# 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://pr@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://pr@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://pr@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://pr@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://pr@rafay.co/resources/white-papers/gpu-cloud-evaluation-report)
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**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://pr@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.
[Start a Conversation](https://pr@rafay.co/start)