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Average Ratings 0 Ratings

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ease
features
design
support

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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

HPCWorks revolutionizes high-performance computing by offering solutions that are fast, efficient, and productive for both on-premises and cloud environments. It empowers teams to expertly navigate IT complexities, simplify administrative tasks, manage expenses, and leverage the latest in AI and mixed workloads through a comprehensive HPC portfolio. Specifically engineered to support vital HPC, AI, and high-throughput tasks across various sectors like healthcare, weather forecasting, chip design, simulation, and analytics, HPCWorks enables organizations to enhance their computing setups comprehensively. The platform excels in GPU acceleration, rapid scaling, adaptive scheduling, and efficient workflow design to accommodate the demands of today's most substantial AI projects. Notably, its intelligent AI assistant is capable of assessing job resource needs, shortening wait times, and boosting job throughput by continuously learning from incoming data. Additionally, HPCWorks offers advanced job scheduling and workload management features, allowing teams to decrease wait periods, minimize system downtime, prioritize essential tasks, and efficiently oversee nodes, CPUs, cloud bursting, licenses, GPUs, and more, thus ensuring a seamless operational experience. Ultimately, this robust solution stands out as a critical asset for organizations striving to maximize their computational capabilities and streamline their IT processes.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

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

Integrations

AWS Batch No 
AWS EC2 Trn3 Instances No 
AWS Elastic Fabric Adapter (EFA) No 
AWS HPC No 
AWS Lambda No 
AWS Parallel Computing Service No 
Amazon API Gateway No 
Amazon Web Services (AWS) No 
GitHub No 
Python No 
Slurm No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/hpc/parallelcluster/

Vendor Details

Company Name

Siemens

Founded

1847

Country

Germany

Website

www.siemens.com/en-us/products/hpcworks/

Product Features

Product Features

HPC

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