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What is SF Compute?

SF Compute operates as a marketplace that provides users with on-demand access to vast GPU clusters, allowing for the rental of high-performance computing resources by the hour without requiring long-term contracts or significant upfront costs. Users can choose between virtual machine nodes or Kubernetes clusters that feature InfiniBand for quick data transfers, enabling them to specify the number of GPUs, the duration of use, and the start time based on their individual needs. The platform allows for customizable "buy blocks" of computing power; for example, clients may opt for a package of 256 NVIDIA H100 GPUs for three days at a set hourly rate, or they can modify their resource allocation to fit their financial plans. Kubernetes clusters can be deployed in just half a second, while virtual machines typically take around five minutes to be ready for use. In addition, SF Compute provides significant storage capabilities, boasting over 1.5 TB of NVMe and more than 1 TB of RAM, and users benefit from zero costs associated with data transfers in or out, ensuring no extra fees for data movement. The architecture of SF Compute cleverly obscures the physical infrastructure, utilizing a real-time spot market alongside a dynamic scheduling system to enhance resource allocation efficiency. This innovative arrangement not only improves usability but also significantly optimizes efficiency for clients aiming to expand their computational capacities, making it an attractive solution for various computing needs. Consequently, SF Compute stands out in the market by offering flexibility and cost-effectiveness that traditional computing solutions often lack.

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.

Media

Media

No images available

Integrations Supported

Kubernetes
Liquid AI
NVIDIA virtual GPU
Phind
VMware Cloud

Integrations Supported

Kubernetes
Liquid AI
NVIDIA virtual GPU
Phind
VMware Cloud

API Availability

Has API

API Availability

Has API

Pricing Information

$1.48 per hour
Free Version
Free Trial Offered?

Pricing Information

$0.16 per GPU 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

SF Compute

Company Location

United States

Company Website

sfcompute.com

Company Facts

Organization Name

Lium

Company Website

lium.io

Categories and Features

Categories and Features

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