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Average Ratings 0 Ratings
Description
Amazon Elastic Block Store (EBS) is a high-performance and user-friendly block storage service intended for use alongside Amazon Elastic Compute Cloud (EC2), catering to both throughput and transaction-heavy workloads of any size. It supports a diverse array of applications, including both relational and non-relational databases, enterprise software, containerized solutions, big data analytics, file systems, and media processing tasks. Users can select from six distinct volume types to achieve the best balance between cost and performance. With EBS, you can attain single-digit-millisecond latency for demanding database applications like SAP HANA, or achieve gigabyte-per-second throughput for large, sequential tasks such as Hadoop. Additionally, you have the flexibility to change volume types, optimize performance, or expand volume size without interrupting your essential applications, ensuring you have economical storage solutions precisely when you need them. This adaptability allows businesses to respond quickly to changing demands while maintaining operational efficiency.
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
API Access
Has API
Integrations
AWS App Mesh
Amazon EC2
Amazon EC2 Inf1 Instances
Amazon S3
Cloud Assessor
Datafy
IBM Cloud
NVIDIA virtual GPU
New Relic
Observe
Integrations
AWS App Mesh
Amazon EC2
Amazon EC2 Inf1 Instances
Amazon S3
Cloud Assessor
Datafy
IBM Cloud
NVIDIA virtual GPU
New Relic
Observe
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
2006
Country
United States
Website
aws.amazon.com/ebs/
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
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