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Description
HPCWorks Grid Engine is a Siemens distributed workload management platform built to help organizations improve computing performance, resource utilization, and job throughput. It allows teams to maximize shared HPC resources across on-premises, cloud, and hybrid environments while supporting large-scale AI and technical workloads. The software helps organizations deploy HPC clusters in preferred cloud environments and manage specialized resources such as GPUs more effectively. HPCWorks Grid Engine uses workload management and license-first scheduling to reduce job wait times, minimize downtime, and lower hardware, software, and data center costs. It supports thousands of commercial and open-source applications used in industries such as life sciences, manufacturing, energy, and engineering. Users can run workloads across Linux, Windows, and other operating systems on x86, Power, and Arm systems. The platform includes policies for prioritizing workloads by group, department, or business objective. Quotas and limits help administrators control cluster usage for users, projects, and teams. With comprehensive monitoring and reporting, HPCWorks Grid Engine helps organizations understand resource consumption and improve the value of their HPC investments.
Description
Kinesis serves as a comprehensive compute platform that integrates disparate infrastructures spanning clouds, on-premises systems, edge locations, and partner data centers into a cohesive grid. Users can easily deploy applications by pushing a GitHub repository, supplying a Dockerfile or container image, linking a registry, selecting a template, or outlining application requirements, after which Kinesis evaluates the workload, identifies appropriate CPU or GPU resources, and facilitates a live deployment. With its intent-driven controls, Kinesis allows teams to optimize various parameters including cost, reliability, latency, and multi-cloud functionality, all while avoiding the complexities of configuring VPCs, IAM hierarchies, and security groups. Standard containers are capable of running seamlessly across different providers without requiring any rewrites or vendor lock-in, and essential features such as networking, autoscaling, monitoring, health checks, failover mechanisms, recovery options, certificates, secrets management, and rollback capabilities are integrated into every deployment. Additionally, Kinesis continuously assesses and makes intelligent decisions regarding placement, scaling, utilization, and failure management within a diverse compute environment, ensuring efficiency and resilience in operations. This means users can focus on their applications without the burden of underlying infrastructure concerns.
API Access
Has API
API Access
Has API
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
Siemens
Founded
1847
Country
Germany
Website
www.siemens.com/en-us/products/hpcworks/grid-engine/
Vendor Details
Company Name
Kinesis Network
Founded
2024
Country
United States
Website
kinesis.network/