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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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.

Description

Harness the capabilities of the enterprise workload engine to enhance performance, bolster security, and accelerate innovation within your organization. The latest version of vSphere provides crucial services tailored for the contemporary hybrid cloud environment. It has been redesigned to incorporate native Kubernetes, allowing the seamless operation of traditional enterprise applications alongside cutting-edge containerized solutions. This evolution facilitates the modernization of on-premises infrastructure through effective cloud integration. By implementing centralized management, gaining global insights, and utilizing automation, you can significantly increase productivity. Additionally, leverage supplementary cloud services to maximize your operations. To meet the demands of distributed workloads, networking functions on the DPU are optimized, ensuring improved throughput and reduced latency. Furthermore, this approach liberates GPU resources, which can then be applied to expedite AI and machine learning model training, even for more complex models. Overall, this unified platform not only streamlines processes but also supports your organization’s growth in the evolving digital landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Alliance Key Manager
ArcServe Live Migration
Cruz Operations Center (CruzOC)
CyberArk Workforce Identity
Elastic Observability
Faddom
Flexiscale
Goliath Performance Monitor
HPE Ezmeral
HyTrust
LiveVault
Maestro
Netvisor ONE
Omnissa Horizon 8
Omnissa Horizon Cloud Service
OverSOC
StorMagic SvSAN
VMware HCX
Vinchin Backup & Recovery
vCloud Usage Meter

Integrations

Alliance Key Manager
ArcServe Live Migration
Cruz Operations Center (CruzOC)
CyberArk Workforce Identity
Elastic Observability
Faddom
Flexiscale
Goliath Performance Monitor
HPE Ezmeral
HyTrust
LiveVault
Maestro
Netvisor ONE
Omnissa Horizon 8
Omnissa Horizon Cloud Service
OverSOC
StorMagic SvSAN
VMware HCX
Vinchin Backup & Recovery
vCloud Usage Meter

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

NVIDIA

Founded

1993

Country

United States

Website

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

Vendor Details

Company Name

Broadcom

Founded

1991

Country

United States

Website

www.vmware.com/products/cloud-infrastructure/vsphere

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

Product Features

Server Virtualization

Audit Management
Health Monitoring
Live Machine Migration
Multi-OS Virtual Machines
Patching / Backup
Performance Log
Performance Optimization
Rapid Provisioning
Security Management
Type 1 / Type 2 Hypervisor

Virtualization

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

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