Run:AI Description

AI Infrastructure Virtualization Software. Enhance oversight and management of AI tasks to optimize GPU usage. Run:AI has pioneered the first virtualization layer specifically designed for deep learning training models. By decoupling workloads from the underlying hardware, Run:AI establishes a collective resource pool that can be allocated as needed, ensuring that valuable GPU resources are fully utilized. This approach allows for effective management of costly GPU allocations. With Run:AI’s scheduling system, IT departments can direct, prioritize, and synchronize computational resources for data science projects with overarching business objectives. Advanced tools for monitoring, job queuing, and the automatic preemption of tasks according to priority levels provide IT with comprehensive control over GPU resource utilization. Furthermore, by forming a versatile ‘virtual resource pool,’ IT executives can gain insights into their entire infrastructure’s capacity and usage, whether hosted on-site or in the cloud, thus facilitating more informed decision-making. This comprehensive visibility ultimately drives efficiency and enhances resource management.

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Company Details

Company:
Run:AI
Year Founded:
2018
Headquarters:
Israel
Website:
www.run.ai/

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Product Details

Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support

Run:AI Features and Options

Virtualization Software

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

Deep Learning Software

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

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