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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
SF Compute serves as a marketplace platform providing on-demand access to extensive GPU clusters, enabling users to rent high-performance computing resources by the hour without the need for long-term commitments or hefty upfront investments. Users have the flexibility to select either virtual machine nodes or Kubernetes clusters equipped with InfiniBand for rapid data transfer, allowing them to determine the number of GPUs, desired duration, and start time according to their specific requirements. The platform offers adaptable "buy blocks" of computing power; for instance, clients can request a set of 256 NVIDIA H100 GPUs for a three-day period at a predetermined hourly price, or they can adjust their resource allocation depending on their budgetary constraints. When it comes to Kubernetes clusters, deployment is incredibly swift, taking approximately half a second, while virtual machines require around five minutes to become operational. Furthermore, SF Compute includes substantial storage options, featuring over 1.5 TB of NVMe and upwards of 1 TB of RAM, and notably, there are no fees for data transfers in or out, meaning users incur no costs for data movement. The underlying architecture of SF Compute effectively conceals the physical infrastructure, leveraging a real-time spot market and a dynamic scheduling system to optimize resource allocation. This setup not only enhances usability but also maximizes efficiency for users looking to scale their computing needs.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Kubernetes
Liquid AI
NVIDIA virtual GPU
Phind
VMware Cloud
Pricing Details
$0.16 per GPU per hour
Free Trial
Free Version
Pricing Details
$1.48 per hour
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Lium
Website
lium.io
Vendor Details
Company Name
SF Compute
Country
United States
Website
sfcompute.com
