Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Google Cloud Run Reviews & Ratings
    343 Ratings
    Company Website
  • JS7 JobScheduler Reviews & Ratings
    1 Rating
    Company Website
  • RunPod Reviews & Ratings
    206 Ratings
    Company Website
  • Google Cloud Platform Reviews & Ratings
    60,933 Ratings
    Company Website
  • Dragonfly Reviews & Ratings
    16 Ratings
    Company Website
  • OpenMetal Reviews & Ratings
    39 Ratings
    Company Website
  • Kasm Workspaces Reviews & Ratings
    127 Ratings
    Company Website
  • TripMaster Reviews & Ratings
    112 Ratings
    Company Website
  • Assembled Reviews & Ratings
    254 Ratings
    Company Website
  • imgproxy Reviews & Ratings
    15 Ratings
    Company Website

What is Azure CycleCloud?

Design, manage, oversee, and improve high-performance computing (HPC) environments and large compute clusters of varying sizes. Implement comprehensive clusters that incorporate various resources such as scheduling systems, virtual machines for processing, storage solutions, networking elements, and caching strategies. Customize and enhance clusters with advanced policy and governance features, which include cost management, integration with Active Directory, as well as monitoring and reporting capabilities. You can continue using your existing job schedulers and applications without any modifications. Provide administrators with extensive control over user permissions for job execution, allowing them to specify where and at what cost jobs can be executed. Utilize integrated autoscaling capabilities and reliable reference architectures suited for a range of HPC workloads across multiple sectors. CycleCloud supports any job scheduler or software ecosystem, whether proprietary, open-source, or commercial. As your resource requirements evolve, it is crucial that your cluster can adjust accordingly. By incorporating scheduler-aware autoscaling, you can dynamically synchronize your resources with workload demands, ensuring peak performance and cost-effectiveness. This flexibility not only boosts efficiency but also plays a vital role in optimizing the return on investment for your HPC infrastructure, ultimately supporting your organization's long-term success.

What is AWS Parallel Computing Service?

The AWS Parallel Computing Service (AWS PCS) is a highly efficient managed service tailored for the execution and scaling of high-performance computing tasks, while also supporting the development of scientific and engineering models through the use of Slurm on the AWS platform. This service empowers users to set up completely elastic environments that integrate computing, storage, networking, and visualization tools, thereby freeing them from the burdens of infrastructure management and allowing them to concentrate on research and innovation. Additionally, AWS PCS features managed updates and built-in observability, which significantly enhance the operational efficiency of cluster maintenance and management. Users can easily build and deploy scalable, reliable, and secure HPC clusters through various interfaces, including the AWS Management Console, AWS Command Line Interface (AWS CLI), or AWS SDK. This service supports a diverse array of applications, ranging from tightly coupled workloads, such as computer-aided engineering, to high-throughput computing tasks like genomics analysis and accelerated computing using GPUs and specialized silicon, including AWS Trainium and AWS Inferentia. Moreover, organizations leveraging AWS PCS can ensure they remain competitive and innovative, harnessing cutting-edge advancements in high-performance computing to drive their research forward. By utilizing such a comprehensive service, users can optimize their computational capabilities and enhance their overall productivity in scientific exploration.

Media

Media

Integrations Supported

AWS Command Line Interface (CLI)
AWS HPC
AWS Inferentia
AWS ParallelCluster
AWS Trainium
Amazon Web Services (AWS)
Azure Information Protection
Azure Marketplace
Beats
Slurm
Y42

Integrations Supported

AWS Command Line Interface (CLI)
AWS HPC
AWS Inferentia
AWS ParallelCluster
AWS Trainium
Amazon Web Services (AWS)
Azure Information Protection
Azure Marketplace
Beats
Slurm
Y42

API Availability

Has API

API Availability

Has API

Pricing Information

$0.01 per hour
Free Trial Offered?
Free Version

Pricing Information

$0.5977 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

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

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/pcs/

Categories and Features

HPC

Popular Alternatives

Popular Alternatives

AWS HPC Reviews & Ratings

AWS HPC

Amazon
HPE Performance Cluster Manager Reviews & Ratings

HPE Performance Cluster Manager

Hewlett Packard Enterprise
TrinityX Reviews & Ratings

TrinityX

Cluster Vision
Slurm Reviews & Ratings

Slurm

IBM