AWS ParallelClusterAmazon
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Related Products
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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.
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About
IBM Analytics Engine provides an architecture for Hadoop clusters that decouples the compute and storage tiers. Instead of a permanent cluster formed of dual-purpose nodes, the Analytics Engine allows users to store data in an object storage layer such as IBM Cloud Object Storage and spins up clusters of computing notes when needed. Separating compute from storage helps to transform the flexibility, scalability and maintainability of big data analytics platforms. Build on an ODPi compliant stack with pioneering data science tools with the broader Apache Hadoop and Apache Spark ecosystem. Define clusters based on your application's requirements. Choose the appropriate software pack, version, and size of the cluster. Use as long as required and delete as soon as an application finishes jobs. Configure clusters with third-party analytics libraries and packages. Deploy workloads from IBM Cloud services like machine learning.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
IT administrators in need of a solution to deploy HPC clusters on AWS to optimize their data-intensive workloads
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Audience
Enterprises in need of an architecture for Hadoop clusters to decouples the compute and storage tiers
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
$0.014 per hour
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/hpc/parallelcluster/
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Company InformationIBM
Founded: 1911
United States
www.ibm.com/cloud/analytics-engine
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Alternatives |
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Categories |
Categories |
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Integrations
AWS Batch
Supported
AWS EC2 Trn3 Instances
Supported
AWS Elastic Fabric Adapter (EFA)
Supported
AWS HPC
Supported
AWS Lambda
Supported
AWS Parallel Computing Service
Supported
Acquia CDP
Not Supported
Amazon API Gateway
Supported
Amazon Web Services (AWS)
Supported
Apache Spark
Not Supported
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Integrations
AWS Batch
Not Supported
AWS EC2 Trn3 Instances
Not Supported
AWS Elastic Fabric Adapter (EFA)
Not Supported
AWS HPC
Not Supported
AWS Lambda
Not Supported
AWS Parallel Computing Service
Not Supported
Acquia CDP
Supported
Amazon API Gateway
Not Supported
Amazon Web Services (AWS)
Not Supported
Apache Spark
Supported
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