NVIDIA Run:aiNVIDIA
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Related Products
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About
Founded in 2017, Rafay transforms compute infrastructure into AI platforms, self-service cloud environments, and revenue-generating services — for enterprises, neoclouds, and sovereign AI clouds. From the moment hardware is racked — GPUs, VMs, bare metal, or any compute type — Rafay makes it immediately productive. Enterprises get developer self-service, AI workload delivery, and governance at scale. Cloud providers and sovereign clouds get the complete platform to launch AI services and monetize compute investment, including Token Factory for token-metered AI delivery and SLURM-as-a-Service for elastic HPC. Rafay is the only NVIDIA-certified reference architecture for GPU infrastructure delivery. GigaOm Leader and Outperformer, Kubernetes and AI Infrastructure Management, 2025.
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About
NVIDIA Run:ai is an enterprise platform designed to optimize AI workloads and orchestrate GPU resources efficiently. It dynamically allocates and manages GPU compute across hybrid, multi-cloud, and on-premises environments, maximizing utilization and scaling AI training and inference. The platform offers centralized AI infrastructure management, enabling seamless resource pooling and workload distribution. Built with an API-first approach, Run:ai integrates with major AI frameworks and machine learning tools to support flexible deployment anywhere. It also features a powerful policy engine for strategic resource governance, reducing manual intervention. With proven results like 10x GPU availability and 5x utilization, NVIDIA Run:ai accelerates AI development cycles and boosts ROI.
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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
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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
Enterprises, neoclouds, telcos, sovereign AI clouds, and service providers looking to transform GPU infrastructure into secure, self-service platforms for AI innovation, consumption, and monetization.
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Audience
Enterprises and AI teams seeking to optimize and scale GPU resources for AI training and inference across hybrid and multi-cloud environments
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Support
Phone Support
Supported
24/7 Live Support
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Online
Supported
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Support
Phone Support
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24/7 Live Support
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Online
Supported
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API
Offers API
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API
Offers API
Not Supported
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Screenshots and Videos |
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Pricing
No information available.
Free Version
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Free Trial
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Pricing
No information available.
Free Version
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Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
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Live Online
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In Person
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Training
Documentation
Supported
Webinars
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Live Online
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In Person
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Company InformationRafay
Founded: 2017
United States
rafay.co
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Company InformationNVIDIA
Founded: 1993
United States
www.nvidia.com/en-us/software/run-ai/
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Categories |
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Integrations
Amazon EKS
Supported
Amazon Web Services (AWS)
Supported
Azure Kubernetes Service (AKS)
Supported
Cisco CX Cloud
Supported
Google Cloud Platform
Supported
Google Kubernetes Engine (GKE)
Supported
HPE Ezmeral
Not Supported
Kubernetes
Supported
Microsoft Azure
Supported
Rancher
Supported
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Integrations
Amazon EKS
Not Supported
Amazon Web Services (AWS)
Not Supported
Azure Kubernetes Service (AKS)
Not Supported
Cisco CX Cloud
Not Supported
Google Cloud Platform
Not Supported
Google Kubernetes Engine (GKE)
Not Supported
HPE Ezmeral
Supported
Kubernetes
Not Supported
Microsoft Azure
Not Supported
Rancher
Not Supported
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