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What is Lium?

Lium is a rental platform that allows users to lease NVIDIA GPUs on an hourly basis, featuring a variety of providers who list their hardware, which fosters competitive pricing through market forces. Users have the option to rent a single GPU or a full 8-GPU node, with the ability to launch a container in about a minute, granting them SSH and Jupyter access. The current hourly prices are $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 calculated on a per-second basis, meaning that a job lasting 12 minutes will only incur charges for that exact time. To aid in deployment, Lium provides a command line interface and a Python SDK, along with a complimentary public API that enables users to monitor real-time pricing and availability. New customers receive a welcome credit of $5, and there are no contracts or minimum commitments required for service usage. This platform is tailored specifically for machine learning applications such as training, fine-tuning, inference, and batch processing, particularly when conventional hyperscaler pricing structures may not be advantageous. By offering such flexible and accessible services, Lium empowers both developers and researchers to make effective use of high-performance GPU resources as necessary, ultimately enhancing productivity in computational tasks. This approach not only democratizes access to cutting-edge technology but also supports innovation in various fields reliant on machine learning.

What is Charg?

Charg is an innovative platform that streamlines the entire lifecycle of AI infrastructure, transforming traditional enterprise-grade supercomputing systems into flexible cloud environments tailored for AI and high-performance computing tasks. The public HPC cloud provided by Charg grants access to a wide range of resources, from a singular GPU to an expansive cluster exceeding 60 PFLOPS, empowering teams to leverage supercomputing power without the burden of owning or maintaining the hardware themselves. It incorporates cutting-edge CRAY supercomputers and the formidable NVIDIA DGX architecture, which combines clustered NVIDIA V100 GPUs with high-speed 200 GbE InfiniBand networking and comprehensive all-flash CEPH storage, delivering exceptional low-latency and high-throughput performance. Charg is meticulously crafted to address demanding AI workflows, scientific inquiries, and engineering calculations, facilitating a multitude of tasks such as model training, large-scale inference, simulations, complex data analysis, finite element analysis, and computational fluid dynamics. By utilizing an API-driven framework, Charg not only integrates effortlessly with existing workflows but also provides scalable on-demand capacity, free from operational constraints, making it a prime solution for various computational requirements. This adaptability guarantees that organizations can swiftly modify their resources in response to fluctuating demands, ensuring efficiency and effectiveness in their computational endeavors. Moreover, the platform prioritizes user experience, making it easier for teams to focus on innovation rather than infrastructure challenges.

Media

No images available

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$0.16 per GPU per hour
Free Version
Free Trial Offered?

Pricing Information

$0.99 per hour
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Lium

Company Website

lium.io

Company Facts

Organization Name

Charg

Company Location

United States

Company Website

charg.cloud/

Categories and Features

Categories and Features

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