Product
Unlock the Next Step: From Cisco AI PODs to Self-service GPU Clouds with Rafay
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ai-infrastructure
enterprises
gpu-cloud
gpu-paas
2025-10-20
SERVICES YOU CAN LAUNCH WITH THE RAFAY PLATFORM
Rafay-Powered Virtual Machines-as-a-Service (VMaaS)
Rafay-powered Virtual Machines as a Service (VMaaS) enables organizations to deliver GPU- or CPU-based virtual machines as secure, scalable, and consumption-based services.
Traditional VM offerings often lead to slow provisioning, poor utilization, and limited differentiation. Rafay transforms existing compute capacity into fully managed, tenant-ready VM SKUs, providing governance, visibility, and automated lifecycle control.
Service providers, enterprises, and sovereign cloud operators can offer high-performance VMs on demand, achieving faster service rollout, higher utilization, and greater operational efficiency.
Self-Service Provisioning: Tenants can configure and launch virtual machines instantly through an intuitive portal.
Elastic Scaling: Allocate between one and eight compute units per VM to meet AI, ML, or HPC workload needs.
Integrated Governance: Unified visibility, usage-based billing, and chargeback support for accurate accounting.
Simplify Virtual Machine Provisioning and Governance
Rafay streamlines the complexity of provisioning and managing virtual machines across diverse environments.
Pre-Configured Operating Environments
Ready-to-use images with network and driver integrations for faster onboarding
Integrated Storage Options
Turnkey connections to Ceph, DDN, Weka, Vast, Dell PowerStore, and other platforms
Monitoring and Metering
Real-time tracking of performance and usage for precise reporting
Network and Security Controls
VPC creation, public IP assignment, and firewall management for isolated deployments
Convert Infrastructure into Compliant, High-Value Services
Convert idle compute resources into cloud-grade virtual machine services in weeks.
Offer premium configurations with advanced networking and lifecycle automation.
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Deliver compliant, in-region VM services with VPC isolation and built-in governance.
Reduce manual provisioning, standardize workflows, and automate resource management end-to-end
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.
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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.
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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."
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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.
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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.
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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.
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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.
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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.
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"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
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Product
Dynamic Resource Allocation for GPU Allocation on Rafay's MKS (Kubernetes 1.34)
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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.
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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!
