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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Utilize the synergy between artificial intelligence and human expertise to enhance decision-making in IT. OneIQ workspaces foster transparency among IT experts, technology consultants, and suppliers, facilitating a unified approach to Hybrid IT choices. This collaborative visibility into data and insights allows for quicker approval and implementation of infrastructure recommendations. By harnessing cross-platform awareness and shared knowledge, organizations can make more informed, data-supported choices. Equip your teams with AI-generated insights to refine and optimize Hybrid IT systems effectively. Proactively adjust IT infrastructure to prevent expensive availability and performance challenges. Strengthen your Hybrid IT projects by cultivating better partnerships with technology advisors and suppliers. Ensure that only pertinent IT asset information is shared by implementing visibility controls tailored for each connected IT environment. This strategic approach not only streamlines processes but also enhances the overall effectiveness of IT operations.

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

Amazon Web Services (AWS) Yes 
Google Cloud Platform Yes 
HPE Ezmeral No 
Microsoft Azure Yes 
Nutanix AOS Storage Yes 

Integrations

Amazon Web Services (AWS) No 
Google Cloud Platform No 
HPE Ezmeral Yes 
Microsoft Azure No 
Nutanix AOS Storage No 

Pricing Details

$9 per workload per month
Free Trial No 
Free Version Yes 

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 Yes 
Mac No 
Linux Yes 
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) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
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 No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

OneIQ

Founded

2007

Country

Canada

Website

www.oneiq.com/platform

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

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

Product Features

Virtualization

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

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 

Alternatives

Alternatives