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.
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Nebius
Training-ready platform with NVIDIA® H100 Tensor Core GPUs. Competitive pricing. Dedicated support. Built for large-scale ML workloads: Get the most out of multihost training on thousands of H100 GPUs of full mesh connection with latest InfiniBand network up to 3.2Tb/s per host. Best value for money: Save at least 50% on your GPU compute compared to major public cloud providers*. Save even more with reserves and volumes of GPUs. Onboarding assistance: We guarantee a dedicated engineer support to ensure seamless platform adoption. Get your infrastructure optimized and k8s deployed. Fully managed Kubernetes: Simplify the deployment, scaling and management of ML frameworks on Kubernetes and use Managed Kubernetes for multi-node GPU training. Marketplace with ML frameworks: Explore our Marketplace with its ML-focused libraries, applications, frameworks and tools to streamline your model training. Easy to use. We provide all our new users with a 1-month trial period.
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Pricing
Starting Price:
$1.48 per hour
Integrations
Company Information
SF Compute
United States
sfcompute.com
Videos and Screen Captures
Other Useful Business Software
Host LLMs in Production With On-Demand GPUs
Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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?
SF Compute works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does SF Compute support in their product?
SF Compute supports these languages: English.
Q: What kind of support options does SF Compute offer?
SF Compute offers support via phone support and online.
Q: What other applications or services does SF Compute integrate with?
SF Compute integrates with: Kubernetes, Liquid AI, NVIDIA virtual GPU, Phind, and VMware Cloud.
Q: What type of training does SF Compute provide?
SF Compute provides training in the form of documentation and videos.
Q: How much does SF Compute cost?
Pricing for SF Compute starts at $1.48 per hour.
