Audience

Companies that utilize deep learning training models

About Run:AI

Virtualization Software for AI Infrastructure. Gain visibility and control over AI workloads to increase GPU utilization. Run:AI has built the world’s first virtualization layer for deep learning training models. By abstracting workloads from underlying infrastructure, Run:AI creates a shared pool of resources that can be dynamically provisioned, enabling full utilization of expensive GPU resources. Gain control over the allocation of expensive GPU resources. Run:AI’s scheduling mechanism enables IT to control, prioritize and align data science computing needs with business goals. Using Run:AI’s advanced monitoring tools, queueing mechanisms, and automatic preemption of jobs based on priorities, IT gains full control over GPU utilization. By creating a flexible ‘virtual pool’ of compute resources, IT leaders can visualize their full infrastructure capacity and utilization across sites, whether on premises or in the cloud.

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Company Information

Run:AI
Founded: 2018
Israel
www.run.ai/

Videos and Screen Captures

Run:AI

Run:AI

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Product Details

Platforms Supported
SaaS
Training
Documentation
Support
Online

Run:AI Frequently Asked Questions

Q: What kinds of users and organization types does Run:AI work with?
Q: What languages does Run:AI support in their product?
Q: What type of training does Run:AI provide?

Run:AI Product Features

Deep Learning

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

Virtualization

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

Run:AI Additional Categories