Product
Unlock the Next Step: From Cisco AI PODs to Self-service GPU Clouds with Rafay
Read Now
ai-infrastructure
enterprises
gpu-cloud
gpu-paas
2025-10-20
SERVICES YOU CAN LAUNCH WITH THE RAFAY PLATFORM
NIM-Powered Model Marketplace as a Service, Delivered by Rafay
The NIM-Powered Model Marketplace as a Service, delivered by Rafay, enables telecommunications providers and sovereign cloud operators to transform GPU infrastructure into fully operational AI marketplaces.
Built on NVIDIA NIM and orchestrated by Rafay, this solution allows telcos to launch branded AI marketplaces where enterprises can select, deploy, and consume AI services instantly, with full governance, sovereignty, and monetization controls.
Traditional approaches to AI service delivery face challenges: static model catalogs lack operational readiness, custom integrations delay launches, and enterprises require sovereign, compliant services that hyperscalers can’t easily provide.
Rafay and NVIDIA NIM solve this by enabling telcos to stand up governed, production-ready marketplaces in weeks, connecting compute, models, and blueprints in a unified platform.
Models-as-a-Service: Expose NVIDIA NIM-powered models as governed API endpoints with tenant-level usage tracking
Blueprints-as-a-Service: Offer NVIDIA-curated blueprints (fraud detection, medical imaging, data flywheels) deployable in one click
Compute-as-a-Service: Provide on-demand provisioning of Kubernetes clusters, virtual machines, and GPU slices
Operationalize AI Services Across Compute and Models
Rafay provides the orchestration and automation layer needed to operationalize AI service delivery for telcos, enterprises, and sovereign cloud providers.
Unified Marketplace Experience
White-labeled portals allow enterprises to browse, deploy, and consume AI services instantly.
Governed Service Delivery
Built-in usage tracking, compliance, and sovereignty ensure every deployment meets enterprise and regulatory standards.
API Compatibility
Seamless provisioning and management of compute, storage, and networking across Kubernetes and VM environments.
Rapid Deployment Framework
Telcos can stand up fully branded AI marketplaces in weeks, drastically reducing time to production.
Accelerate Time-to-Market and Enterprise Adoption
Launch operationalized, NIM-powered AI marketplaces in weeks instead of months
Offer differentiated SKUs spanning compute, models, and blueprints to maximize ROI
.svg)
Deliver compliant, sovereign AI services that meet enterprise requirements hyperscalers struggle to match
Enable national cloud operators to drive AI innovation while retaining control over data and operations
Featured Resources
Unlock Your AI Potential with Cisco and Rafay: Transform AI PODs into a Self-Service GPU Cloud
Cisco provides AI-optimized infrastructure. The Rafay Platform makes it usable across teams, tenants, and use cases in days.
Download now
The CIO’s guide to scalable, compliant, and developer-ready AI deployment
Learn how the Rafay Platform "allows CIOs to align their AI strategies with national regulatory frameworks while maintaining global scalability and agility" in this analyst report.
Download now
Rafay Named Outperformer in 2025 GigaOm Radar Report for Managed Kubernetes
The latest Radar Report from GigaOm, the Rafay Platform's "Managed Kubernetes" capability is ranked as an “Outperformer."
Download now
Gartner® Report – Market Trend: CSPs’ Opportunity to Capitalize on AI Infrastructure Through GPU as a Service
CSPs can harness these strategic opportunities to capitalize on the AI-optimized IaaS market, projected at $80 billion in 2028.
Download now
.png)
Building AI Value within Borders
“Rafay’s central orchestration platform facilitates efficient, self-service infrastructure and AI application management” writes Accenture | NVIDIA in 2025 Building AI Value Within Borders paper.
Download now
GPU Cloud Evaluation Report
Learn how to accelerate the ROI of your GPU infrastructure by quickly delivering a fully functional GPU Cloud with the self-service workflows and infrastructure orchestration of the Rafay Platform.
Download now
.png)
How Enterprise Platform Teams Can Accelerate AI/ML Initiatives
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.
Download now
How Enterprise Platform Teams Can Accelerate AI/ML Initiatives
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.
Download now
10 Multi-Tenancy Best Practices for Namespaces as a Service (NaaS)
The white paper promises to delve into Kubernetes multi-tenancy best practices, aiming to guide organizations in leveraging Kubernetes effectively for improved resource utilization and cost efficiency.
Download now
"We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay"
"We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay"
"We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay"
Most Recent Blogs
.png)
Product
Dynamic Resource Allocation for GPU Allocation on Rafay's MKS (Kubernetes 1.34)
Read Now
No items found.
2025-10-06
GPU/Neocloud Billing using Rafay’s Usage Metering APIs
Cloud providers offering GPU or Neo Cloud services need accurate and automated mechanisms to track resource consumption.
Read Now
No items found.
2025-09-13
Try the Rafay Platform for Free
See for yourself how to turn static compute into self-service engines. Deploy AI and cloud-native applications faster, reduce security & operational risk, and control the total cost of Kubernetes operations by trying the Rafay Platform!
