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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Lium serves as a platform where users can rent NVIDIA GPUs on an hourly basis, with various providers listing their machines, leading to competitive pricing driven by the marketplace dynamics. Customers have the flexibility to rent either an individual GPU or an entire 8-GPU node, and they can initiate a container in approximately one minute, gaining access through SSH and Jupyter. Current hourly rates are set at $0.16 for an RTX 3090, $0.27 for an RTX 4090, $0.49 for an RTX 5090, and $4.23 for an H200, with billing occurring on a per-second basis, meaning a job that lasts 12 minutes will only charge for those 12 minutes. To facilitate deployment, Lium offers a command line interface and a Python SDK, along with a free public API that allows users to check live pricing and availability. New users are welcomed with a $5 credit, and the service operates without the need for contracts or minimum commitments. This platform is specifically designed to accommodate machine learning tasks, including training, fine-tuning, inference, and batch processing, particularly when traditional hyperscaler pricing models may not be favorable. By providing such accessible options, Lium empowers developers and researchers to efficiently utilize powerful GPU resources as needed.

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

No images available

Screenshots View All

Integrations

HPE Ezmeral No 

Integrations

HPE Ezmeral Yes 

Pricing Details

$0.16 per GPU per hour
Free Trial No 
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 No 
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) No 
In Person No 

Types of Training

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

Vendor Details

Company Name

Lium

Website

lium.io

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

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

Product Features

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 

Alternatives

Alternatives