Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

AWS ParallelCluster is a free, open-source tool designed for efficient management and deployment of High-Performance Computing (HPC) clusters within the AWS environment. It streamlines the configuration of essential components such as compute nodes, shared filesystems, and job schedulers, while accommodating various instance types and job submission queues. Users have the flexibility to engage with ParallelCluster using a graphical user interface, command-line interface, or API, which allows for customizable cluster setups and oversight. The tool also works seamlessly with job schedulers like AWS Batch and Slurm, making it easier to transition existing HPC workloads to the cloud with minimal adjustments. Users incur no additional costs for the tool itself, only paying for the AWS resources their applications utilize. With AWS ParallelCluster, users can effectively manage their computing needs through a straightforward text file that allows for the modeling, provisioning, and dynamic scaling of necessary resources in a secure and automated fashion. This ease of use significantly enhances productivity and optimizes resource allocation for various computational tasks.

Description

Reduce unexpected downtime and lessen the risk of data loss resulting from corruption or system failures. The SLE HA extension features geo clustering capabilities to oversee clustered servers, whether they are located on-premises or in cloud environments globally. Our policy-driven, robust extension for Linux clusters ensures that your business remains operational while significantly reducing unplanned downtime across various locations and regions. With flexible, policy-driven clustering and continuous data replication, you can enhance adaptability while improving service availability and resource efficiency by integrating both physical and virtual Linux server clusters. A powerful unified interface allows you to install, configure, manage, and monitor your clustered Linux environments seamlessly. Additionally, multi-tenancy functionality enables you to organize geo clusters in alignment with specific business requirements, ensuring tailored management and optimal performance. This comprehensive approach offers a strategic advantage in maintaining system resilience and operational excellence.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

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

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/hpc/parallelcluster/

Vendor Details

Company Name

SUSE

Founded

1992

Country

Germany

Website

www.suse.com/products/highavailability/

Product Features

Product Features

Alternatives

Alternatives

TrinityX Reviews

TrinityX

Cluster Vision
Rocket iCluster Reviews

Rocket iCluster

Rocket Software
Slurm Reviews

Slurm

IBM