Audience

AI developers, researchers, or startups looking for a tool for training large models or heavy inference

About SF Compute

SF Compute is a marketplace platform that offers on-demand access to large-scale GPU clusters, letting users rent powerful compute resources by the hour, not requiring long-term contracts or heavy upfront commitments. You can choose between virtual machine nodes or Kubernetes clusters (with InfiniBand support for high-speed interconnects), and specify the number of GPUs, duration, and start time as needed. It supports flexible “buy blocks” of compute; for example, you might request 256 NVIDIA H100 GPUs for three days at a capped hourly rate, or scale down/up dynamically depending on budget. For Kubernetes clusters, spin-up times are fast (about 0.5 seconds); VMs take around 5 minutes. Storage is robust, including 1.5+ TB NVMe and 1 TB + RAM, and there are no data transfer (ingress/egress) fees, so you don’t pay to move data. SF Compute’s architecture abstracts physical infrastructure behind a real-time spot-market and dynamic scheduler.

Pricing

Starting Price:
$1.48 per hour

Integrations

Ratings/Reviews

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Company Information

SF Compute
United States
sfcompute.com

Videos and Screen Captures

SF Compute Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Videos
Support
Phone Support
Online

SF Compute Frequently Asked Questions

Q: What kinds of users and organization types does SF Compute work with?
Q: What languages does SF Compute support in their product?
Q: What kind of support options does SF Compute offer?
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Q: What type of training does SF Compute provide?
Q: How much does SF Compute cost?

SF Compute Product Features