# **NVIDIA Blueprints-as-a-Service, Powered by Rafay**

**NVIDIA Blueprints-as-a-Service powered by Rafay** enables organizations to transform **NVIDIA NIM Blueprints** into **fully operational, self-service AI services** that can be deployed in minutes instead of weeks.

Rafay automates the end-to-end process of provisioning, configuring, and operationalizing NVIDIA Blueprints, combining cloud-like agility with enterprise-grade control.

Service providers, enterprises, and sovereign cloud operators can now deliver **governed, compliant, and production-ready AI deployments** with a single click.

- **One-Click Deployment:** Deploy NVIDIA Blueprints instantly, including all associated NIM models and dependencies
- **Automated Infrastructure Orchestration:** Provision GPU, storage, and network resources automatically for each blueprint
- **Governed Operations:** Enforce role-based access, audit logging, and compliance controls across all deployments

## Automate Deployment and Lifecycle Management

Rafay simplifies the complexity of deploying and managing NVIDIA AI Blueprints across hybrid, cloud, and sovereign environments

### **NIM Model Integration**

Support for individual NIM models as modular components or combined multi-model blueprints

### **Self-Service Portal**

Expose blueprints as governed catalog items within Rafay’s multi-tenant interface

### **Air-Gapped & On-Prem Ready**

Deploy securely within disconnected or sovereign environments while maintaining compliance

### **Version & Lifecycle Management**

Manage updates to NIM components and dependencies without downtime

> “We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay.”  
>  
> Joe Vaughan  
> Chief Technology Officer, MoneyGram

## Accelerate AI Deployment and Ensure Consistency

### **Reduce deployment time from weeks to minutes through complete automation**

### **Ensure identical blueprint deployments across cloud, on-prem, or sovereign setups with zero drift**

### **Enable enterprises and national clouds to deploy complex AI workloads securely and locally**

### **Track resource usage, deployment health, and performance metrics in real time**

## Featured Resources

[Operationalizing AI Fabrics with Aviz ONES, NVIDIA Spectrum-X, and Rafay](https://info@rafay.co/white-papers/operationalizing-ai-fabrics-with-aviz-ones-nvidia-spectrum-x-rafay)  
Discover the new AI operations model available to enterprises that enables self-service consumption and cloud-native orchestration for developers.

[The Definitive GPU PaaS Reference Architecture](https://info@rafay.co/nvidia-reference-architecture)  
Understand what it takes to deliver the right GPU infrastructure to your business.

[Unlock Your AI Potential with Cisco and Rafay: Transform AI PODs into a Self-Service GPU Cloud](https://info@rafay.co/resources/white-papers/cisco-rafay-ai-pods-gpu-cloud)  
Cisco provides AI-optimized infrastructure. Rafay makes it usable across teams, tenants, and use cases in days.

[The CIO’s guide to scalable, compliant, and developer-ready AI deployment](https://info@rafay.co/research/silicon-media-analyst-report)  
Orchestrating the future of AI: The CIO’s guide to scalable, compliant, and developer-ready AI deployment

[Rafay Named Outperformer in 2025 GigaOm Radar Report for Managed Kubernetes](/content/resources/white-papers/rafay-named-outperformer-in-2025-gigaom-radar-report-for-managed-kubernetes/index.html)  
The latest Radar report from GigaOm, Managed Kubernetes Rafay is ranked as an “Outperformer” for its solution.

[Building AI Value within Borders](/content/resources/accenture-whitepaper/index.html)  
Rafay's central orchestration platform facilitates efficient, self-service infrastructure and AI application management.

[GPU cloud evaluation report](https://info@rafay.co/resources/white-papers/gpu-cloud-evaluation-report)  
Evaluating how the Rafay Platform delivers a GPU cloud for enterprises and cloud service providers by PivotNine.

[How Enterprise Platform Teams Can Accelerate AI/ML Initiatives](/content/resources/white-papers/how-enterprise-platform-teams-accelerate-ai-ml-initiatives/index.html)  
This paper explores the key challenges that organizations experience supporting these initiatives, as well as best practices for successfully leveraging Kubernetes to accelerate AI/ML projects.

## Hybrid Cloud Meets Kubernetes

Learn how to Streamline Kubernetes Ops in Hybrid Clouds with AWS & Rafay

[DOWNLOAD](https://info@rafay.co/resources/white-papers/hybrid-cloud-meets-kubernetes-how-to-reduce-complexity-with-amazon-eks-eks-d-and-rafay-systems)

## Start a conversation with Rafay

Talk with Rafay experts to assess your infrastructure, explore your use cases, and see how teams like yours operationalize AI/ML and cloud-native initiatives with self-service and governance built in.