Rafay-Powered Model as a Service (MaaS) enables organizations to deploy, scale, and manage inference endpoints for large language models (LLMs) and other AI workloads.
Traditional inference management is complex and resource-intensive. Static GPU allocation limits scalability, idle resources increase costs, and manual management slows response times.
Rafay addresses these challenges by offering self-service APIs, elastic scaling, and integrated governance, allowing operators to serve production-grade inference workloads with consistency and compliance.
Service providers, enterprises, and regional cloud operators can deliver LLM-ready inference services with full policy control, auditability, and optimized resource usage through Rafay’s managed platform.
Instant Deployment: Launch inference services in seconds with vLLM-based runtime environments.
Elastic Scaling: Scale model serving dynamically across clusters for predictable latency and throughput.
Integrated Governance: Manage performance, policies, and compliance through centralized visibility.
Rafay streamlines how AI models are deployed and operated in production environments, reducing the burden of manual configuration and scaling.
Utilize vLLM’s memory-efficient architecture for low-latency, high-throughput inference.
Seamlessly expand inference workloads across GPUs and nodes with balanced utilization.
Support for Hugging Face and OpenAI-compatible APIs ensures ecosystem integration.
Centralized governance for consistent performance, access control, and auditability.
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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!
