# **Rafay-powered Virtual Machines-as-a-Service (VMaaS)**

Rafay-powered Virtual Machines as a Service (VMaaS) delivers GPU- and CPU-based virtual machines as secure, scalable, consumption-based services, built on mature KVM virtualization. Rafay turns existing compute into fully managed, tenant-ready VM SKUs with governance, visibility, and automated lifecycle control, with NUMA topology-aware passthrough for near bare-metal performance and hardware-level tenant isolation.

- **Near Bare-Metal Performance:** NUMA topology-aware GPU passthrough on KVM, validated against the NVIDIA reference architecture.
- **Hardware-Level Isolation:** NVIDIA DPU-based hard tenancy with SELinux-enforced boundaries and per-tenant network and storage isolation.
- **On-Demand with Metering:** Self-provision 1 to 8 GPUs per VM, with per-second metering and billing.

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## Simplify Virtual Machine Provisioning and Governance

_One workflow places, provisions, and configures each VM across environments_

### **Smart Scheduling**

Intelligent matchmaking places each VM by NUMA topology and GPU layout, then provisions it in one workflow

### **Integrated Storage Options**

Turnkey connections to Ceph, DDN, Weka, Vast, Dell PowerStore, and other platforms

### **Hardware-Level Multi-Tenancy**

NVIDIA DPU-based hard tenancy, with TEE-secured confidential VMs for sensitive workloads

### **Network Automation**

Per-tenant VRF isolation, public and private IPAM, and automated firewall and NAT rules, with dynamic VRFs via Netris.

## Convert Infrastructure into Compliant, High-Value Services

### Convert idle compute resources into cloud-grade virtual machine services in weeks.

### NUMA-aware passthrough delivers full GPU performance with the flexibility of VMs.

### Deliver compliant, in-region VM services with VPC isolation and built-in governance.

### Flexible SKUs and vGPU sharing drive fleet density, with per-second metering for precise chargeback.

## 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)

[The Definitive GPU PaaS Reference Architecture](https://info@rafay.co/nvidia-reference-architecture)

[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)

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

[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)

[Building AI Value within Borders](/content/resources/accenture-whitepaper/index.html)

[GPU cloud evaluation report](https://info@rafay.co/resources/white-papers/gpu-cloud-evaluation-report)

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[How Enterprise Platform Teams Can Accelerate AI/ML Initiatives](/content/resources/white-papers/how-enterprise-platform-teams-accelerate-ai-ml-initiatives/index.html)

## Quotes

“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

## 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://info@rafay.co/start)
