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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

HPE Performance Cluster Manager (HPCM) offers a cohesive system management solution tailored for Linux®-based high-performance computing (HPC) clusters. This software facilitates comprehensive provisioning, management, and monitoring capabilities for clusters that can extend to Exascale-sized supercomputers. HPCM streamlines the initial setup from bare-metal, provides extensive hardware monitoring and management options, oversees image management, handles software updates, manages power efficiently, and ensures overall cluster health. Moreover, it simplifies the scaling process for HPC clusters and integrates seamlessly with numerous third-party tools to enhance workload management. By employing HPE Performance Cluster Manager, organizations can significantly reduce the administrative burden associated with HPC systems, ultimately leading to lowered total ownership costs and enhanced productivity, all while maximizing the return on their hardware investments. As a result, HPCM not only fosters operational efficiency but also supports organizations in achieving their computational goals effectively.

Description

IBM Spectrum LSF Suites serves as a comprehensive platform for managing workloads and scheduling jobs within distributed high-performance computing (HPC) environments. Users can leverage Terraform-based automation for the seamless provisioning and configuration of resources tailored to IBM Spectrum LSF clusters on IBM Cloud. This integrated solution enhances overall user productivity and optimizes hardware utilization while effectively lowering system management expenses, making it ideal for mission-critical HPC settings. Featuring a heterogeneous and highly scalable architecture, it accommodates both traditional high-performance computing tasks and high-throughput workloads. Furthermore, it is well-suited for big data applications, cognitive processing, GPU-based machine learning, and containerized workloads. With its dynamic HPC cloud capabilities, IBM Spectrum LSF Suites allows organizations to strategically allocate cloud resources according to workload demands, supporting all leading cloud service providers. By implementing advanced workload management strategies, including policy-driven scheduling that features GPU management and dynamic hybrid cloud capabilities, businesses can expand their capacity as needed. This flexibility ensures that companies can adapt to changing computational requirements while maintaining efficiency.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

IBM Cloud No 
NVIDIA virtual GPU No 
Open iT ComputeAnalyzer™ No 
Terraform No 
TrinityX No 

Integrations

IBM Cloud Yes 
NVIDIA virtual GPU Yes 
Open iT ComputeAnalyzer™ Yes 
Terraform Yes 
TrinityX Yes 

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 No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
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 No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Hewlett Packard Enterprise

Country

United States

Website

www.hpe.com/psnow/doc/a00044858enw

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/hpc-workload-management

Product Features

Product Features

Workload Automation

Alerts / Notifications No 
Audit Trails No 
Business Process Management No 
Cross-Platform Scheduling No 
Dashboard No 
Data Analysis / Visualization No 
Event-Triggers No 
Load Balancing No 
Resource-Based Scheduling No 
Robotic Process Automation (RPA) No 
Workflow Foundation Support No 

Alternatives

Alternatives

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