service
Amazon API Gateway
Amazon Web Services (AWS)
GitHub
Python
Slurm
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