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What is Slurm?

Slurm Workload Manager, formerly known as Simple Linux Utility for Resource Management (SLURM), serves as an open-source and free job scheduling and cluster management solution designed for Linux and Unix-like systems. Its main purpose is to manage computational tasks within high-performance computing (HPC) clusters and high-throughput computing (HTC) environments, which has led to its widespread adoption by countless supercomputers and computing clusters around the world. As advancements in technology progress, Slurm continues to be an essential resource for both researchers and organizations in need of effective resource allocation. Moreover, its adaptability and ongoing updates ensure that it meets the changing demands of the computing landscape.

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 ParallelCluster
AWS Command Line Interface (CLI)
AWS HPC
AWS Inferentia
AWS Parallel Computing Service
AWS Trainium
Amazon Web Services (AWS)
Azure Marketplace
ClusterVisor
FPT AI Factory
IBM Cloud
Skyportal
Slurm
Thunder Compute
TrinityX

Integrations Supported

AWS ParallelCluster
AWS Command Line Interface (CLI)
AWS HPC
AWS Inferentia
AWS Parallel Computing Service
AWS Trainium
Amazon Web Services (AWS)
Azure Marketplace
ClusterVisor
FPT AI Factory
IBM Cloud
Skyportal
Slurm
Thunder Compute
TrinityX

API Availability

Has API

API Availability

Has API

Pricing Information

Free
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

IBM

Date Founded

1911

Company Location

United States

Company Website

slurm.schedmd.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/pcs/

Categories and Features

Workload Automation

Alerts / Notifications
Audit Trails
Business Process Management
Cross-Platform Scheduling
Dashboard
Data Analysis / Visualization
Event-Triggers
Load Balancing
Resource-Based Scheduling
Robotic Process Automation (RPA)
Workflow Foundation Support

Categories and Features

HPC

Popular Alternatives

Popular Alternatives

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