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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

NVIDIA Run:ai is a cutting-edge platform that streamlines AI workload orchestration and GPU resource management to accelerate AI development and deployment at scale. It dynamically pools GPU resources across hybrid clouds, private data centers, and public clouds to optimize compute efficiency and workload capacity. The solution offers unified AI infrastructure management with centralized control and policy-driven governance, enabling enterprises to maximize GPU utilization while reducing operational costs. Designed with an API-first architecture, Run:ai integrates seamlessly with popular AI frameworks and tools, providing flexible deployment options from on-premises to multi-cloud environments. Its open-source KAI Scheduler offers developers simple and flexible Kubernetes scheduling capabilities. Customers benefit from accelerated AI training and inference with reduced bottlenecks, leading to faster innovation cycles. Run:ai is trusted by organizations seeking to scale AI initiatives efficiently while maintaining full visibility and control. This platform empowers teams to transform resource management into a strategic advantage with zero manual effort.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

HPCWorks Monitor Yes 
HPE Ezmeral No 
Saturn Cloud No 

Integrations

HPCWorks Monitor No 
HPE Ezmeral Yes 
Saturn Cloud Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

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

Vendor Details

Company Name

Siemens

Founded

1847

Country

Germany

Website

www.siemens.com/en-us/products/hpcworks/grid-engine/

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

www.nvidia.com/en-us/software/run-ai/

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

Virtualization

Archiving & Retention No 
Capacity Monitoring No 
Data Mobility No 
Desktop Virtualization No 
Disaster Recovery No 
Namespace Management No 
Performance Management No 
Version Control No 
Virtual Machine Monitoring No 

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Alternatives

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