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Average Ratings 0 Ratings

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ease
features
design
support

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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

Klique is a vendor-agnostic enterprise AI control plane designed to manage how AI requests, models, workloads, and compute resources are routed and governed. Its Smart Routing engine sends individual AI requests to suitable models based on policy, cost, latency, and data sensitivity while routing larger workloads according to infrastructure capacity, locality, and price. The platform can work with internal models, open-source models, hosted APIs from providers such as OpenAI and Anthropic, and AI workloads running across private or public infrastructure. AI Service Management turns model endpoints into governed services with centralized token budgets, spend limits, quotas, virtual keys, identity controls, and audit trails. These policies can be applied consistently across human users, software agents, development tools, teams, and projects. Klique’s GPU Orchestration engine pools GPUs, CPUs, and cloud resources so organizations can allocate compute using fractional sharing, quotas, and priority scheduling. It supports use cases including application inference, model training, data processing, research workloads, and production model serving. Klique can be deployed on-premises, in air-gapped environments, across major cloud providers, or in hybrid architectures while maintaining the same governance and visibility model. The platform is intended for enterprises, AI teams, IT organizations, research groups, and regulated environments that need centralized control over AI infrastructure, usage, and spending.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

HPCWorks Monitor

Integrations

HPCWorks Monitor

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

Klique

Website

klique.ai/

Alternatives

Alternatives

HPCWorks Reviews

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