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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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
HPE Ezmeral
Microsoft Azure
Nutanix AOS Storage

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
HPE Ezmeral
Microsoft Azure
Nutanix AOS Storage

Pricing Details

$9 per workload per month
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

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
Capacity Monitoring
Data Mobility
Desktop Virtualization
Disaster Recovery
Namespace Management
Performance Management
Version Control
Virtual Machine Monitoring

Product Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Virtualization

Archiving & Retention
Capacity Monitoring
Data Mobility
Desktop Virtualization
Disaster Recovery
Namespace Management
Performance Management
Version Control
Virtual Machine Monitoring

Alternatives

Alternatives