Rafay-Powered Virtual Machines as a Service | Rafay Platform
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
The Definitive GPU PaaS Reference Architecture
Unlock Your AI Potential with Cisco and Rafay: Transform AI PODs into a Self-Service GPU Cloud
The CIO’s guide to scalable, compliant, and developer-ready AI deployment
Rafay Named Outperformer in 2025 GigaOm Radar Report for Managed Kubernetes
Building AI Value within Borders
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How Enterprise Platform Teams Can Accelerate AI/ML Initiatives
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.