NVIDIA virtual GPUNVIDIA
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Related Products
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About
NVIDIA virtual GPU (vGPU) software enables powerful GPU performance for workloads ranging from graphics-rich virtual workstations to data science and AI, enabling IT to leverage the management and security benefits of virtualization as well as the performance of NVIDIA GPUs required for modern workloads. Installed on a physical GPU in a cloud or enterprise data center server, NVIDIA vGPU software creates virtual GPUs that can be shared across multiple virtual machines, and accessed by any device, anywhere. Deliver performance virtually indistinguishable from a bare metal environment. Leverage common data center management tools such as live migration. Provision GPU resources with fractional or multi-GPU virtual machine (VM) instances. Responsive to changing business requirements and remote teams.
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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
Businesses and remote teams searching for a solution to improve their workloads through streamlined GPU performance
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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
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
No information available.
Free Version
Not Supported
Free Trial
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
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationNVIDIA
Founded: 1993
United States
www.nvidia.com/en-us/data-center/virtual-solutions/
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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
AWS Marketplace
Supported
Armet AI
Supported
Azure Marketplace
Supported
IBM Spectrum LSF Suites
Supported
IONOS Cloud GPU Servers
Supported
IREN Cloud
Supported
Kubernetes
Not Supported
Liquid AI
Not Supported
Mistral Compute
Supported
NVIDIA Base Command Manager
Supported
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Integrations
AWS Marketplace
Not Supported
Armet AI
Not Supported
Azure Marketplace
Not Supported
IBM Spectrum LSF Suites
Not Supported
IONOS Cloud GPU Servers
Not Supported
IREN Cloud
Not Supported
Kubernetes
Supported
Liquid AI
Supported
Mistral Compute
Not Supported
NVIDIA Base Command Manager
Not Supported
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