Rafay-powered Bare Metal GPUs as a Service (BMaaS) helps organizations turn dedicated compute infrastructure into secure, differentiated, and revenue-ready services.
Traditional GPU rentals quickly become commoditized, provisioning takes weeks, utilization remains low, and customer expectations for performance and control go unmet. Rafay eliminates these bottlenecks by enabling elastic, self-service provisioning of bare metal GPU servers with governance, visibility, and metering built in.
Cloud and service providers can modernize their infrastructure portfolios, enterprises can empower internal AI and HPC teams, and sovereign operators can deliver in-region, compliant GPU services at scale.
Self-Service Provisioning: Tenants can deploy dedicated servers instantly without manual processes
Integrated Monitoring: Continuous visibility into usage, GPU health, and system performance
Accurate Metering: Low-granularity usage accounting supports transparent chargeback and revenue optimization
Rafay automates how GPU servers are deployed, managed, and scaled across multiple tenants and environments.
Expose NVIDIA H100, A100, and L40S models as premium bare metal SKUs with direct hardware access.
Scale up to eight GPUs per server using NVLink and NVSwitch for training or HPC workloads.
Secure workload separation with per-tenant tracking
InfiniBand and RDMA-enabled Ethernet deliver maximum throughput for distributed training and HPC performance.
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Aviz ONES, NVIDIA Spectrum-X Ethernet, and the Rafay Platform deliver a unified solution turning GPU fabrics into governed, cloud-native environments, instantly consumable.
Enterprises and Cloud Providers leverage the Rafay Platform to deliver self-service consumption of AI and cloud-native infrastructure to developers and data scientists.
Cisco provides AI-optimized infrastructure. The Rafay Platform makes it usable across teams, tenants, and use cases in days.
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.
The latest Radar Report from GigaOm, the Rafay Platform's "Managed Kubernetes" capability is ranked as an “Outperformer."
CSPs can harness these strategic opportunities to capitalize on the AI-optimized IaaS market, projected at $80 billion in 2028.
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“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.
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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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.
"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"
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As a sponsor of Gartner IOCS 2025, Rafay highlights why modern I&O needs a platform operating model to keep pace with cloud-native and AI workloads.
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The Rafay Partner Elevate Program is designed to empower our global ecosystem of partners from resellers and system integrators to managed service providers, to deliver cutting-edge AI, cloud, and Kubernetes outcomes faster and more profitably.
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This blog details the specific features of the Rafay Platform Version 4.0 Which Further Simplifies Kubernetes Management and Accelerates Cloud-Native Operations for Enterprises and Cloud Providers
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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!
