Bare Metal GPUs-as-a-Service (BMaaS) | Rafay Platform
Rafay-powered Bare Metal GPUs as a Service (BMaaS)
Rafay-powered Bare Metal GPUs as a Service (BMaaS) gives customers direct access to the host operating system on dedicated GPU servers, for teams running large distributed training jobs or highly opinionated software stacks that need control a virtualized environment cannot offer.
The platform delivers each server with secure access, networked with the customer's other rented servers and the right storage mounted, running with zero virtualization overhead for maximum performance on AI training, inference, and HPC.
- Automated Bring-Up: Rafay matches the request to inventory, boots and discovers the server, installs the OS, and configures drivers and services.
- Networking & Tenant Isolation: North-south through the Tenant Access Network, east-west over InfiniBand, with EVPN and Pkey isolation via NVIDIA UFM so one tenant's traffic never reaches another's.
- Storage, Access & Firewall: Per-tenant storage mounted to the server, SSH via password or key, a public IP from the tenant pool, and automated security groups and NAT rules.
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Bare Metal GPUs as a Service (BMaaS)
Rafay-powered Bare Metal GPUs as a Service (BMaaS) helps organizations turn dedicated compute infrastructure into secure, differentiated, and revenue-ready services.
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Simplify and Automate GPU Operations
Rafay automates how GPU servers are deployed, managed, and scaled across multiple tenants and environments.
Automated Bare Metal Bring-Up
Match servers from inventory, reserve IPs, boot and discover, install the OS, and configure drivers and services in one workflow
Network Automation & Tenant Isolation
Per-tenant VRFs, north-south tenant access, and optional firewall rules, programmed automatically as tenants onboard
High-Speed Interconnects
InfiniBand and Ethernet with RDMA for low-latency distributed training and HPC
Latest GPU Hardware
NVIDIA H100, A100, L40S and more, up to 8 GPUs per server with NVLink and NVSwitch
“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
Drive Efficiency and Business Value
Stand up a governed, multi-tenant bare metal service in weeks, not the months a hand-built platform requires
Move beyond commodity rentals with premium SKUs, performance SLAs, analytics, and integrated billing
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Deliver air-gapped, compliant GPU environments tailored for regulated industries and national AI projects
Reallocate expensive GPUs to the next tenant in minutes, not weeks, with per-second billing to maximize utilization
Featured Resources
Operationalizing AI Fabrics with Aviz ONES, NVIDIA Spectrum-X, and Rafay \
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Discover the new AI operations model available to enterprises that enables self-service consumption and cloud-native orchestration for developers.
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The Definitive GPU PaaS Reference Architecture \
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Understand what it takes to deliver the right GPU infrastructure to your business.
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Cisco provides AI-optimized infrastructure. Rafay makes it usable across teams, tenants, and use cases in days.
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Orchestrating the future of AI: The CIO’s guide to scalable, compliant, and developer-ready AI deployment
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GPU cloud evaluation report \
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Evaluating how the Rafay Platform delivers a GPU cloud for enterprises and cloud service providers by PivotNine.
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How Enterprise Platform Teams Can Accelerate AI/ML Initiatives \
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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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Learn More](/content/resources/white-papers/how-enterprise-platform-teams-accelerate-ai-ml-initiatives/index.html)
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.