Operationalizing AI Fabrics with Aviz ONES, NVIDIA Spectrum-X, and Rafay
Discover the new AI operations model available to enterprises that enables self-service consumption and cloud-native orchestration for developers.
services you can launch with the rafay platform
NVIDIA Blueprints-as-a-Service, Powered by Rafay
NVIDIA Blueprints are preconfigured reference workflows that combine NVIDIA NIM microservices, models, tools, and supporting components to help organizations build and deploy generative AI applications faster. They provide a starting point for use cases such as digital humans, retrieval-augmented generation (RAG), and agentic AI.
But deploying a Blueprint in production involves more than running the AI components. Teams must provision GPUs and other infrastructure, configure dependencies, manage Kubernetes environments, apply security and access controls, and maintain the deployment throughout its lifecycle.
Rafay turns NVIDIA Blueprints into fully operational, self-service AI services. Organizations can package Blueprints into governed services that users can deploy on demand across cloud, on-premises, hybrid, and sovereign environments.
- One-Click Deployment: Deploy NVIDIA Blueprints with their required NIM models, infrastructure, and dependencies.
- Automated Infrastructure Orchestration: Provision and configure the GPU, storage, networking, and Kubernetes resources each Blueprint requires.
- Governed Operations: Apply role-based access, policies, audit controls, and lifecycle management across Blueprint deployments.
Automate NVIDIA Blueprint Deployment and Lifecycle Management
Rafay simplifies the complexity of deploying and managing NVIDIA AI Blueprints across hybrid, cloud, and sovereign environments.
NIM Model Integration
Deploy individual NVIDIA NIM microservices as modular components or combine multiple NIMs into complete NVIDIA Blueprints.
Self-Service NVIDIA Blueprint Catalog
Expose approved blueprints as governed catalog items so developers and teams can deploy AI services on demand.
Air-Gapped and On-Premises Deployment
Deploy NVIDIA Blueprints securely across on-premises, hybrid, air-gapped, and sovereign environments.
Blueprint Version and Lifecycle Management
Manage Blueprint components, NIM versions, dependencies, and updates throughout the deployment lifecycle.
“We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay.”
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
.svg){kind=icon}
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
.png)
Whitepaper
Hybrid Cloud Meets Kubernetes
Learn how to Streamline Kubernetes Ops in Hybrid Clouds with AWS & Rafay
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.
Frequently Asked Questions
What types of NVIDIA Blueprints can Rafay support?
Rafay can operationalize NVIDIA Blueprints across a range of generative AI use cases, including RAG, AI agents, digital humans, and other NVIDIA AI workflows.
Who can use NVIDIA Blueprints deployed through Rafay?
Platform teams can make approved Blueprints available to developers, data scientists, and other users through Rafay’s self-service experience, with access controlled by organizational policies.
How does Rafay help organizations scale NVIDIA Blueprint deployments?
Rafay provides a consistent way to provision and manage Blueprint deployments across users, teams, and environments, helping organizations move from individual AI deployments to repeatable, scalable services.
What does Rafay add to NVIDIA Blueprints?
Rafay adds the operational layer around NVIDIA Blueprints, providing the automation, self-service experience, governance, and infrastructure orchestration needed to deliver them as enterprise AI services.
