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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 High Performance Computing (HPC) services enable users to run extensive simulations and deep learning tasks in the cloud, offering nearly limitless computing power, advanced file systems, and high-speed networking capabilities. This comprehensive set of services fosters innovation by providing a diverse array of cloud-based resources, such as machine learning and analytics tools, which facilitate swift design and evaluation of new products. Users can achieve peak operational efficiency thanks to the on-demand nature of these computing resources, allowing them to concentrate on intricate problem-solving without the limitations of conventional infrastructure. AWS HPC offerings feature the Elastic Fabric Adapter (EFA) for optimized low-latency and high-bandwidth networking, AWS Batch for efficient scaling of computing tasks, AWS ParallelCluster for easy cluster setup, and Amazon FSx for delivering high-performance file systems. Collectively, these services create a flexible and scalable ecosystem that is well-suited for a variety of HPC workloads, empowering organizations to push the boundaries of what’s possible in their respective fields. As a result, users can experience greatly enhanced performance and productivity in their computational endeavors.

Description

Design, oversee, operate, and enhance high-performance computing (HPC) and large-scale compute clusters seamlessly. Implement comprehensive clusters and additional resources, encompassing task schedulers, computational virtual machines, storage solutions, networking capabilities, and caching systems. Tailor and refine clusters with sophisticated policy and governance tools, which include cost management, integration with Active Directory, as well as monitoring and reporting functionalities. Utilize your existing job scheduler and applications without any necessary changes. Empower administrators with complete authority over job execution permissions for users, in addition to determining the locations and associated costs for running jobs. Benefit from integrated autoscaling and proven reference architectures suitable for diverse HPC workloads across various sectors. CycleCloud accommodates any job scheduler or software environment, whether it's proprietary, in-house solutions or open-source, third-party, and commercial software. As your requirements for resources shift and grow, your cluster must adapt accordingly. With scheduler-aware autoscaling, you can ensure that your resources align perfectly with your workload needs while remaining flexible to future changes. This adaptability is crucial for maintaining efficiency and performance in a rapidly evolving technological landscape.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS Batch Yes 
AWS Elastic Fabric Adapter (EFA) Yes 
AWS Marketplace Yes 
AWS Nitro System Yes 
AWS Parallel Computing Service Yes 
AWS ParallelCluster Yes 
Amazon DCV Yes 
Amazon EC2 Yes 
Amazon FSx Yes 
Amazon FSx for Lustre Yes 
Amazon Web Services (AWS) Yes 
Azure Information Protection No 
Azure Marketplace No 
Beats No 
Y42 No 

Integrations

AWS Batch No 
AWS Elastic Fabric Adapter (EFA) No 
AWS Marketplace No 
AWS Nitro System No 
AWS Parallel Computing Service No 
AWS ParallelCluster No 
Amazon DCV No 
Amazon EC2 No 
Amazon FSx No 
Amazon FSx for Lustre No 
Amazon Web Services (AWS) No 
Azure Information Protection Yes 
Azure Marketplace Yes 
Beats Yes 
Y42 Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0.01 per hour
1 GB, 1 hour
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 No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
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) No 
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) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/hpc/

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/features/azure-cyclecloud/

Product Features

HPC

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