Related Products
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About
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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About
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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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Founders of AI startups, ML engineers, MLOps engineers, and any roles interested in optimizing compute resources for their AI/ML tasks
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Audience
AI developers, researchers, or startups looking for a tool for training large models or heavy inference
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$2.66/hour
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
$1.48 per hour
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationNebius
Founded: 2022
Netherlands
nebius.ai/
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Company InformationSF Compute
United States
sfcompute.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
AI SpendOps
Supported
Kubernetes
Not Supported
Liquid AI
Not Supported
NVIDIA DGX Cloud Lepton
Supported
NVIDIA DGX Cloud Serverless Inference
Supported
NVIDIA virtual GPU
Not Supported
Nebius Token Factory
Supported
Phind
Not Supported
Shadeform
Supported
VMware Cloud
Not Supported
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Integrations
AI SpendOps
Not Supported
Kubernetes
Supported
Liquid AI
Supported
NVIDIA DGX Cloud Lepton
Not Supported
NVIDIA DGX Cloud Serverless Inference
Not Supported
NVIDIA virtual GPU
Supported
Nebius Token Factory
Not Supported
Phind
Supported
Shadeform
Not Supported
VMware Cloud
Supported
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