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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

To successfully market cloud services, you should rent out your virtualized infrastructure, effectively monitor and manage cloud usage within client organizations, and explore new avenues to tap into the vast cloud market. A cloud-based enterprise cannot expand effectively without an entirely automated billing system in place. An essential component for achieving success is the capability to invoice and process payments based on precisely measured usage data. The Flexiant Cloud Orchestrator features a comprehensive billing solution, ensuring you can quickly access the market. Its robust API and adaptable interface make it straightforward to integrate Flexiant Cloud Orchestrator into your current systems. Customers value options; to mitigate migration risks or maintain their application certifications, they should be empowered to choose the hypervisor that will operate their workloads. Additionally, employing a dynamic workload placement algorithm ensures the most logical choice for initiating a virtual machine, enhancing efficiency and service delivery. This flexibility not only improves customer satisfaction but also fosters long-term loyalty and engagement.

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

HPE Ezmeral No 

Integrations

HPE Ezmeral 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 No 
Live Training (Online) Yes 
In Person No 

Types of Training

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

Vendor Details

Company Name

Flexiant

Country

United Kingdom

Website

www.flexiant.com

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

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

Product Features

Cloud Management

Access Control Yes 
Billing & Provisioning Yes 
Capacity Analytics Yes 
Cost Management No 
Demand Monitoring No 
Multi-Cloud Management Yes 
Performance Analytics No 
SLA Management No 
Supply Monitoring No 
Workflow Approval No 

Container Management

Access Control No 
Application Development No 
Automatic Scaling No 
Build Automation No 
Container Health Management No 
Container Storage No 
Deployment Automation No 
File Isolation No 
Hybrid Deployments No 
Network Isolation No 
Orchestration No 
Shared File Systems No 
Version Control No 
Virtualization 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 

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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