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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 Beam Cloud?

Beam is a cutting-edge serverless GPU platform designed specifically for developers, enabling the seamless deployment of AI workloads with minimal configuration and rapid iteration. It facilitates the running of personalized models with container initialization times under one second, effectively removing idle GPU expenses, thereby allowing users to concentrate on their programming while Beam manages the necessary infrastructure. By utilizing a specialized runc runtime, it can launch containers in just 200 milliseconds, significantly boosting parallelization and concurrency through the distribution of tasks across multiple containers. Beam places a strong emphasis on delivering an outstanding developer experience, incorporating features like hot-reloading, webhooks, and job scheduling, in addition to supporting workloads that scale down to zero by default. It also offers a range of volume storage options and GPU functionalities, allowing users to operate on Beam's cloud utilizing powerful GPUs such as the 4090s and H100s, or even leverage their own hardware. The platform simplifies Python-native deployment, removing the requirement for YAML or configuration files, ultimately making it a flexible solution for contemporary AI development. Moreover, Beam's architecture is designed to empower developers to quickly iterate and modify their models, which promotes creativity and advancement within the field of AI applications, leading to an environment that fosters technological evolution.

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Integrations Supported

C++
Docker
Gradio
Jupyter Notebook
Node.js
Python
React
Streamlit

Integrations Supported

C++
Docker
Gradio
Jupyter Notebook
Node.js
Python
React
Streamlit

API Availability

Has API

API Availability

Has API

Pricing Information

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

Pricing Information

Pricing not provided
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

Beam Cloud

Date Founded

2022

Company Location

United States

Company Website

www.beam.cloud/

Categories and Features

Categories and Features

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