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Description
lium.io gives developers, researchers and AI agents on-demand access to NVIDIA GPU capacity from independent providers. Rent a single GPU or a full 8-GPU node for training, fine-tuning, inference and batch workloads, with SSH and Jupyter access.
Use the web, CLI, Python SDK, API or MCP integration to deploy. Per-second billing and usage-based marketplace rates make short jobs practical, without a minimum commitment. Secure and Spot options let you choose capacity for your workload. Live prices and availability are published on the marketplace.
New accounts can receive $5 of credit after signup checks. GPU providers set their own rental prices and earn 95% of rental revenue plus bonuses. List capacity in the provider portal; developer guides are in the documentation.
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
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
Kubernetes
No
Liquid AI
No
NVIDIA virtual GPU
No
Phind
No
VMware Cloud
No
Integrations
Kubernetes
Yes
Liquid AI
Yes
NVIDIA virtual GPU
Yes
Phind
Yes
VMware Cloud
Yes
Pricing Details
$0.40 per GPU per hour
Usage-based marketplace pricing, billed per second. Providers set their own GPU-hour rates, which vary with supply. Check the live pricing page for current rates and availability. No minimum commitment. New accounts can receive $5 of credit after passing signup checks.
Free Trial
Yes
Free Version
No
Pricing Details
$1.48 per hour
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
Yes
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.io
Website
lium.io
Vendor Details
Company Name
SF Compute
Country
United States
Website
sfcompute.com
